VisLab · Publications

Conferences

Compact publication table for the VisLab archive.

390 publications

40 topics

Conferences

390 publications

Year	Publication	Venue	Links
2026	Automated detection of palimpsest ripples from Earth to Mars: Implications for recognizing biosignatures on other planets M. Droser, R. Surprenanat, S.P. Jonnalagedda, E. Hughes, F.R-Hernandez and B. Bhanu, “Automated detection of palimpsest ripples from Earth to Mars: Implications for recognizing biosignatures on other planets,” The Astrobiology Science Conference (AbSciCon), Madison, WI, May 17-22, 2026. (Extended Abstract) Video BioinformaticsObject Recognition	Conferences	Manual link
2025	Impact of clinical care delivery on physiological markers of hypoxemia and biochemical markers of hypoxia in premature neonates A. Pentecost, PhD, N. Brashear, PhD, A. Antimo, BS, D. Boskovic, PhD, C. Perry, PhD, A. Hopper, MD, M. Goldstein, MD, Bir Bhanu, PhD, U. Oyoyo, MLIS, MPH, D. Angeles, PhD, “Impact of clinical care delivery on physiological markers of hypoxemia and biochemical markers of hypoxia in premature neonates,” Loma Linda University Basic Science Symposium, Oct. 30, 2025. Object Recognition	Conferences	Manual link
2024	Uncovering Hidden Emotions with Adaptive Multi-Attention Graph Networks A. J. Rakesh Kumar and B. Bhanu, "Uncovering Hidden Emotions with Adaptive Multi-Attention Graph Networks," 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA, 2024, pp. 4822-4831, doi: 10.1109/CVPRW63382.2024.00485. Expressions/EmotionsMachine LearningNavigation/Motion/Robotics	2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)	Link · Link
2023	A depth-guided attention strategy for crowd counting H. Chen, Z. Li, B. Bhanu, D. Lu and X. Han, “A depth-guided attention strategy for crowd counting,” 32nd International Conference on Artificial Neural Networks, (ICANN), Crete, Greece, September 26 – 29, 2023, pp. 25-37. Machine LearningObject Recognition3D	Conferences	Link · Link
2023	ESSL: Enhanced spatio-temporal self-selective learning framework for unsupervised video anomaly detection Q. Li, X. Pan, F. Xiao and B. Bhanu, “ESSL: Enhanced spatio-temporal self-selective learning framework for unsupervised video anomaly detection,” 26th European Conference on Artificial Intelligence (ECAI-23), Krakow, Poland, Sept. 30 - Oct. 5, 2023, pp. 1398-1405. Acceptance rate 24% out of 1631 full paper submissions. Video Networks/AnalysisMachine LearningObject RecognitionMiscellaneous Learning	Conferences	Link · Link
2023	Novel body biometric for long-range recognition under extreme conditions P. Jonnalagedda and B. Bhanu, “Novel body biometric for long-range recognition under extreme conditions,” International Joint Conference on Biometrics, Ljubljana, Slovenia, September 25-28, 2023. Oral Presentation. BiometricsObject RecognitionNavigation/Motion/Robotics	Conferences	Link · Link
2023	Relational edge-node graph attention network for classification of micro-expressions A.J.R. Kumar and B. Bhanu, “Relational edge-node graph attention network for classification of micro-expressions,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 5th Workshop and Competition on Affective Behavior Analysis in the Wild, Vancouver, Canada, June 19, 2023. Expressions/EmotionsMachine LearningObject Recognition	Conferences	Link · Link
2022	2Dite-HRNet: Dynamic lightweight high-resolution network for human pose estimation Q. Li, Z. Zhang, F. Xiao, F. Zhang and B. Bhanu, “2Dite-HRNet: Dynamic lightweight high-resolution network for human pose estimation,” Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, pp. 1095-1101, July 2022. Prediction	Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence	Link · Link
2022	Automated remote biosignatures detection using modified spaceseg model P. Jonnalagedda, R. L. Surprenant, M. L. Droser, and B. Bhanu, ”Automated remote biosignatures detection using modified spaceseg model,” NASA 53rd Lunar and Planetary Science Conference (LPSC), Houston, TX, March 7–11, 2022. (Abstract Peer-Reviewed) Video BioinformaticsObject Recognition	Conferences	Manual link
2022	Exploring the utility of palimpsest ripples from the Ediacara Member, South Australia (~550 Ma) as definitive, macroscopic, and remotely detectable biosignatures R.L. Surprenant, S.P. Jonnalagedda, B. Bhanu, and M. Droser, “Exploring the utility of palimpsest ripples from the Ediacara Member, South Australia (~550 Ma) as definitive, macroscopic, and remotely detectable biosignatures,” AbSciCon22 – Origins and Exploration: From Stars to Cells. Atlanta, GA, May 15-20, 2022. (Abstract Peer-Reviewed) Video Bioinformatics	Conferences	—
2022	MTKDSR: Multi-teacher knowledge distillation for super resolution image reconstruction G. Yao, Z. Li, B. Bhanu, Z. Kang, Z. Zhong and Q. Zhang, “MTKDSR: Multi-teacher knowledge distillation for super resolution image reconstruction,” 26th International Conference on Pattern Recognition, Montreal, Quebec, Canada, August 21-25, 2022, pp. 352-358. Super-Resolution	Conferences	Link · Link
2022	Three stream graph attention network using dynamic patch selection for the classification of micro-expressions A.J.R. Kumar and B. Bhanu, “Three stream graph attention network using dynamic patch selection for the classification of micro-expressions,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 3rd Workshop and Competition on Affective Behavior Analysis in the Wild, New Orleans, Louisiana, June 19, 2022. Expressions/EmotionsMachine LearningObject Recognition	Conferences	Link · Link
2021	Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning A. Gupta, P. Jonnalagedda, B. Bhanu and A.K. Roy-Chowdhury, “Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning,” Proceedings of the 29th ACM International Conference on Multimedia, pp. 327-336, October 17, 2021. Video Networks/AnalysisSuper-ResolutionMachine LearningMiscellaneous Learning	Proceedings of the 29th ACM International Conference on Multimedia	Link · Manual link
2021	Automated detection and characterization of biosignatures for understanding the origins of life S.P. Jonnalagedda, R. Surprenant, M. Droser and B. Bhanu, “Automated detection and characterization of biosignatures for understanding the origins of life,” Astrobiology Graduate Conference, September 14-17, 2021. (Abstract Submission). Video BioinformaticsObject Recognition	Conferences	—
2021	Depth videos for the classification of micro-expressions A.J.R. Kumar, B. Bhanu, C. Casey, S.C. Cheung and A. Seitz, “Depth videos for the classification of micro-expressions,” International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021. Expressions/EmotionsVideo Networks/AnalysisMachine LearningObject Recognition3D	Conferences	Link · Link
2021	Early wildfire smoke detection in videos T. Gupta, H. Liu and B. Bhanu, “Early wildfire smoke detection in videos,” International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021. Video Networks/AnalysisObject Recognition	Conferences	Link · Link
2021	Fast region-adaptive defogging and enhancement for outdoor images with sky Z. Li, X. Zheng, B. Bhanu, S. Long, Q. Zhang and Z. Huang, “Fast region-adaptive defogging and enhancement for outdoor images with sky,” International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021. Super-ResolutionSegmentation	Conferences	Link · Link
2021	Fully convolutional scene graph generation H. Liu, N. Yan, M. Mortazavi and B. Bhanu, “Fully convolutional scene graph generation,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, June 19-25, 2021. Selected as Oral presentation, Oral acceptance rate 4.59%, Poster acceptance rate 22.41%, Conference total acceptance rate 27%. (Selected from 5900 valid submissions from a total of 7500 submissions). Orals traditionally represent significant papers that are of broader interest to the CVPR community. Also on arXiv, preprint arXiv: 2103.16083. Semantics, Retrieval, VQAMachine LearningDeep/Online LearningObject Recognition	Conferences	Link · Link
2021	Learning local recurrent models for human mesh recovery R. Li, S. Karanam, R. Li, T. Chen, B. Bhanu and Z. Wu, “Learning local recurrent models for human mesh recovery,” International Conference on 3D Vision, London, December 1-3, 2021. Machine LearningMiscellaneous Learning	Conferences	Link · Link
2021	Micro-expression classification based on landmark relations with graph attention convolutional network A.J.R. Kumar and B. Bhanu, “Micro-expression classification based on landmark relations with graph attention convolutional network,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Analysis and Modeling of Faces and Gesture, Nashville, TN, June 19, 2021. Expressions/EmotionsMachine LearningDeep/Online LearningObject Recognition	Conferences	Link · Link
2021	MonoIndoor: Towards good practice of self-supervised monocular depth estimation for indoor environments P. Ji, R. Li, B. Bhanu and Y. Xu, “MonoIndoor: Towards good practice of self-supervised monocular depth estimation for indoor environments,” International Conference on Computer Vision, Montreal, Quebec, Canada, Oct. 11-17-2021. Acceptance Rate: 25.9% out of 6236 submissions. Machine LearningPrediction3D	Conferences	Link · Link
2021	Role of cycle consistency for generating better human action videos from a single frame R. Li and B. Bhanu, “Role of cycle consistency for generating better human action videos from a single frame,” International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021. Video Networks/Analysis	Conferences	Link · Link
2021	SPACESeg: Automated detection of bed junction morphologies indicating signs of life in Ediacaran period S.P. Jonnalagedda, R. Surprenant, M. Droser and B. Bhanu, “SPACESeg: Automated detection of bed junction morphologies indicating signs of life in Ediacaran period,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) First Workshop on Artificial Intelligence for Space (AI4Space), Nashville, TN, June 19, 2021. This paper received the Best Presentation Award. Video BioinformaticsObject Recognition	Conferences	Link · Link
2020	Defending black box facial recognition classifiers against adversarial attacks R. Theagarajan and B. Bhanu, “Defending black box facial recognition classifiers against adversarial attacks,” 15th IEEE Computer Society Workshop on Biometrics in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, June 14-19, 2020. BiometricsFace/IrisSecurity and BiometricsMachine LearningObject RecognitionTargets/Objects	Conferences	Link · Link
2020	Feature disentanglement to aid imaging biomarker characterization for genetic mutations P. Jonnalagedda, B. Weinberg, J. Allen and B. Bhanu, “Feature disentanglement to aid imaging biomarker characterization for genetic mutations,” Medical Imaging with Deep Learning (MIDL) Conference, Proceedings of Machine Learning Research, Montreal, Canada, July 6-8, 2020. (Long paper) Video BioinformaticsEvolutionary Learning	Conferences	Manual link
2020	SAGE: Sequential attribute generator for analyzing glioblastomas using limited dataset P. Jonnalagedda, B. Weinberg, J. Allen, T.L. Min, S. Bhanu and B. Bhanu, “SAGE: Sequential attribute generator for analyzing glioblastomas using limited dataset,” International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021. Also at arXiv preprint arXiv: 2005.07225, 2020. Video BioinformaticsPlant & Cancer CellsBrain	Conferences	Link · Link
2020	Towards visually explaining variational autoencoders W. Liu, R. Li, M. Zheng, S. Karanam, Z. Wu, B. Bhanu, R.J. Radke, O. Camps, “Towards visually explaining variational autoencoders,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, June 14-19, 2020. Paper (Selected for oral presentation, acceptance rate, 5.7%; poster presentation acceptance rate, 16%; total 22% papers accepted out of 6680 full length paper submissions). Machine LearningDeep/Online Learning	Conferences	Link · Link
2019	Classification of facial micro-expressions using motion magnified emotion avatar images A.J.R. Kumar, R. Theagarajan, O. Peraza and B. Bhanu, “Classification of facial micro-expressions using motion magnified emotion avatar images,” IEEE Workshop on Face and Gesture Analysis for Health Informatics, in conjunction with IEEE CVPR Conference, Long Beach, CA, June 17, 2019. Face/IrisExpressions/EmotionsMachine LearningObject RecognitionNavigation/Motion/Robotics	Conferences	Manual link
2019	Fine-grained visual dribbling style analysis for soccer videos with augmented dribble energy image R. Li and B. Bhanu, “Fine-grained visual dribbling style analysis for soccer videos with augmented dribble energy image,” IEEE Workshop on Computer Vision in Sports, in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, June 17, 2019. Video Networks/Analysis	Conferences	Link · Link
2019	Pose-guided R-CNN for jersey number recognition in sports H. Liu and B. Bhanu, “Pose-guided R-CNN for jersey number recognition in sports,” IEEE Workshop on Computer Vision in Sports, in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, June 17, 2019. Deep/Online LearningObject Recognition	Conferences	Link · Link
2019	ShieldNets: Defending against adversarial attacks through probabilistic adversarial robustness R. Theagarajan, M. Chen, B. Bhanu and J. Zhang, “ShieldNets: Defending against adversarial attacks through probabilistic adversarial robustness,” IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, CA, June 16-20, 2019. (25.1% papers accepted out of 5165 submissions). Security and BiometricsBayesian LearningTargets/Objects	Conferences	Link · Link
2018	3D Reconstruction of phase contrast images using focus measures V. On, A. Zahedi and B. Bhanu, “3D Reconstruction of phase contrast images using focus measures,” IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. 3D	Conferences	Link · Link
2018	An unbiased temporal representation for video-based person re-identification X. Zhang and B. Bhanu, “An unbiased temporal representation for video-based person re-identification,” IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. BiometricsVideo Networks/AnalysisTracking/Re-Identification	Conferences	Link · Link
2018	DEEPAGENT: An algorithm integration approach for person re-identification F. Jiao and B. Bhanu, “DEEPAGENT: An algorithm integration approach for person re-identification,” IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. BiometricsTracking/Re-IdentificationDeep/Online Learning	Conferences	Link · Link
2018	DeepDriver: Automated system for measuring valence and arousal in car driver videos R. Theagarajan, B. Bhanu and A. Cruz, “DeepDriver: Automated system for measuring valence and arousal in car driver videos,” International Conference on Pattern Recognition, Beijing, China, August 20-24, 2018. Video Networks/AnalysisDeep/Online Learning	Conferences	Link · Link
2018	DeephESC: An automated system for generating and classification of human embryonic stem cells R. Theagarajan, X. Guan and B. Bhanu, “DeephESC: An automated system for generating and classification of human embryonic stem cells,” International Conference on Pattern Recognition, Beijing, China, August 20-24, 2018. Video BioinformaticsStem CellsMachine LearningDeep/Online LearningObject Recognition	Conferences	Link · Link
2018	DYFUSION: Dynamic IR/RGB fusion for maritime vessel recognition C. Santos and B. Bhanu, “DYFUSION: Dynamic IR/RGB fusion for maritime vessel recognition,” IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. Object RecognitionRegistration & Fusion	Conferences	Link · Link
2018	HESCNET: A synthetically pre-trained convolutional neural network for human embryonic stem cell colony classification A. Witmer and B. Bhanu, “HESCNET: A synthetically pre-trained convolutional neural network for human embryonic stem cell colony classification,” IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. Video BioinformaticsStem CellsMachine LearningDeep/Online LearningObject Recognition	Conferences	Link · Link
2018	Improve transmission by designing filters for image dehazing Y. Chen, Z. Li, B. Bhanu, D. Tang, Q. Peng, Q. Zhang, “Improve transmission by designing filters for image dehazing,” 3rd IEEE International Conference on Image, Vision and Computing, June 27-29, 2018, Chongqing, China. Super-Resolution	Conferences	Link · Link
2018	Inferring stem cell protein expression from dynamic colony morphology using machine learning algorithms A. Witmer, P. Talbot, B. Bhanu, “Inferring stem cell protein expression from dynamic colony morphology using machine learning algorithms,” 19th UC Systemwide Bioengineering Symposium, University of California at Riverside, June 21-23, 2018. Video BioinformaticsStem CellsMachine LearningMiscellaneous Learning	Conferences	Manual link
2018	Latent fingerprint image quality assessment using deep learning J. Ezeobiejesi and B. Bhanu, “Latent fingerprint image quality assessment using deep learning,” Biometrics Workshop in conjunction with CVPR 2018, Salt Lake City, UT, June 18, 2018. BiometricsFingerprintMachine LearningDeep/Online LearningMiscellaneous Learning	Conferences	Link · Link
2018	Multi-label classification of stem cell microscopy images using deep learning A. Witmer and B. Bhanu, “Multi-label classification of stem cell microscopy images using deep learning,” International Conference on Pattern Recognition, Beijing, China, August 20-24, 2018. Video BioinformaticsStem CellsMachine LearningDeep/Online LearningObject RecognitionMiscellaneous Learning	Conferences	Link · Link
2018	MVPNets: Multi-Viewing path deep learning neural networks for magnification invariant diagnosis in breast cancer P. Jonnalagedda, D. Schmolze and B. Bhanu, “MVPNets: Multi-Viewing path deep learning neural networks for magnification invariant diagnosis in breast cancer,” The 18th IEEE International Conference on BioInformatics and BioEngineering, Taichung, Taiwan, October 29-31, 2018. Video BioinformaticsPlant & Cancer CellsMachine LearningDeep/Online LearningMiscellaneous Learning	Conferences	Link · Link
2018	Patch-based latent fingerprint matching using deep learning J. Ezeobiejesi and B. Bhanu, “Patch-based latent fingerprint matching using deep learning,” IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. BiometricsFingerprintMachine LearningDeep/Online LearningRegistration & FusionMiscellaneous Learning	Conferences	Link · Link
2018	Segmentation based data augmentation in deep networks for magnification invariant breast cancer detection P. Jonnalagedda, D. Schmolze and B. Bhanu, “Segmentation based data augmentation in deep networks for magnification invariant breast cancer detection,” 19th UC Systemwide Bioengineering Symposium, University of California at Riverside, June 21-23, 2018. Video BioinformaticsPlant & Cancer CellsDeep/Online LearningObject RecognitionSegmentation	Conferences	Manual link
2018	Soccer: Who has the ball? Generating visual analytics and player statistics R. Theagarajan, F. Pala, X. Zhang and B. Bhanu, “Soccer: Who has the ball? Generating visual analytics and player statistics,” 4th International Workshop on Computer Vision in Sports (CVsports) in conjunction with CVPR 2018, Salt Lake City, UT, June 22, 2018. Object Recognition	Conferences	Link · Link
2017	Attributes co-occurrence pattern mining for video-based person re-identification X. Zhang, F. Pala and B. Bhanu, “Attributes co-occurrence pattern mining for video-based person re-identification,” 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, August 29 – Sept. 1, 2017, Lecce, Italy. BiometricsVideo Networks/AnalysisTracking/Re-IdentificationObject Recognition	Conferences	Link · Link
2017	EDeN: Ensemble of deep networks for vehicle classification R. Theagarajan, F. Pala and B. Bhanu, “EDeN: Ensemble of deep networks for vehicle classification,” Traffic Surveillance Workshop and Challenge (TSWC-2017) held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, July 21, 2017, Honolulu, HI. Machine LearningDeep/Online LearningObject RecognitionTargets/Objects	Conferences	Link · Link
2017	Iris liveness detection by relative distance comparisons F. Pala and B. Bhanu, “Iris liveness detection by relative distance comparisons,” IEEE Workshop on Biometrics held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, July 21, 2017, Honolulu, HI. BiometricsFace/IrisSecurity and BiometricsObject Recognition	Conferences	Link · Link
2017	Novel representation for driver emotion recognition in motor vehicle videos R. Theagarajan, B. Bhanu, A. Cruz, B. Le, A. Tambo, “Novel representation for driver emotion recognition in motor vehicle videos,” International Conference on Image Processing, September 17-20, 2017, Beijing, China. Expressions/EmotionsVideo Networks/AnalysisObject RecognitionTargets/ObjectsNavigation/Motion/Robotics	Conferences	Link · Link
2017	On the accuracy and robustness of deep triplet embedding for fingerprint liveness detection F. Pala and B. Bhanu, “On the accuracy and robustness of deep triplet embedding for fingerprint liveness detection,” International Conference on Image Processing, September 17-20, 2017, Beijing, China. BiometricsFingerprintSecurity and BiometricsDeep/Online LearningObject Recognition	Conferences	Link · Link
2016	'Selective experience replay in reinforcement learning for re-identification N. Thakoor and B. Bhanu, “'Selective experience replay in reinforcement learning for re-identification,” IEEE International Conference on Image Processing, Phoenix, AZ, September 25-28, 2016. Tracking/Re-IdentificationMachine LearningReinforcement LearningMiscellaneous Learning	Conferences	Legacy link
2016	Estimation of Vehicle Ground Clearance from Rear View Video R. Theagarajan, N. Thakoor and B. Bhanu, “Estimation of Vehicle Ground Clearance from Rear View Video,” UCConnect Student Conference, Riverside, CA, Feb. 11-13, 2016 (Poster Paper, Partially Refereed). Video Networks/AnalysisObject RecognitionTargets/ObjectsPrediction	Conferences	Manual link
2016	Latent fingerprint image segmentation using fractal dimension features and weighted extreme learning machine ensemble J. Ezeobiejesi and B. Bhanu, “Latent fingerprint image segmentation using fractal dimension features and weighted extreme learning machine ensemble,” IEEE Conference on Computer Vision and Pattern Recognition Workshop on Biometrics, Las Vegas, NV, June 26, 2016. BiometricsFingerprintMachine LearningSegmentationMiscellaneous Learning	Conferences	Link · Link
2016	Robust visual rear ground clearance estimation and classification of a passenger vehicle R. Theagarajan, N.S. Thakoor and B. Bhanu, “Robust visual rear ground clearance estimation and classification of a passenger vehicle,” 19th International Conference on Intelligent Transportation Systems, Rio de Janeiro, Brazil, November 1-4, 2016. Machine LearningObject RecognitionTargets/ObjectsPrediction	Conferences	Link · Link
2016	Spatio-temporal pattern recognition of dendritic spines and protein dynamics using live multichannel fluorescence microscopy V. On, A. Zahedi, I. Ethell and B. Bhanu, “Spatio-temporal pattern recognition of dendritic spines and protein dynamics using live multichannel fluorescence microscopy,” International Conference on Pattern Recognition, Cancun, Mexico, Dec. 4-8, 2016. Object Recognition	Conferences	Link · Link
2016	Temporal dynamics of tip fluorescence predict cell growth behavior in pollen tubes A. Tambo and B. Bhanu, “Temporal dynamics of tip fluorescence predict cell growth behavior in pollen tubes,” International Conference on Pattern Recognition, Cancun, Mexico, Dec. 4-8, 2016. Video BioinformaticsPlant & Cancer CellsSegmentationPrediction	Conferences	Link · Link
2015	A reference-based framework for pose invariant face recognition M. Kafai, L. An, K. Eshaghi and B. Bhanu, “A reference-based framework for pose invariant face recognition,” International Workshop on Biometrics in the Wild held in conjunction with 11th IEEE International Conference on Automatic Face and Gesture Recognition, May 4-8, 2015, Ljubljana, Slovenia. BiometricsFace/IrisObject Recognition	Conferences	Link · Link
2015	Dynamic Bi-modal fusion of images for segmentation of pollen tubes in video A.L. Tambo and B. Bhanu, “Dynamic Bi-modal fusion of images for segmentation of pollen tubes in video,” IEEE International Conference on Image Processing, September 27-30, 2015, Quebec, Canada. Video BioinformaticsPlant & Cancer CellsVideo Networks/AnalysisSegmentationRegistration & Fusion	Conferences	Link · Link
2015	Grouping model for people tracking in surveillance camera X. Chen and B. Bhanu, “Grouping model for people tracking in surveillance camera,” Workshop on Forensic Applications of Computer Vision (FACV),” in conjunction with International Conference on Computer Vision (ICCV), Santiago, Chile, Dec.11-18, 2015. Video Networks/AnalysisTracking/Re-Identification	Conferences	Legacy link
2015	Semantic concept co-occurrence patterns for image annotation and retrieval L. Feng and B. Bhanu, “Semantic concept co-occurrence patterns for image annotation and retrieval,” 3rd Workshop on Web-scale Vision and Social Media (VSM),” in conjunction with International Conference on Computer Vision (ICCV), Santiago, Chile, Dec.11-18, 2015. Image/Video Database and LearningRetrievalSemantics, Retrieval, VQAObject Recognition	Conferences	Link · Link
2015	To Skip or not to skip? A Dataset of spontaneous affective response of online advertising (SARA) for audience behavior analysis S. Yang, L. An, M. Kafai and B. Bhanu, “To Skip or not to skip? A Dataset of spontaneous affective response of online advertising (SARA) for audience behavior analysis,” 11th IEEE International Conference on Automatic Face and Gesture Recognition, May 4-8, 2015, Ljubljana, Slovenia. Expressions/EmotionsTargets/Objects	Conferences	Link · Link
2015	Tracking people by evolving social groups: An approach with social network perspective L. Feng and B. Bhanu, “Tracking people by evolving social groups: An approach with social network perspective,” IEEE Winter Applications Computer Vision (WACV) Conference, January 6-8, 2015, Big Island, HI. Video Networks/AnalysisTracking/Re-Identification	Conferences	Link · Link
2014	An online learned elementary grouping model for multi-target tracking X. Chen, L. An, Q. Zhen and B. Bhanu, “An online learned elementary grouping model for multi-target tracking,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, OH, 2014. Video Networks/AnalysisTracking/Re-IdentificationDeep/Online LearningObject RecognitionTargets/Objects	Conferences	Link · Link
2014	Comparison of texture features for human embryonic stem cells with bio-inspired multi-class support vector machine B.X. Guan, B. Bhanu, P. Talbot, S. Lin and N. Weng, “Comparison of texture features for human embryonic stem cells with bio-inspired multi-class support vector machine,” IEEE International Conference on Image Processing, Paris, France, Oct. 27-30, 2014. Video BioinformaticsStem CellsMachine Learning	Conferences	Link · Link
2014	Distributed multi-robot search in the real-world using modified particle swarm optimization A. Darvishzadeh and B. Bhanu, “Distributed multi-robot search in the real-world using modified particle swarm optimization,” ACM Genetic and Evolutionary Computation Conference, July 12-16, 2014. Swarm LearningNavigation/Motion/RoboticsMiscellaneous Learning	Conferences	Link · Link
2014	Integrated Model for Understanding Pollen Tube Growth in Video A.L. Tambo, B. Bhanu, N. Luo, G. Harlow, Z. Yang, “Integrated Model for Understanding Pollen Tube Growth in Video,” 22nd International Conference on Pattern Recognition, Stockholm, Sweden, August 24-28, 2014. IBM Best Student Paper Award of the Conference, Biomedical Image Analysis Track. Video BioinformaticsPlant & Cancer CellsVideo Networks/AnalysisSegmentationRegistration & Fusion	Conferences	Link · Link
2014	Make and model recognition for passenger vehicles N. Thakoor and B. Bhanu, “Make and model recognition for passenger vehicles,” IEEE International Conference on Image Processing, Paris, France, Oct. 27-30, 2014. This paper was rated in the top 10% of the accepted papers for the conference. Object RecognitionTargets/Objects	Conferences	Legacy link
2014	Multi-camera pedestrian tracking using group structure Z. Jin and B. Bhanu, “Multi-camera pedestrian tracking using group structure,” 8th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Venezia, Italy, Nov. 4-7, 2014. Video Networks/AnalysisTracking/Re-IdentificationObject Recognition	Conferences	Link · Link
2014	One shot emotion scores for facial emotion recognition A.C. Cruz, B. Bhanu and N.S. Thakoor, “One shot emotion scores for facial emotion recognition,” IEEE International Conference on Image Processing, Paris, France, Oct. 27-30, 2014. Face/IrisExpressions/EmotionsObject RecognitionNavigation/Motion/Robotics	Conferences	Link · Link
2014	Soft Biometrics Integrated Multi-target Tracking X. Chen and B. Bhanu, “Soft Biometrics Integrated Multi-target Tracking,” 22nd International Conference on Pattern Recognition, Stockholm, Sweden, August 24-28, 2014. BiometricsVideo Networks/AnalysisTracking/Re-IdentificationObject RecognitionTargets/ObjectsRegistration & Fusion	Conferences	Link · Link
2013	A new multi-scale fuzzy model for histogram-based descriptors L. Chai, Z. Qin, H. Zhang, J. Guo, B. Bhanu, “A new multi-scale fuzzy model for histogram-based descriptors,” Workshop on Broadcast and User-Generated Content Recognition and Analysis (BRUREC) in conjunction with IEEE International Conference on Multimedia and Expo (ICME 2013), San Jose, CA, USA from July 15-19, 2013. Object Recognition	Conferences	Link · Link
2013	Automated identification and retrieval of moth images with semantically related visual attributes on the wings L. Feng and B. Bhanu, “Automated identification and retrieval of moth images with semantically related visual attributes on the wings,” International Conference on Image Processing, Melbourne, Australia, Sept. 15-18, 2013. SpeciesRetrievalSemantics, Retrieval, VQA	Conferences	Link · Link
2013	Automated spatial analysis of ARK2: Putative link between ROP signaling and microtubules G. Harlow, A. Cruz, L. Shuo, N. Thakoor, A. Bianchi, J. Chen, B. Bhanu, Z. Yang, “Automated spatial analysis of ARK2: Putative link between ROP signaling and microtubules,” International Symposium on Biomedical Imaging (ISBI 2013), April 7-11, 2013, San Francisco, CA. Plant & Cancer Cells	Conferences	Link · Link
2013	Automatic cell region detection by K means with weighted entropy B. X. Guan, B. Bhanu, N. Thakoor, P. Talbot, S. Lin, “Automatic cell region detection by K means with weighted entropy,” International Symposium on Biomedical Imaging (ISBI 2013), April 7-11, 2013, San Francisco, CA. Object RecognitionSegmentation	Conferences	Link · Link
2013	Context-aware reinforcement learning for re-identification in a video network N. Thakoor and B. Bhanu, “Context-aware reinforcement learning for re-identification in a video network,” 7th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Palm Springs, CA, Oct. 29-Nov. 1, 2013. Video Networks/AnalysisTracking/Re-IdentificationMachine LearningReinforcement LearningContextMiscellaneous Learning	Conferences	Link · Link
2013	Detecting mild traumatic brain injury using dynamic low level context A. Bianchi, B. Bhanu, V. Donovan and A. Obenaus, “Detecting mild traumatic brain injury using dynamic low level context,” International Conference on Image Processing, Melbourne, Australia, Sept. 15-18, 2013. Video BioinformaticsBrainContext	Conferences	Link · Link
2013	Efficient smile detection by extreme learning machine L. An, S. Yang and B. Bhanu, “Efficient smile detection by extreme learning machine,” The 4th International Conference on Extreme Learning Machine Conference, Beijing, China, Oct. 15-17, 2013. Expressions/EmotionsMachine LearningObject RecognitionMiscellaneous Learning	Conferences	Link · Link
2013	Facial emotion recognition with anisotropic inhibited Gabor energy histograms A. Cruz, B. Bhanu and N.S. Thakoor, “Facial emotion recognition with anisotropic inhibited Gabor energy histograms,” International Conference on Image Processing, Melbourne, Australia, Sept. 15-18, 2013. Face/IrisExpressions/EmotionsObject RecognitionNavigation/Motion/Robotics	Conferences	Link · Link
2013	Improving action units recognition using dense flow-based face registration in video S. Yang, L. An, N. Thakoor and B. Bhanu, “Improving action units recognition using dense flow-based face registration in video,” 10th IEEE International Conference on Automatic Face and Gesture Recognition, April 22-26, 2013, Shanghai, China. Face/IrisExpressions/EmotionsVideo Networks/AnalysisObject RecognitionRegistration & Fusion	Conferences	Link · Link
2013	Improving large scale image retrieval using multi-level features X. Chen, L. An and B. Bhanu, “Improving large scale image retrieval using multi-level features,” International Conference on Image Processing, Melbourne, Australia, Sept. 15-18, 2013. Image/Video Database and LearningRetrieval	Conferences	Link · Link
2013	Improving person re-identification by soft biometrics based re-ranking L. An, X. Chen, M. Kafai, S. Yang and B. Bhanu, “Improving person re-identification by soft biometrics based re-ranking,” 7th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Palm Springs, CA, Oct. 29-Nov. 1, 2013. BiometricsTracking/Re-Identification	Conferences	Link · Link
2013	MFSC: A new shape descriptor with robustness to deformations L. Chai, Z. Qin, H. Zhang, J. Guo, B. Bhanu, “MFSC: A new shape descriptor with robustness to deformations,” IEEE International Conference on Multimedia and Expo (ICME 2013), San Jose, CA, USA from July 15-19, 2013. Object Recognition	Conferences	Link · Link
2013	Optimizing crowd simulation based on real video data Z. Jin ad B. Bhanu, “Optimizing crowd simulation based on real video data,” International Conference on Image Processing, Melbourne, Australia, Sept. 15-18, 2013. Video Networks/Analysis	Conferences	Link · Link
2013	Pillars of Plant Cell Polarity: 3-D Automated Microtubule Ordering and Asymmetric Cell Pattern Analysis G.J. Harlow, A. C. Cruz, S. Li, B. Bhanu and Z. Yang, “Pillars of Plant Cell Polarity: 3-D Automated Microtubule Ordering and Asymmetric Cell Pattern Analysis,” NSF IGERT Poster/Video Competition, Washington, DC, May 21-24, 2013. https://igert2013.videohall.com/presentations/370.html. Won the $2000 Community Award from NSF. Video BioinformaticsPlant & Cancer CellsObject Recognition3D	Conferences	Poster page
2013	Reference-Based Person Re-Identification L. An, M. Kafai, S. Yang and B. Bhanu, “Reference-Based Person Re-Identification,” 10th IEEE International Conference on Advanced Video and Signal-based Surveillance, Krakow, Poland, August 27-30, 2013. Acceptance rate 17.7%. Best paper Award of the Conference. BiometricsTracking/Re-Identification	Conferences	Link · Link
2013	Representative reference-set and betweenness centrality for scene image categorization Q. Li, Z. Qin, L. Chai, H. Zhang, J. Guo and B. Bhanu, “Representative reference-set and betweenness centrality for scene image categorization,” International Conference on Image Processing, Melbourne, Australia, Sept. 15-18, 2013. Object Recognition	Conferences	Link · Link
2013	Soft-biometrics and reference set integrated model for tracking across cameras X. Chen, L. An and B. Bhanu, “Soft-biometrics and reference set integrated model for tracking across cameras,” 7th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Palm Springs, CA, Oct. 29-Nov. 1, 2013. BiometricsVideo Networks/AnalysisTracking/Re-IdentificationRegistration & Fusion	Conferences	Link · Link
2012	A biologically inspired approach for fusing facial expression and appearance for emotion recognition A. Cruz and B. Bhanu, “A biologically inspired approach for fusing facial expression and appearance for emotion recognition,” International Conference on Image Processing, Orlando, FL, Sept. 30-Oct. 3, 2012. Face/IrisExpressions/EmotionsObject RecognitionNavigation/Motion/Robotics	Conferences	Link · Link
2012	Automatic human embryonic stem cell detection X. Guan, B. Bhanu, P. Talbot and S. Lin, “Automatic human embryonic stem cell detection,” 2nd Annual IEEE Healthcare Informatics, Imaging, and Systems Biology Conference, San Diego, September 27 - 28, 2012. Won the Best paper Award of the Conference. Video BioinformaticsStem CellsObject Recognition	Conferences	Link · Link
2012	Boosting face recognition in real-world surveillance videos L. An, B. Bhanu and S. Yang, “Boosting face recognition in real-world surveillance videos,” 9th IEEE International Conference on Advanced Video and Signal-based Surveillance, Beijing, China, 18-21 September 2012. BiometricsFace/IrisVideo Networks/AnalysisObject Recognition	Conferences	Link · Link
2012	Camera pan/tilt control with multiple trackers Y. Li and B. Bhanu, “Camera pan/tilt control with multiple trackers” 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Sensing and Control	International Conference on Pattern Recognition	Link
2012	Cluster-classification Bayesian networks for head pose estimation M. Kafai, B. Bhanu and L. An, “Cluster-classification Bayesian networks for head pose estimation,” 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Face/IrisMachine LearningBayesian LearningObject RecognitionPrediction	International Conference on Pattern Recognition	Link
2012	Codebook optimization using word activation forces for scene categorization Q. Li, H. Zhang, J. Guo, L. An and B. Bhanu, “Codebook optimization using word activation forces for scene categorization,” International Conference on Image Processing, Orlando, FL, Sept. 30-Oct. 3, 2012. Object RecognitionMiscellaneous Learning	Conferences	Link · Link
2012	Computational analysis of injured tissue following repetitive mild traumatic brain injury V. Donovan, A. Bianchi, R. Hartman, B. Bhanu, M. Carson, and A. Obenaus, “Computational analysis of injured tissue following repetitive mild traumatic brain injury,” 30th Annual National Neurotrauma Symposium, A159-160, Phoenix, Arizona, July 22–25, 2012. Video BioinformaticsBrain	Conferences	Legacy link
2012	Contextual and visual modeling for detection of mild traumatic brain injury in MRI A. Bianchi, B. Bhanu, V. Donovan and A. Obenaus, “Contextual and visual modeling for detection of mild traumatic brain injury in MRI,” International Conference on Image Processing, Orlando, FL, Sept. 30-Oct. 3, 2012. Video BioinformaticsBrainObject RecognitionContext	Conferences	Link · Link
2012	Detection of non-dynamic blebbing single unattached human embryonic stem cell X. Guan, B. Bhanu, P. Talbot and S. Lin, “Detection of non-dynamic blebbing single unattached human embryonic stem cell,” International Conference on Image Processing, Orlando, FL, Sept. 30-Oct. 3, 2012. Video BioinformaticsStem CellsObject Recognition	Conferences	Link · Link
2012	Face recognition in multi-camera surveillance videos L. An, B. Bhanu and S. Yang, “Face recognition in multi-camera surveillance videos,” 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. BiometricsFace/IrisVideo Networks/AnalysisObject Recognition	International Conference on Pattern Recognition	Link
2012	Face recognition in multi-camera surveillance videos using dynamic Bayesian network L. An, M. Kafai and B. Bhanu, “Face recognition in multi-camera surveillance videos using dynamic Bayesian network,” 6th ACM/IEEE International Conference on Distributed Smart Cameras, Hong Kong, China, Oct 30 - Nov 2, 2012. BiometricsFace/IrisVideo Networks/AnalysisBayesian LearningObject Recognition	ACM/IEEE International Conference on Distributed Smart Cameras	Link
2012	Facial emotion recognition in continuous video A. Cruz, B. Bhanu and N. Thakoor, Facial emotion recognition in continuous video,” 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Face/IrisExpressions/EmotionsVideo Networks/AnalysisObject RecognitionNavigation/Motion/Robotics	International Conference on Pattern Recognition	Link
2012	Facial emotion recognition with expression energy A. Cruz, B. Bhanu and N. Thakoor, “Facial emotion recognition with expression energy,” 2nd International Audio/Visual Emotion Challenge (AVEC) and Workshop facing continuous emotion representation in conjunction with 14th ACM International Conference on Multimodal Interaction (ICMI 2012), Santa Monica, CA, October 22-26, 2012. Face/IrisExpressions/EmotionsObject RecognitionNavigation/Motion/Robotics	Conferences	Link · Link
2012	Image super-resolution by extreme learning machine L. An and B. Bhanu, “Image super-resolution by extreme learning machine,” International Conference on Image Processing, Orlando, FL, Sept. 30-Oct. 3, 2012. Super-ResolutionMachine LearningMiscellaneous Learning	Conferences	Link · Link
2012	Integrated personalized video summarization and retrieval H. Shafeian and B. Bhanu, “Integrated personalized video summarization and retrieval,” 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Video Networks/AnalysisRetrievalRegistration & Fusion	International Conference on Pattern Recognition	Link
2012	Integrating crowd simulation for pedestrian tracking in a multi-camera system Z. Jin and B. Bhanu, “Integrating crowd simulation for pedestrian tracking in a multi-camera system,” 6th ACM/IEEE International Conference on Distributed Smart Cameras, Hong Kong, China, Oct 30 - Nov 2, 2012. Video Networks/AnalysisTracking/Re-IdentificationObject Recognition	ACM/IEEE International Conference on Distributed Smart Cameras	Link
2012	Mild traumatic brain injury detection through visual and contextual modeling A. Bianchi, B. Bhanu, V. Donovan and A. Obenaus, "Mild traumatic brain injury detection through visual and contextual modeling," Traumatic Brain Injury Conference Washington, DC, April 2012. (Poster) Video BioinformaticsBrainObject RecognitionContext	Conferences	Link · Link
2012	Multiple local kernel integrated feature selection for image classification Y. Sun and B. Bhanu, “Multiple local kernel integrated feature selection for image classification,” 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Machine LearningFeature SelectionObject RecognitionRegistration & Fusion	International Conference on Pattern Recognition	Link
2012	Real-Time pedestrian tracking with bacterial foraging optimization H. Nguyen and B. Bhanu, “Real-Time pedestrian tracking with bacterial foraging optimization,” 9th IEEE International Conference on Advanced Video and Signal-based Surveillance, Beijing, China, 18-21 September 2012. Video Networks/AnalysisTracking/Re-IdentificationSwarm LearningObject RecognitionMiscellaneous Learning	Conferences	Link · Link
2012	Recognizing human facial emotions in video: A psychologically-inspired fusion model A. Cruz and B. Bhanu, “Recognizing human facial emotions in video: A psychologically-inspired fusion model,” NSF IGERT Poster and Video Competition, May 22-24, 2012. Won the $2000 Judge’s Award from NSF. http://posterhall.org/igert2012/posters/249 Face/IrisExpressions/EmotionsVideo Networks/AnalysisRegistration & FusionNavigation/Motion/Robotics	Conferences	Legacy link
2012	Removing moving objects from point cloud scenes K. Litomisky and B. Bhanu, “Removing moving objects from point cloud scenes,” International Workshop on Depth Image Analysis held in Conjunction with the 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11, 2012. (Oral) Object RecognitionTargets/Objects3D	Conferences	Link · Link
2012	Semantic–visual concept relatedness and co-occurrences for image retrieval L. Feng and B. Bhanu, “Semantic–visual concept relatedness and co-occurrences for image retrieval,” International Conference on Image Processing, Orlando, FL, Sept. 30-Oct. 3, 2012. Image/Video Database and LearningRetrievalSemantics, Retrieval, VQA	Conferences	Link · Link
2012	Single camera multi-person tracking based on crowd simulation Z. Jin and B. Bhanu, “Single camera multi-person tracking based on crowd simulation,” 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Video Networks/AnalysisTracking/Re-Identification	International Conference on Pattern Recognition	Link
2012	Structural signatures for passenger vehicle classification N. Thakoor and B. Bhanu, “Structural signatures for passenger vehicle classification,” 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Machine LearningObject RecognitionTargets/Objects	Conferences	Link · Link
2012	Utilizing co-occurrence patterns for semantic concept detection in images L. Feng and B. Bhanu, “Utilizing co-occurrence patterns for semantic concept detection in images,” 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Semantics, Retrieval, VQAObject Recognition	International Conference on Pattern Recognition	Link
2012	Vehicle logo super-resolution by canonical correlation analysis L. An, N. Thakoor and B. Bhanu, “Vehicle logo super-resolution by canonical correlation analysis,” International Conference on Image Processing, Orlando, FL, Sept. 30-Oct. 3, 2012. Super-ResolutionObject RecognitionTargets/Objects	Conferences	Link · Link
2012	Zombie survival optimization: A swarm intelligence algorithm inspired by zombie foraging H. Nguyen and B. Bhanu, “Zombie survival optimization: A swarm intelligence algorithm inspired by zombie foraging,” 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Swarm LearningMiscellaneous Learning	International Conference on Pattern Recognition	Link
2011	A psychologically inspired match-score fusion model for video-based facial expression recognition A. Cruz, B. Bhanu and S. Yang, “A psychologically inspired match-score fusion model for video-based facial expression recognition,” First International Audio/Visual Emotion Challenge and Workshop (AVEC 2011) held in conjunction with 4th Affective Computing and Intelligent Interaction (ACII 2011), Memphis, Tennessee, October 9-12, 2011. Face/IrisExpressions/EmotionsVideo Networks/AnalysisObject RecognitionRegistration & Fusion	Conferences	Link · Link
2011	Automatic human embryonic stem cell detection by spatial information and mixture of Gaussians B. X. Guan, B. Bhanu, N. Thakoor, P. Talbot and S. Lin, “Automatic human embryonic stem cell detection by spatial information and mixture of Gaussians,” World Stem Cell Summit, Oct. 3-5, 2011, Pasadena, CA Video BioinformaticsStem CellsBayesian LearningObject Recognition	Conferences	Link · Link
2011	Concept learning with co-occurrence network for image retrieval L. Feng and B. Bhanu, “Concept learning with co-occurrence network for image retrieval,” Seventh IEEE International Workshop on Multimedia Information Processing and Retrieval, Dana Point, CA, Dec. 5-7, 2011. Image/Video Database and LearningRetrievalMachine LearningConcept/Active LearningMiscellaneous Learning	Conferences	Link · Link
2011	Face Recognition in Video with Closed-Loop Super-resolution J. Yu, B. Bhanu and N. Thakoor, “Face Recognition in Video with Closed-Loop Super-resolution,” IEEE Computer Society Workshop on Biometrics, June 20, 2011, held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, Colorado Springs, CA, pp. 41-47, June 20-25, 2011. BiometricsFace/IrisVideo Networks/AnalysisSuper-ResolutionReinforcement LearningObject Recognition	Conferences	Link · Link
2011	Facial expression recognition using emotion avatar image S. Yang and B. Bhanu, “Facial expression recognition using emotion avatar image,” Workshop on Facial Expression Recognition and Analysis Challenge, in conjunction with 9th IEEE Int. Conference Automatic Face and Gesture Recognition, Santa Barbara, March 21-25, 2011. Winner of the International Competition on Facial Expression Recognition. Face/IrisExpressions/EmotionsObject RecognitionNavigation/Motion/Robotics	Conferences	Link · Link
2011	Fusion of multiple trackers in video networks Y. Li and B. Bhanu, “Fusion of multiple trackers in video networks,” 5th IEEE/ACM International Conference on Distributed Smart Cameras, Ghent, Belgium, August 22-25, 2011. Video Networks/AnalysisRegistration & Fusion	Conferences	Link · Link
2011	Human embryonic stem cell detection by spatial information and mixture of Gaussians B. Guan, B. Bhanu, N. Thakoor, P. Talbot and S. Lin, “Human embryonic stem cell detection by spatial information and mixture of Gaussians,” IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology, San Jose, CA, July 27-29, 2011. Video BioinformaticsStem CellsBayesian LearningObject Recognition	Conferences	Link · Link
2011	Improved Image Super-Resolution by Support Vector Regression L. An and B. Bhanu, “Improved Image Super-Resolution by Support Vector Regression,” International Joint Conference on Neural Networks, San Jose, California, July 31 - August 5, 2011. Super-ResolutionMachine Learning	Conferences	Link · Link
2011	Prediction and validation of indexing performance for biometrics S. Kumar, B. Bhanu, S. Ghosh and N. Thakoor, “Prediction and validation of indexing performance for biometrics,” International Joint Conference on Biometrics, Arlington, VA, October 11-13, 2011. BiometricsRetrievalPrediction	Conferences	Link · Link
2011	Tracking Pedestrians with Bacterial Foraging Optimization Swarms H. T. Nguyen and B. Bhanu, “Tracking Pedestrians with Bacterial Foraging Optimization Swarms,” IEEE Congress on Evolutionary Computation, New Orleans, June 5-8, 2011. Video Networks/AnalysisTracking/Re-IdentificationSwarm LearningObject RecognitionMiscellaneous Learning	Conferences	Link · Link
2011	Video bioinformatics tracking of calcification in osteogenic cultures derived from human pluripotent stem cells I.K.C. Martinez, C. Soto, B. Kuske, B. Bhanu, N. I. zur Nieden, “Video bioinformatics tracking of calcification in osteogenic cultures derived from human pluripotent stem cells,” 12th Annual UC Systemwide Bioengineering Symposium, Santa Barbara, CA, June 13-15, 2011. Video BioinformaticsStem CellsVideo Networks/AnalysisTracking/Re-Identification	Conferences	Manual link
2010	3D filtering for injury detection in brain MRI Y. Sun and B. Bhanu, “3D filtering for injury detection in brain MRI,” International Conference on Pattern Recognition, pp. 1-4, Istanbul, Turkey, August 23-26, 2010. Video BioinformaticsBrainObject Recognition3D	Conferences	Link · Link
2010	3D Human Body Modeling Using Range Data K. Yamauchi, B. Bhanu and H. Saito, “3D Human Body Modeling Using Range Data,” International Conference on Pattern Recognition, pp. 1-4, Istanbul, Turkey, August 23-26, 2010. Navigation/Motion/Robotics3D	Conferences	Link · Link
2010	Age classification based on gait using HMM D. Zhang, Y. Wang and B. Bhanu, “Age classification based on gait using HMM,” International Conference on Pattern Recognition, pp. 1-4, Istanbul, Turkey, August 23-26, 2010. BiometricsGaitMachine LearningBayesian LearningObject Recognition	Conferences	Link · Link
2010	Auction protocol for camera active control Y. Li and B. Bhanu and Wei Lin, Auction protocol for camera active control,” IEEE International Conference on Image Processing, Hong Kong, China, September 26-29, 2010. Sensing and Control	Conferences	Link · Link
2010	Error model for scene reconstruction from motion and stereo S. Yang, B. Bhanu and A.I. Mourikis, “Error model for scene reconstruction from motion and stereo,” IEEE Workshop on Three-dimensional Information Extraction for Video Analysis and Mining, June 14, 2010, held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, June 13-18, 2010. Object RecognitionNavigation/Motion/Robotics	Conferences	Link · Link
2010	Ethnicity classification based on gait using multi-view fusion D. Zhang, Y. Wang and B. Bhanu, “Ethnicity classification based on gait using multi-view fusion,” IEEE Computer Society Workshop on Biometrics, August 18, 2010, held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, June 13-18, 2010. BiometricsGaitMachine LearningObject RecognitionRegistration & Fusion	Conferences	Link · Link
2010	Image retrieval of highly similar objects A. Bianchi, B. Bhanu and Y. Sun, “Image retrieval of highly similar objects,” ICPR Workshop on Analysis and Evaluation of Large Scale Multimedia Collection, August 22, 2010, held in conjunction with International Conference on Pattern Recognition, Istanbul, Turkey, August 23-26, 2010. Image/Video Database and LearningRetrievalObject RecognitionTargets/Objects	Conferences	Legacy link
2010	Image retrieval with feature selection and relevance feedback Y. Sun and B. Bhanu, “Image retrieval with feature selection and relevance feedback,” IEEE International Conference on Image Processing, Hong Kong, China, September 26-29, 2010. Image/Video Database and LearningRetrievalRelevance FeedbackFeature Selection	Conferences	Link · Link
2010	Large-Scale Automated Identification and Quality Control of Exfoliated and CVD Graphene via Image Processing Technique C. Nolen, D. Teweldebrhan, G. Denina, B. Bhanu, and A. Balandin, “Large-Scale Automated Identification and Quality Control of Exfoliated and CVD Graphene via Image Processing Technique,” ECS Transactions - Las Vegas, NV" Volume 33, "State-of-the-Art Program on Compound Semiconductors 52 (SOTAPOCS 52), 218th Electrochemical Society (ECS) Meeting, October 10 - 15, 2010. Sensing and ControlInspection	Conferences	Link · Link
2010	On the performance of handoff and tracking in a camera network Y. Li, B. Bhanu and V. Nguyen, “On the performance of handoff and tracking in a camera network,” International Conference on Pattern Recognition, pp. 1-4, Istanbul, Turkey, August 23-26, 2010. Video Networks/AnalysisTracking/Re-Identification	Conferences	Link · Link
2009	A comparison of techniques for camera selection and handoff in a video network Y. Li and B. Bhanu, “A comparison of techniques for camera selection and handoff in a video network,” Third ACM/IEEE International Conference on Distributed Smart Cameras, Como, Italy, 30 August - 2 September, 2009. Video Networks/AnalysisTracking/Re-Identification	Conferences	Link · Link
2009	Automatic symmetry-integrated brain injury detection in MRI sequences Y. Sun, B. Bhanu and S. Bhanu, “Automatic symmetry-integrated brain injury detection in MRI sequences,” IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis, June 20, 2009, held in conjunction with IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, June 20-25, 2009. Video BioinformaticsBrainObject RecognitionRegistration & Fusion	Conferences	Link · Link
2009	Continuously evolvable Bayesian nets for human action analysis in videos N. Ghosh, B. Bhanu, and G. Denina, “Continuously evolvable Bayesian nets for human action analysis in videos,” Third ACM/IEEE International Conference on Distributed Smart Cameras, Como, Italy, 30 August - 2 September, 2009. Video Networks/AnalysisBayesian LearningEvolutionary Learning	Conferences	Link · Link
2009	Human recognition in a video network B. Bhanu, ''Human recognition in a video network,'' SPIE Conference on Multispectral Image Processing and Pattern Recognition, pp. 1-6, October 30-November 1, 2009, (Invited). BiometricsVideo Networks/AnalysisObject Recognition	Conferences	Link · Link
2009	Multi-object tracking in non-stationary video using bacterial foraging swarms H. Nguyen and B. Bhanu, “Multi-object tracking in non-stationary video using bacterial foraging swarms,” IEEE International Conference on Image Processing, Cairo, Egypt, November 7-11, 2009. Video Networks/AnalysisTracking/Re-IdentificationSwarm LearningObject RecognitionTargets/Objects	Conferences	Link · Link
2009	Recognition of walking humans in 3D: Initial results K. Yamauchi, B. Bhanu and H. Saito, “Recognition of walking humans in 3D: Initial results,” IEEE Computer Society Workshop on Biometrics, held in conjunction with IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, June 20-25, 2009. The paper received the Best Student Paper Award. GaitObject Recognition3D	Conferences	Link · Link
2009	Symmetry integrated region-based image segmentation Y. Sun and B. Bhanu, “Symmetry integrated region-based image segmentation,” IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, June 20-25, 2009. SegmentationRegistration & Fusion	Conferences	Link · Link
2009	Symmetry-integrated injury detection for brain MRI Y. Sun, B. Bhanu and S. Bhanu, “Symmetry-integrated injury detection for brain MRI,” IEEE International Conference on Image Processing, Cairo, Egypt, November 7-11, 2009. Video BioinformaticsBrainObject RecognitionRegistration & Fusion	Conferences	Link · Link
2009	Task-oriented camera assignment in a video network Y. Li and B. Bhanu, “Task-oriented camera assignment in a video network,” IEEE International Conference on Image Processing, Cairo, Egypt, November 7-11, 2009. Video Networks/Analysis	Conferences	Link · Link
2009	Tracking multiple objects in non-stationary video H. Nguyen and B. Bhanu, “Tracking multiple objects in non-stationary video,” 18th ACM Genetic and Evolutionary Computation Conference, Montreal, Canada, July 8-12, 2009. The paper is nominated for the Best Paper Award. Video Networks/AnalysisTracking/Re-IdentificationObject RecognitionTargets/Objects	Conferences	Link · Link
2009	Video Web: Design of a wireless camera network for real-time monitoring of activities H. Nguyen, B. Bhanu, A. Patel, and R. Diaz, “Video Web: Design of a wireless camera network for real-time monitoring of activities,” Third ACM/IEEE International Conference on Distributed Smart Cameras, Como, Italy, 30 August - 2 September, 2009. Video Networks/AnalysisVideoWeb Lab	Conferences	Link · Link
2008	Anomalous activity classification in the distributed camera network X. Zou and B. Bhanu, “Anomalous activity classification in the distributed camera network,” IEEE International Conference on Image Processing, San Diego, CA, October 12-15, 2008. Video Networks/AnalysisMachine LearningObject Recognition	Conferences	Link · Link
2008	Bayesian-based 3D shape reconstruction from video N. Ghosh and B. Bhanu, “Bayesian-based 3D shape reconstruction from video,” IEEE International Conference on Image Processing, San Diego, CA, October 12-15, 2008. Video Networks/AnalysisBayesian Learning3D	Conferences	Link · Link
2008	Evaluating the quality of super-resolved images for face recognition X. Zhou and B. Bhanu, “Evaluating quality of super-resolved face images from video,” IEEE Workshop on Biometrics held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, June 23-28, 2008. Face/IrisVideo Networks/AnalysisSuper-Resolution	IEEE Conference on Computer Vision and Pattern Recognition Workshops	Link
2008	How DBN/EBN fail to represent evolvable pattern recognition problems and a proposed solution N. Ghosh and B. Bhanu, “How DBN/EBN fail to represent evolvable pattern recognition problems and a proposed solution,” International Conference on Pattern Recognition, Tampa, FL, December 8-11, 2008. Bayesian LearningEvolutionary LearningObject Recognition	Conferences	Link · Link
2008	Semi-automated segmentation of ADC maps reliably defines ischemic perinatal stroke injury S. Ashwal, J.S. Coats, A. Bianchi, B. Bhanu and A. Obenaus, “Semi-automated segmentation of ADC maps reliably defines ischemic perinatal stroke injury,” Sixth Hershey Conference on Developmental Brain Injury. June 4-7, 2008, Ecquevilly, France. Video BioinformaticsBrainSegmentation	Conferences	Legacy link
2008	Semi-automatic segmentation of neonatal stroke lesions on ADC maps: A multidisciplinary approach J.S. Coats, B. Bhanu, S. Ashwal, A. Obenaus, “Semi-automatic segmentation of neonatal stroke lesions on ADC maps: A multidisciplinary approach,” The European Winter Conference on Brain Research, Arcueil, France, March 8-15, 2008 Video BioinformaticsBrainSegmentation	Conferences	Legacy link
2008	Spatiotemporal dynamics of the growth of pollen tubes using GFP-tagged videos A. Cruz, B. Bhanu and Z. Yang, ''Spatiotemporal dynamics of the growth of pollen tubes using GFP-tagged videos,'' Workshop on Bio-image Informatics: Biological Imaging, Computer Vision and Data Mining, University of California at Santa Barbara, January 2008. Video BioinformaticsPlant & Cancer CellsVideo Networks/AnalysisSegmentation	Conferences	Legacy link
2008	Super-resolution of deformed facial images in video J. Yu and B. Bhanu, “Super-resolution of deformed facial images in video,” IEEE International Conference on Image Processing, San Diego, CA, October 12-15, 2008. Face/IrisVideo Networks/AnalysisSuper-Resolution	Conferences	Link · Link
2008	Super-resolution of facial images in video with expression changes J. Yu and B. Bhanu, “Super-resolution of facial images in video with expression changes,” IEEE International Conference on Advanced Video and Signal Based Surveillance, Santa Fe, NM, September 1-3, 2008. Face/IrisVideo Networks/AnalysisSuper-Resolution	Conferences	Link · Link
2008	Utility-based dynamic camera assignment and hand-off in a video network Y. Li and Bhanu, “Utility-based dynamic camera assignment and hand-off in a video network,” 2nd IEEE/ACM International Conference on Distributed Smart Cameras, Stanford University, September 7-11, 2008. (Best Paper Award of the Conference) Video Networks/Analysis	Conferences	Link · Link
2007	Automated classification of butterflies based on parts representation R. Li, B. Bhanu and J. Heraty, “Automated classification of butterflies based on parts representation,” Symposium: From Field to Screen: Digital Imaging Technology in Entomology, in conjunction with the Annual Meeting of Entomological Society of America (ESA), San Diego, CA, December 9-12, 2007. (Invited Presentation) SpeciesMachine LearningObject Recognition	Conferences	Manual link
2007	Determining topology in a distributed camera network X. Zou, B. Bhanu, B. Song and A. Roy Chowdhury, “Determining topology in a distributed camera network,” Proc. International Conference on Image Processing, San Antonio, TX, Sept. 16-19, 2007. Video Networks/Analysis	Conferences	Link · Link
2007	Human recognition at a distance B. Bhanu, ''Human recognition at a distance,'' MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, SPIE Volume: 6786, November 2007, pp. 1-6, 2007. (Invited Keynote Presentation) BiometricsObject Recognition	Conferences	Link · Link
2007	Hybrid coevolutionary algorithms vs. SVM algorithms R. Li, B. Bhanu and K. Krawiec, “Hybrid coevolutionary algorithms vs. SVM algorithms,” Proc. ACM Genetic and Evolutionary Computation Conference, pp. 456-463, London, UK, July 7-11, 2007. Machine LearningEvolutionary Learning	Conferences	Link · Link
2007	Multiclass object recognition based on texture linear genetic programming G. Olague, E. Romero, L. Trujillo and B. Bhanu, “Multiclass object recognition based on texture linear genetic programming. Proc. 9th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science. Springer-Verlag. Nominated for the Best Paper Award, pp. 291-300, 2007. Evolutionary LearningObject RecognitionTargets/Objects	Conferences	Link · Link
2007	On the number of subpopulations in coevolutionary computation: a database application R. Li, B. Bhanu and K. Krawiec, “On the number of subpopulations in coevolutionary computation: a database application,” Proc. ACM Genetic and Evolutionary Computation Conference, pp. 489, London, UK, July 7-11, 2007. Image/Video Database and LearningEvolutionary Learning	Conferences	Link · Link
2007	On the performance prediction for multi-sensor fusion R. Wang and B. Bhanu, “On the performance prediction for multi-sensor fusion,” IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-6, Minneapolis, MN, June 17-22, 2007. PredictionRegistration & FusionSensing and Control	IEEE Conference on Computer Vision and Pattern Recognition	Link
2007	Super-resolved facial texture under changing pose and illumination J. Yu, B. Bhanu, Y. Xu and A. Roy Chowdhury, “Super-resolved facial texture under changing pose and illumination,” Proc. International Conference on Image Processing, San Antonio, TX, Sept. 16-19, 2007. Face/IrisSuper-Resolution	Conferences	Link · Link
2006	A psychological Adaptive model for video analysis N. Ghosh and B. Bhanu, “A psychological Adaptive model for video analysis,” International Conference on Pattern Recognition, Vol. 4, pp. 346-349, Hong Kong, China, Aug. 21-24, 2006. Video Networks/Analysis	Conferences	Link · Link
2006	Feature fusion of face and gait for human recognition at a distance in video X. Zhou and B. Bhanu, “Feature fusion of face and gait for human recognition at a distance in video,” International Conference on Pattern Recognition, Vol. 4, pp. 529-532, Hong Kong, China, Aug. 21-24, 2006. BiometricsFace/IrisGaitVideo Networks/AnalysisObject RecognitionRegistration & Fusion	Conferences	Link · Link
2006	Global to local non-rigid shape registration H. Chen and B. Bhanu, “Global to local non-rigid shape registration,” International Conference on Pattern Recognition, Vol. 4, pp. 57-60, Hong Kong, China, Aug. 21-24, 2006. Registration & Fusion	Conferences	Link · Link
2006	Human activity classification based on gait energy image and coevolutionary genetic programming X. Zou and B. Bhanu, “Human activity classification based on gait energy image and coevolutionary genetic programming,” International Conference on Pattern Recognition, Vol. 3, pp. 556-569, Hong Kong, China, Aug. 21-24, 2006. BiometricsGaitMachine LearningEvolutionary LearningObject Recognition	Conferences	Link · Link
2006	Incremental 3-D vehicle modeling from video N. Ghosh and B. Bhanu, “Incremental 3-D vehicle modeling from video,” International Conference on Pattern Recognition, Vol. 3, pp. 272-275, Hong Kong, China, Aug. 21-24, 2006. Video Networks/AnalysisDeep/Online LearningObject RecognitionTargets/Objects3D	Conferences	Link · Link
2006	Integrating face and gait for human recognition X. Zhou and B. Bhanu, “Integrating face and gait for human recognition,” IEEE Workshop on Multimodal Biometrics held in Conjunction with IEEE Conference on Computer Vision and Pattern Recognition, New York City, June 17-18, 2006. BiometricsFace/IrisGaitObject Recognition	Conferences	Link · Link
2006	Performance prediction for multimodal biometrics R. Wang and B. Bhanu, “Performance prediction for multimodal biometrics,” International Conference on Pattern Recognition, Vol. 3, pp. 586-589, Hong Kong, China, Aug. 21-24, 2006. BiometricsPredictionRegistration & Fusion	Conferences	Link · Link
2006	Super-resolution restoration of facial images in video J. Yu and B. Bhanu, “Super-resolution restoration of facial images in video,” International Conference on Pattern Recognition, Vol. 4, pp. 342-345, Hong Kong, China, Aug. 21-24, 2006. Face/IrisVideo Networks/AnalysisSuper-Resolution	Conferences	Link · Link
2005	A study on view-insensitive gait recognition J. Han, B. Bhanu and A. Roy Chowdhury, “A study on view-insensitive gait recognition,” International Conference on Image Processing, Genoa, Italy, September 11-14, 2005. BiometricsGaitObject Recognition	Conferences	Link · Link
2005	An integrated prediction model for biometrics R. Wang, B, Bhanu and H. Chen, “An integrated prediction model for biometrics,” Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 355-364, Rye Brook, NY, July 20-22, 2005. BiometricsPredictionRegistration & Fusion	Conferences	Link · Link
2005	Coevolutionary feature synthesized EM algorithm for image retrieval R. Li, B. Bhanu and A. Dong, “Coevolutionary feature synthesized EM algorithm for image retrieval,” Proc. 13th ACM International Conference on Multimedia, pp. 696-705, Singapore, Nov. 6-11, 2005. Image/Video Database and LearningRetrievalEvolutionary Learning	Conferences	Link · Link
2005	Contour matching for 3-D ear recognition H. Chen and B. Bhanu, “Contour matching for 3-D ear recognition,” Proc. IEEE Workshop on Applications of Computer Vision, pp. 123-128, Breckenridge, Colorado, Jan. 5-7, 2005. BiometricsEarObject RecognitionRegistration & Fusion3D	Conferences	Link · Link
2005	Evolutionary feature synthesis for image databases A. Dong, B. Bhanu and Y. Lin, “Evolutionary feature synthesis for image databases,” Proc. IEEE Workshop on Applications of Computer Vision, pp. 330-335, Breckenridge, Colorado, Jan. 5-7, 2005. Image/Video Database and LearningMachine LearningEvolutionary Learning	Conferences	Link · Link
2005	Gait recognition by combining classifiers based on environmental contexts J. Han and B. Bhanu, “Gait recognition by combining classifiers based on environmental contexts,” Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 416-425, Rye Brook, NY, July 20-22, 2005. BiometricsGaitMachine LearningObject RecognitionContext	Conferences	Link · Link
2005	Hierarchical mutli-sensor image registration using evolutionary computation J. Han and B. Bhanu, “Hierarchical mutli-sensor image registration using evolutionary computation,” Proc. Genetic and Evolutionary Computation Conference, Washington D.C., pp. 2045-2052, June 25-29, 2005. Evolutionary LearningRegistration & FusionSensing and Control	Conferences	Link · Link
2005	Human activity recognition in thermal infrared imagery J. Han and B. Bhanu, “Human activity recognition in thermal infrared imagery,” Proc. IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum, San Diego, CA, June 20, 2005. Object Recognition	Conferences	Link · Link
2005	Human recognition at a distance in video by integrating face profile and gait X. Zhou, B. Bhanu and J. Han, “Human recognition at a distance in video by integrating face profile and gait,” Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 533-543, Rye Brook, NY, July 20-22, 2005. BiometricsFace/IrisGaitVideo Networks/AnalysisObject Recognition	Conferences	Link · Link
2005	Human recognition based on face profiles in video X. Xhou and B. Bhanu, “Human recognition based on face profiles in video,” Proc. IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum, San Diego, CA, June 20, 2005. BiometricsFace/IrisVideo Networks/AnalysisObject Recognition	Conferences	Link · Link
2005	Learning models for predicting recognition performance R. Wang and B. Bhanu, “Learning models for predicting recognition performance,” International Conference on Computer Vision, Beijing, China, pp. 1613-1618, October 17-20, 2005. Machine LearningObject RecognitionPredictionMiscellaneous Learning	Conferences	Link · Link
2005	Performance evaluation and prediction for 3-D ear recognition H. Chen, B. Bhanu and R. Wang, “Performance evaluation and prediction for 3-D ear recognition,” Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 748-759, Rye Brook, NY, July 20-22, 2005. BiometricsEarObject RecognitionPrediction3D	Conferences	Link · Link
2005	Shape model-based 3D ear detection from side face range images H. Chen and B. Bhanu, “Shape model-based 3D ear detection from side face range images,” Proc. IEEE Workshop on Advanced 3D imaging for Safety and Security,” San Diego, CA, June 25, 2005. Face/IrisEarObject RecognitionNavigation/Motion/Robotics3D	Conferences	Link · Link
2005	Tracking Humans using Multi-modal Fusion X. Zou and B. Bhanu, “Tracking humans using multimodal fusion,” Proc. IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum, San Diego, CA, June 20, 2005. Video Networks/AnalysisTracking/Re-IdentificationRegistration & Fusion	Conferences	Link
2005	Unsupervised learning for incremental 3-D modeling N. Ghosh, B. Bhanu, ''Unsupervised learning for incremental 3-D modeling,'' AAAI Workshop on Learning in Computer Vision held in conjunction with 20th AAAI National Conference on Artificial Intelligence, Proc. Working Notes, Pittsburgh, PA, July 2005, 16-20, 2005. Machine LearningDeep/Online Learning3DMiscellaneous Learning	Conferences	Legacy link
2004	3-D free-form object recognition in range images using local surface patches H. Chen and B. Bhanu, “3-D free-form object recognition in range images using local surface patches,” Proc. International Conference on Pattern Recognition, Volume 3, pp. 136-139, Cambridge, UK, August 23-26, 2004. Object RecognitionTargets/ObjectsNavigation/Motion/Robotics3D	Conferences	Link · Link
2004	Adaptive fusion for diurnal moving object detection S. Nadimi and B. Bhanu, “Adaptive fusion for diurnal moving object detection,” Proc. International Conference on Pattern Recognition, Volume 3, pp. 696-699, Cambridge, UK, August 23-26, 2004. Object RecognitionTargets/ObjectsRegistration & Fusion	Conferences	Link · Link
2004	Cooperative coevolution fusion for moving object detection S. Nadimi and B. Bhanu, “Cooperative coevolution fusion for moving object detection,” Proc. Genetic and Evolutionary Computation Conference, pp. 587-589, Seattle, WA, June 26-30, 2004. Evolutionary LearningObject RecognitionTargets/ObjectsRegistration & Fusion	Conferences	Link · Link
2004	Discriminant features for model-based image databases A. Dong and B. Bhanu, “Discriminant features for model-based image databases,” Proc. International Conference on Pattern Recognition, Volume 2, pp. 997-1000, Cambridge, UK, August 23-26, 2004. Image/Video Database and Learning	Conferences	Link · Link
2004	Face recognition from face profile using dynamic time warping X. Zhou and B. Bhanu, “Face recognition from face profile using dynamic time warping,” Proc. International Conference on Pattern Recognition, Vol. 4, pp. 499-502, Cambridge, UK, August 23-26, 2004. BiometricsFace/IrisObject Recognition	Conferences	Link · Link
2004	Feature synthesis using genetic programming for face expression recognition B. Bhanu, J. Yu, X, Tan and Y. Lin, “Feature synthesis using genetic programming for face expression recognition,” Proc. Genetic and Evolutionary Computation Conference, pp. 896-907, Seattle, WA, June 26-30, 2004. Face/IrisMachine LearningEvolutionary LearningObject Recognition	Conferences	Link · Link
2004	Handling uncertain spatial data: Comparisons between indexing structures B. Bhanu, R. Li, C. Ravishankar and J. Ni, “Handling uncertain spatial data: Comparisons between indexing structures,” Proc. Third International Workshop on Pattern Recognition in Remote Sensing (PRRS '04), Kingston upon Thames, UK, August 27, 2004. Retrieval	Pattern Recognition in Remote Sensing Workshop	Link
2004	Human ear recognition from side face range images H. Chen and B. Bhanu, “Human ear recognition from side face range images,” Proc. International Conference on Pattern Recognition, Volume 3, pp. 574-577, Cambridge, UK, August 23-26, 2004. BiometricsFace/IrisEarObject RecognitionNavigation/Motion/Robotics3D	Conferences	Link · Link
2004	Indexing structure for handling uncertain spatial data B. Bhanu, R. Li, C. Ravishankar, M. Kurth and J. Ni, “Indexing structure for handling uncertain spatial data,” Proc. 6th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, June 28-July 2, 2004. Portland, Maine, USA. Retrieval	International Symposium on Spatial Accuracy Assessment	Link
2004	Learning integrated perception-based speed control P. Leang and B. Bhanu, “Learning integrated perception-based speed control,” Proc. International Conference on Pattern Recognition, Vol. 1, pp. 813-816, Cambridge, UK, August 23-26, 2004. Machine LearningRegistration & FusionSensing and ControlMiscellaneous Learning	Conferences	Link · Link
2004	Moving humans detection based on multi-modal sensor fusion B. Bhanu and X. Zou, “Moving humans detection based on multi-modal sensor fusion,” Proc. IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum,” Washington, DC, July 2, 2004. Object RecognitionRegistration & FusionSensing and Control	Conferences	Link · Link
2004	On labeling noise and outliers for robust concept learning for image databases A. Dong and B. Bhanu, “On labeling noise and outliers for robust concept learning for image databases,” Proc. IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Washington, DC, June 28, 2004. Image/Video Database and LearningMachine LearningConcept/Active LearningMiscellaneous Learning	Conferences	Link · Link
2004	Physics-based cooperative sensor fusion for moving object detection S. Nadimi and B. Bhanu, “Physics-based cooperative sensor fusion for moving object detection,” Proc. IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Washington, DC, June 28, 2004. Object RecognitionTargets/ObjectsRegistration & FusionSensing and Control	Conferences	Link · Link
2004	Predicting fingerprint recognition performance from a small gallery B. Bhanu, R. Wang and X. Tan, “Predicting fingerprint recognition performance from a small gallery,” Proc. Workshop on Biometrics: Challenges arising from Theory to Practice (BCTP), pp. 47-50, August 22, 2004, Cambridge, UK. BiometricsFingerprintObject RecognitionPrediction	Conferences	Legacy link
2004	Statistical feature fusion for gait-based human recognition J. Han and B. Bhanu, “Statistical feature fusion for gait-based human recognition,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 842-847, Washington, DC, June 27-July 2, 2004. BiometricsGaitObject RecognitionRegistration & Fusion	Conferences	Link · Link
2003	A new semi-supervised EM algorithm for image retrieval A. Dong and B. Bhanu “A new semi-supervised EM algorithm for image retrieval,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, Vol. II, pp. 662-667, Madison, WI, June 18-20, 2003. Image/Video Database and LearningRetrievalMachine LearningConcept/Active Learning	Conferences	Link · Link
2003	Active concept learning for Image retrieval in dynamic databases A. Dong and B. Bhanu, “Active concept learning for Image retrieval in dynamic databases,” International Conference on Computer Vision, pp. 90-95, Nice, France, Oct. 13-16, 2003. Image/Video Database and LearningRetrievalMachine LearningConcept/Active LearningMiscellaneous Learning	Conferences	Link · Link
2003	Coevolution and linear genetic programming for visual learning K. Krawiec and B. Bhanu, “Coevolution and linear genetic programming for visual learning,” Genetic and Evolutionary Computation Conference, Part I, pp. 332-343, Chicago, IL, July 12-16, 2003. Machine LearningEvolutionary LearningMiscellaneous Learning	Conferences	Link · Link
2003	Coevolutionary computation for synthesis of recognition systems K. Krawiec and B. Bhanu, “Coevolutionary computation for synthesis of recognition systems,” Proceedings IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Madison, WI, June 22, 2003. Evolutionary LearningObject Recognition	Conferences	Link · Link
2003	Coevolving feature extraction agents for target recognition in SAR images B. Bhanu and K. Krawiec, ''Coevolving feature extraction agents for target recognition in SAR images,'' Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery X, 5095, Orlando. FL, April 2003, 275-283, 2003. (Invited by U.S. Governmental Agencies) Machine LearningObject RecognitionTargets/Objects	Conferences	Link · Link
2003	Composite class models for SAR recognition B. Bhanu, G. Jones and R. Wang, ''Composite class models for SAR recognition,'' Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery X, 5095, Orlando, Florida, April 2003, 284-291, 2003. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/Objects	Conferences	Link
2003	Concept learning and transplantation for dynamic image databases A. Dong and B. Bhanu, “Concept learning and transplantation for dynamic image databases,” IEEE International Conference on Multimedia and Expo, pp. 765-768, Baltimore, MD, July 6-9, 2003. Image/Video Database and LearningMachine LearningConcept/Active LearningMiscellaneous Learning	Conferences	Link · Link
2003	Detecting moving humans using color and infrared video J. Han and B. Bhanu, “Detecting moving humans using color and infrared video,” IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 228-233, Tokyo, Japan, July 29-August 1, 2003. Video Networks/Analysis	Conferences	Link · Link
2003	Fingerprint identification: classification vs. Indexing X. Tan and B. Bhanu, “Fingerprint identification: classification vs. Indexing,” IEEE International Conference on Advanced Video and Signal-based Surveillance, pp. 151-156, Miami, FL, July 21-22, 2003. BiometricsFingerprintRetrievalMachine LearningObject Recognition	Conferences	Link · Link
2003	Gait energy image representation: Comparative performance evaluation on USF HumanID database J. Han and B. Bhanu, “Gait energy image representation: Comparative performance evaluation on USF HumanID database,” Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, Nice, France, Oct. 11-12, 2003. BiometricsGait	Conferences	Legacy link
2003	Human ear recognition in 3-D B. Bhanu and H. Chen, “Human ear recognition in 3-D,” Proc. Workshop on Multimodal User Authentication, Santa Barbara, CA, pp. 91-98, December 11-12, 2003. BiometricsEarObject Recognition3D	Conferences	Legacy link
2003	Human recognition on combining kinematic and stationary features B. Bhanu and J. Han, “Human recognition on combining kinematic and stationary features,” Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 600-608, Guildford, UK, June 9-11, 2003. BiometricsGaitObject Recognition	Conferences	Link · Link
2003	Individual recognition using gait energy image J. Han and B. Bhanu, “Individual recognition using gait energy image,” Proc. Workshop on Multimodal User Authentication, Santa Barbara, CA, pp. 181-188, December 11-12, 2003. BiometricsGaitObject Recognition	Conferences	Link · Link
2003	Learning features for fingerprint classification X. Tan, B. Bhanu and Y. Lin, “Learning features for fingerprint classification,” Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 318-326, Guildford, UK, June 9-11, 2003. BiometricsFingerprintMachine LearningObject RecognitionMiscellaneous Learning	Conferences	Link · Link
2003	Learning features for object recognition Y. Lin and B. Bhanu, “Learning features for object recognition,” Genetic and Evolutionary Computation Conference, Part II, pp. 2227-2239, Chicago, IL, July 12-16, 2003. Machine LearningObject RecognitionTargets/ObjectsMiscellaneous Learning	Conferences	Link · Link
2003	MDL-based genetic programming for object detection Y. Lin and B. Bhanu, “MDL-based genetic programming for object detection,” Proceedings IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Madison, WI, June 22, 2003. Evolutionary LearningObject RecognitionTargets/Objects	Conferences	Link · Link
2003	On the fundamental performance for fingerprint matching X. Tan and B. Bhanu, “On the fundamental performance for fingerprint matching,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, Vol. II, pp. 499-504, Madison, WI, June 18-20, 2003. BiometricsFingerprintRegistration & Fusion	Conferences	Link · Link
2003	Performance modeling of vote-based object recognition E. Hong, B. Bhanu, G. Jones and X. Qian, ''Performance modeling of vote-based object recognition,'' SPIE Conference Proceedings Radar Sensor Technology IX, 5077, Orlando. FL, April 2003, 157-166, 2003. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/ObjectsPrediction	Conferences	Link · Link
2003	Physics-based models for sensor fusion S. Nadimi and B. Bhanu, “Physics-based models for sensor fusion,” IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 161-166, Tokyo, Japan, July 29-August 1, 2003. Registration & FusionSensing and Control	IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems	Link
2003	Probabilistic Spatial Database Operations J. Ni, C.V. Ravishankar and B. Bhanu, “Probabilistic Spatial Database Operations,” Eighth International Symposium on Spatial and Temporal Databases, Santorini Island, Greece, July 24-27, 2003. Image/Video Database and LearningBayesian Learning	Conferences	Link · Link
2003	Reinforcement learning for combining relevance feedback techniques in image retrieval P. Yin, B. Bhanu, K. Chang and A. Dong, “Reinforcement learning for combining relevance feedback techniques in image retrieval,” International Conference on Computer Vision, pp. 510-515, Nice, France, Oct. 13-16, 2003. Image/Video Database and LearningRetrievalRelevance FeedbackMachine LearningReinforcement LearningMiscellaneous Learning	Conferences	Link · Link
2003	Visual learning by evolutionary feature synthesis K. Krawiec and B. Bhanu, “Visual learning by evolutionary feature synthesis,” International Conference on Machine Learning, pp. 376-383, Washington, DC, August 21-24, 2003. Machine LearningEvolutionary LearningMiscellaneous Learning	Conferences	Link · Link
2002	Bayesian-based performance prediction for gait recognition B. Bhanu and J. Han, “Bayesian-based performance prediction for gait recognition,” Proceedings IEEE Workshop on Human Motion and Video Computing, pp. 145-150, Orlando, Florida, December 5-6, 2002. BiometricsGaitBayesian LearningObject RecognitionPrediction	Conferences	Link · Link
2002	Coevolutionary Construction of Features for Transformation of Representation in Machine Learning B. Bhanu and K. Krawiec, “Coevolutionary construction of features by transformation of representation in machine learning,” Proceedings GECCO Workshop on Understanding Coevolution: Theory and Analysis of Coevolutionary Algorithms, pp. 249-254, New York City, New York, July 9, 2002. Machine LearningEvolutionary LearningMiscellaneous Learning	GECCO Workshop on Understanding Coevolution	Link
2002	Discovering operators and features for object recognition Y. Lin and B. Bhanu, “Discovering operators and features for object recognition,” Proceedings International Conference on Pattern Recognition, Vol. III, pp. 339-342, Quebec City, Canada, August 11-15, 2002. Object RecognitionTargets/Objects	Conferences	Legacy link
2002	Exploiting azimuthal variance of scatterers for multiple look SAR recognition B. Bhanu and G. Jones, ''Exploiting azimuthal variance of scatterers for multiple look SAR recognition,'' Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery IX, Vol. 4727, Orlando, Florida, April 2002, pp. 290-298, 2002. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/Objects	Conferences	Link · Link
2002	Fingerprint matching by genetic algorithms X. Tan, B. Bhanu, ''Fingerprint matching by genetic algorithms,'' Proceedings GECCO Late Breaking Papers, New York City, New York, July 2002, pp. 435-442, 2002 (Partially-Refereed). BiometricsFingerprintEvolutionary LearningRegistration & Fusion	Conferences	Link · Link
2002	Fingerprint verification using genetic algorithms X. Tan and B. Bhanu, “Fingerprint verification using genetic algorithms,” Proceedings IEEE Workshop on Applications of Computer Vision, pp. 79-83, Orlando, Florida, December 3-4, 2002. BiometricsFingerprintEvolutionary Learning	Conferences	Link · Link
2002	Improving retrieval performance by long-term relevance information P. Yin, B. Bhanu, K. Chang and A. Dong, “Improving retrieval performance by long-term relevance information,” Proceedings International Conference on Pattern Recognition, pp. Vol. III, pp. 533-536, Quebec City, Canada, August 11-15, 2002. RetrievalRelevance Feedback	Conferences	Link · Link
2002	Individual recognition by kinematic-based gait analysis B. Bhanu and J. Han, “Individual recognition by kinematic-based gait analysis,” Proceedings International Conference on Pattern Recognition, Vol. III, pp. 343-346, Quebec City, Canada, August 11-15, 2002. BiometricsGaitObject Recognition	Conferences	Link · Link
2002	Kinematic-based human motion analysis in infrared sequences B. Bhanu and J. Han, “Kinematic-based human motion analysis in infrared sequences,” Proceedings IEEE Workshop on Applications of Computer Vision, pp. 208-212, Orlando, Florida, December 3-4, 2002. GaitVideo Networks/AnalysisNavigation/Motion/Robotics	Conferences	Link · Link
2002	Learning Composite Operators For Object Detection B. Bhanu and Y. Lin, “Learning composite operators for object detection,” Proceedings Genetic and Evolutionary Computation Conference, pp. 1003-1010, New York City, New York, July 9-13, 2002. Machine LearningObject RecognitionTargets/ObjectsMiscellaneous Learning	Genetic and Evolutionary Computation Conference	Link
2002	Learning feature agents for extracting terrain regions in remotely sensed images B. Bhanu and Y. Lin, “Learning feature agents for extracting terrain regions in remotely sensed images,” International Workshop on Pattern Recognition in Remote Sensing, pp. 1-6, Niagara Falls, Canada, August 16, 2002. Machine LearningSegmentationMiscellaneous Learning	Conferences	Legacy link
2002	Learning semantic visual concepts from video J. Liu and B. Bhanu, “Learning semantic visual concepts from video,” Proceedings International Conference on Pattern Recognition, Vol. II, 1061-1064, Quebec City, Canada, August 11-15, 2002. Video Networks/AnalysisSemantics, Retrieval, VQAMachine LearningMiscellaneous Learning	Conferences	Link · Link
2002	Moving shadow detection using a physics-based approach S. Nadimi and B. Bhanu, “Moving shadow detection using a physics-based approach,” Proceedings International Conference on Pattern Recognition, Vol. II, pp. 701-704, Quebec City, Canada, August 11-15, 2002. Object Recognition	Conferences	Link · Link
2002	Robust Fingerprint Identification X. Tan and B. Bhanu, “Robust Fingerprint Identification,” IEEE International Conference on Image Processing, Vol. I, pp. 277-280, Rochester, New York, September 22-25, 2002. BiometricsFingerprint	Conferences	Link · Link
2001	A triplet based approach for indexing of fingerprint database for identification B. Bhanu and X. Tan, “A triplet based approach for indexing of fingerprint database for identification,” Proceedings Third International Conference on Audio- and Video-Based Biometric Person Authentication, pp. 205-210, Halmstad, Sweden, June 6-8, 2001. BiometricsFingerprintRetrieval	Conferences	Link · Link
2001	Exploitation of meta knowledge for learning visual concepts B. Bhanu and A. Dong, “Exploitation of meta knowledge for learning visual concepts,” IEEE Workshop on Content-based Access of Image and Video Libraries, pp. 81-88, Kauai, Hawaii, December 14, 2001. Semantics, Retrieval, VQAMachine LearningMiscellaneous Learning	Conferences	Link · Link
2001	Feature selection for target detection in SAR images B. Bhanu, Y. Lin and S. Wang, “Feature selection for target detection in SAR images,” Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum, Kauai, Hawaii, December 14, 2001. Feature SelectionObject RecognitionTargets/Objects	Conferences	Legacy link
2001	Increasing the discrimination of SAR recognition models B. Bhanu and G. Jones III, ''Increasing the discrimination of SAR recognition models,'' Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery VIII, Vol. 4382, Orlando, Florida, April 2001, pp. 308-317, 2001. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/Objects	Conferences	Link · Link
2001	Learned templates for feature extraction in fingerprint images B. Bhanu and X. Tan, “Learned templates for feature extraction in fingerprint images,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, Vol. II, pp. 591-596, Kauai, Hawaii, December 11-13, 2001. BiometricsFingerprintMachine Learning	Conferences	Link · Link
2001	Multistrategy fusion using mixture model for moving object detection S. Nadimi and B. Bhanu, “Multistrategy fusion using mixture model for moving object detection,” Proceedings International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 317-322, Baden-Baden, Germany, August 20-22, 2001. Object RecognitionTargets/ObjectsRegistration & Fusion	Conferences	Link · Link
2001	Real time robot learning B. Bhanu, P. Leang, C. Cowden, Y. Lin and M. Patterson, “Real time robot learning,” Proceedings IEEE International Conference on Robotics and Automation, pp. 491-498, Seoul, South Korea, May 21-26, 2001. Machine LearningNavigation/Motion/RoboticsMiscellaneous Learning	Conferences	Link · Link
2000	Learning based interactive image segmentation B. Bhanu and S. Fonder, “Learning based interactive image segmentation,” Proceedings International Conference on Pattern Recognition, Vol. 1, pp. 299-302, Barcelona, Spain, September 3-7, 2000. Machine LearningSegmentationMiscellaneous Learning	Conferences	Link · Link
2000	Logical templates for feature extraction in fingerprint images B. Bhanu, M. Boshra and X. Tan, “Logical templates for feature extraction in fingerprint images,” Proceedings International Conference on Pattern Recognition, Vol. 2, pp. 850-854, Barcelona, Spain, September 3-7, 2000. BiometricsFingerprintMachine Learning	Conferences	Link · Link
2000	Object recognition results using MSTAR synthetic aperture radar data B. Bhanu and G. Jones III, “Object recognition results using MSTAR synthetic aperture radar data,” Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum, pp. 55-62, Hilton Head, South Carolina, June 16, 2000. Object RecognitionTargets/Objects	Conferences	Link · Link
2000	Recognition of occluded targets using stochastic models B. Bhanu and Y. Lin, “Recognition of occluded targets using stochastic models,” Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum, pp. 73-82, Hilton Head, South Carolina, June 16, 2000. Bayesian LearningObject RecognitionTargets/Objects	Conferences	Link · Link
2000	Recognizing occluded MSTAR targets B. Bhanu and G. Jones III, ''Recognizing occluded MSTAR targets,'' Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery VII, Vol 4053, Orlando, Florida, April 2000, pp. 361-369, 2000. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/Objects	Conferences	Link
2000	Validation of SAR ATR performance prediction using learned distortion models M. Boshra and B. Bhanu, ''Validation of SAR ATR performance predictions using learned distortion models,'' Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery VII, Vol. 4053, Orlando, Florida, April 2000, pp. 558-566, 2000. (Invited by U.S. Governmental Agencies) Targets/ObjectsPrediction	Algorithms for Synthetic Aperture Radar Imagery VII	Link
1999	Adaptive target recognition B. Bhanu, Y. Lin, G. Jones and J. Peng, “Adaptive target recognition,” Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum, pp. 71-81, Fort Collins, Colorado, June 22, 1999. Reinforcement LearningObject RecognitionTargets/Objects	Conferences	Link · Link
1999	Bounding SAR ATR performance based on model similarity M. Boshra and B. Bhanu, ''Bounding SAR ATR performance based on model similarity,'' Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery VI, Vol. 3721, Orlando, Florida, April 1999, pp. 716-729, 1999. (Invited by U.S. Governmental Agencies) Targets/Objects	Conferences	Link
1999	Feature relevance estimation for image databases J. Peng and B. Bhanu, “Feature relevance estimation for image databases,” Proceedings Fifth International Workshop on Multimedia Information Systems (MIS'99), pp. 12-19, in Advances in Multimedia Information Systems, Edited by L. Golubchik and V.J. Tsotras, Indian Wells, California, October 21-23, 1999. Image/Video Database and LearningFeature SelectionPrediction	Conferences	Link
1999	Performance prediction and validation for object recognition M. Boshra and B. Bhanu, “Performance prediction and validation for object recognition,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 380-386, Fort Collins, Colorado, June 23-25, 1999. Object RecognitionTargets/ObjectsPrediction	Conferences	Link · Link
1999	Quasi-invariants for recognition of articulated and non-standard objects in SAR images G. Jones and B. Bhanu, “Quasi-invariants for recognition of articulated and non-standard objects in SAR images,” Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum, pp. 88-97, Fort Collins, Colorado, June 22, 1999 Object RecognitionTargets/Objects	Conferences	Link · Link
1999	Recognizing MSTAR target variants and articulations B. Bhanu and G. Jones, ''Recognizing MSTAR target variants and articulations,'' Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery VI, Vol. 3721, Orlando, Florida, April 1999, pp. 507-519, 1999. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/Objects	Conferences	Link
1998	A system for model-based recognition of articulated objects B. Bhanu and J. Ahn, “A system for model-based recognition of articulated objects,” Proceedings International Conference on Pattern Recognition, pp. 1812-1815, Brisbane, Australia, August 17-20, 1998. Object RecognitionTargets/Objects	Conferences	Link · Link
1998	Adaptive integrated image segmentation and object recognition B. Bhanu and J. Peng, “Adaptive integrated image segmentation and object recognition,” Proceedings Eleventh Vision Interface Conference, pp. 471-478, Vancouver, Canada, June 18-20, 1998. Object RecognitionTargets/ObjectsSegmentationRegistration & Fusion	Conferences	Link · Link
1998	Adaptive target recognition using reinforcement learning B. Bhanu, Y. Lin, G. Jones, and J. Peng, ''Adaptive target recognition using reinforcement learning,'' Proceedings DARPA Image Understanding Workshop, Monterey, California, November 1998, pp. 1177-1180, 1998. (Invited by U.S. Governmental Agencies) Machine LearningReinforcement LearningObject RecognitionTargets/ObjectsMiscellaneous Learning	Conferences	Legacy link
1998	Bounding fundamental performance of feature-based object recognition M. Boshra and B. Bhanu, ''Bounding fundamental performance of feature-based object recognition,'' Proceedings DARPA Image Understanding Workshop, Monterey, California, November 1998, pp. 1155-1162, 1998. (Invited by Governmental Agencies) Object RecognitionTargets/Objects	Conferences	Legacy link
1998	Geometrical and magnitude invariants for recognition of articulated and non-standard objects in MSTAR images G. Jones III, B. Bhanu and J. Guo, ''Geometrical and magnitude invariants for recognition of articulated and non-standard objects in MSTAR images,'' Proceedings DARPA Image Understanding Workshop, Monterey, California, November 1998, pp. 1163-1170, 1998. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/Objects	Conferences	Legacy link
1998	Integrated recognition, learning and image databases: Image understanding research at University of California, Riverside B. Bhanu, ''Integrated recognition, learning and image databases: Image understanding research at University of California, Riverside,'' Proceedings DARPA Image Understanding Workshop, Monterey, California, November 1998, pp. 969-978, 1998. (Invited by U.S. Governmental Agencies) Image/Video Database and LearningMachine LearningObject RecognitionRegistration & FusionMiscellaneous Learning	Conferences	Legacy link
1998	Interactive target recognition using a database-retrieval oriented approach G. Sudhir and B. Bhanu, ''Interactive target recognition using a database-retrieval oriented approach,'' Proceedings DARPA Image Understanding Workshop, Monterey, California, November 1998, pp. 1149-1154, 1998. (Invited by U.S. Governmental Agencies) RetrievalObject RecognitionTargets/Objects	Conferences	Legacy link
1998	Learning feature relevance and similarity metrics in image databases B. Bhanu, J. Peng and S. Qing, “Learning feature relevance and similarity metrics in image databases,” Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries, pp. 14-18, Santa Barbara, California, June 21, 1998. Image/Video Database and LearningMachine LearningFeature SelectionMiscellaneous Learning	Conferences	Link · Link
1998	Learning integrated online indexing for image databases B. Bhanu, S. Qing and J. Peng, “Learning integrated online indexing for image databases,” Proceedings IEEE International Conference on Image Processing, pp. 789-793, Chicago, Illinois, October 4-7, 1998. Image/Video Database and LearningRetrievalMachine LearningRegistration & FusionMiscellaneous Learning	Conferences	Link · Link
1998	Learning to perceive for autonomous navigation in outdoor environments J. Peng and B. Bhanu, “Learning to perceive for autonomous navigation in outdoor environments,” Proceedings IEEE Workshop on Perception for Mobile Agents, pp. 95-104, Santa Barbara, California, June 26, 1998. Machine LearningNavigation/Motion/RoboticsMiscellaneous Learning	Conferences	Legacy link
1998	Local reinforcement learning for object recognition J. Peng and B. Bhanu, “Local reinforcement learning for object recognition,” Proceedings International Conference on Pattern Recognition, pp. 272-274, Brisbane, Australia, August 17-20, 1998. Machine LearningReinforcement LearningObject RecognitionTargets/ObjectsMiscellaneous Learning	Conferences	Link · Link
1998	Performance modeling of feature-based classification in SAR imagery M. Boshra and B. Bhanu, ''Performance modeling of feature-based classification in SAR imagery,'' Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery, V, Vol. 3370, Orlando, Florida, April 1998, pp. 661-674, 1998. (Invited by U.S. Governmental Agencies) Machine LearningObject RecognitionTargets/ObjectsPrediction	Conferences	Link · Link
1998	Predicting object recognition performance under data uncertainty, occlusion and clutter M. Boshra and B. Bhanu, “Predicting object recognition performance under data uncertainty, occlusion and clutter,” Proceedings IEEE International Conference on Image Processing, pp. 556-560, Chicago, Illinois, October 4-7, 1998. Object RecognitionTargets/ObjectsContextPrediction	Conferences	Link · Link
1998	Probabilistic feature relevance learning for online indexing J. Peng, B. Bhanu and Y. Zeng, ''Probabilistic feature relevance learning for online indexing,'' Proceedings DARPA Image Understanding Workshop, Monterey, California, November 1998, pp. 1171-1176, 1998. (Invited by U.S. Governmental Agencies) Image/Video Database and LearningRetrievalMachine LearningBayesian LearningFeature SelectionMiscellaneous Learning	Conferences	Legacy link
1998	Recognizing articulated objects and object articulation in SAR images B. Bhanu, G. Jones III and J. Ahn, ''Recognizing articulated objects and object articulation in SAR images,'' Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery V, Vol. 3370, Orlando, Florida, April 1998, pp. 493-505, 1998. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/Objects	Conferences	Link · Link
1998	Target recognition for articulated and occluded objects in synthetic aperture radar imagery B. Bhanu and G. Jones, “Target recognition for articulated and occluded objects in synthetic aperture radar imagery,” Proceedings IEEE Radar Conference, pp. 245-250, Dallas, Texas, May 12-13, 1998. Object RecognitionTargets/Objects	Conferences	Link · Link
1997	Image understanding research at University of California, Riverside: Integrated recognition, learning and image databases B. Bhanu, ''Image understanding research at University of California, Riverside: Integrated recognition, learning and image databases,'' Proceedings DARPA Image Understanding Workshop, New Orleans, Louisiana, May 1997, pp. 483-494, 1997. (Invited by U.S. Governmental Agencies) Image/Video Database and LearningMachine LearningObject RecognitionRegistration & FusionMiscellaneous Learning	Conferences	Legacy link
1997	Invariants for the recognition of articulated and occluded objects in SAR images G. Jones and B. Bhanu, ''Invariants for the recognition of articulated and occluded objects in SAR images,'' Proceedings DARPA Image Understanding Workshop, New Orleans, Louisiana, May 1997, pp. 1135-1144, 1997. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/Objects	Conferences	Legacy link
1997	Matching of articulated objects in SAR images J. Ahn and B. Bhanu, ''Matching of articulated objects in SAR images,'' Proceedings DARPA Image Understanding Workshop, New Orleans, Louisiana, May 1997, pp. 1167-1171, 1997. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/ObjectsRegistration & Fusion	Conferences	Legacy link
1997	Multiple stochastic models for recognition of occluded targets in SAR images B. Bhanu and B. Tian, ''Multiple stochastic models for recognition of occluded targets in SAR images,'' Proceedings DARPA Image Understanding Workshop, New Orleans, Louisiana, May 1997, pp. 1119-1128, 1997. (Invited by U.S. Governmental Agencies) Bayesian LearningObject RecognitionTargets/Objects	Conferences	Legacy link
1997	Performance characterization of a model-based SAR target recognition system using invariants B. Bhanu and G. Jones, ''Performance characterization of a model-based SAR target recognition system using invariants,'' Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery, V. 3070, Orlando, Florida, April 1997, pp. 305-321, 1997. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/ObjectsPrediction	Conferences	Link · Link
1997	Reinforcement learning integrated image segmentation and object recognition B. Bhanu, X. Bao and J. Peng, ''Reinforcement learning integrated image segmentation and object recognition,'' Proceedings DARPA Image Understanding Workshop, New Orleans, Louisiana, May 1997, pp. 1145-1154, 1997. (Invited by U.S. Governmental Agencies) Machine LearningReinforcement LearningObject RecognitionTargets/ObjectsSegmentationRegistration & FusionMiscellaneous Learning	Conferences	Legacy link
1997	Stochastic models for recognition of articulated objects B. Bhanu and B. Tian, “Stochastic models for recognition of articulated objects,” Proceedings IEEE International Conference on Image Processing, pp. 847-850, Santa Barbara, California, October 26-29, 1997. Bayesian LearningObject RecognitionTargets/Objects	Conferences	Link · Link
1996	A Bayesian approach for the segmentation of SAR images using dynamically selected neighborhoods T.A. Ferryman and B. Bhanu, ''A Bayesian approach for the segmentation of SAR images using dynamically selected neighborhoods,'' Proceedings ARPA Image Understanding Workshop, Palm Springs, California, February 1996, pp. 891-896, 1996. (Invited by U.S. Governmental Agencies) Bayesian LearningTargets/ObjectsSegmentation	Conferences	Legacy link
1996	Adaptive object detection based on modified Hebbian learning Y.-J. Zheng and B. Bhanu, “Adaptive object detection based on modified Hebbian learning,” Proceedings 13th International Conference on Pattern Recognition, Vol. 4, pp. 164-168, Vienna, Austria, August 25-30, 1996. Machine LearningEvolutionary LearningObject RecognitionTargets/ObjectsMiscellaneous Learning	Conferences	Link · Link
1996	Adaptive object detection from multisensor data Y.-J. Zheng and B. Bhanu, “Adaptive object detection from multisensor data,” Proceedings IEEE International Conference on Multisensor Fusion and Integration of Intelligent Systems, pp. 633-640, Washington, DC, December 8-11, 1996. Object RecognitionTargets/ObjectsSensing and Control	Conferences	Link · Link
1996	Automatic model construction for object recognition using ISAR images S. Zhang and B. Bhanu, ''Automatic model construction for object recognition using inverse synthetic aperture radar images,'' Proceedings ARPA Image Understanding Workshop, Palm Springs, California, February 1996, pp. 1229-1236, 1996. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/Objects	Proceedings of the International Conference on Pattern Recognition	Link
1996	Automatic model construction for object recognition using ISAR images S. Zhang and B. Bhanu, “Automatic model construction for object recognition using ISAR images,” Proceedings 13th International Conference on Pattern Recognition, Vol. 4, pp. 169-173, Vienna, Austria, August 25-30, 1996. Object RecognitionTargets/Objects	Conferences	Link · Link
1996	Closed-loop object recognition using reinforcement learning J. Peng and B. Bhanu, “Closed-loop object recognition using reinforcement learning,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 538-543, San Francisco, California, June 16-20, 1996. Machine LearningReinforcement LearningObject RecognitionTargets/ObjectsMiscellaneous Learning	Conferences	Link · Link
1996	Delayed reinforcement learning for closed-loop object recognition J. Peng and B. Bhanu, ''Delayed reinforcement learning for closed-loop object recognition,'' Proceedings ARPA Image Understanding Workshop, Palm Springs, California, February 1996, pp. 1429-1435, 1996. (Invited by U.S. Governmental Agencies) Machine LearningReinforcement LearningObject RecognitionTargets/ObjectsMiscellaneous Learning	Conferences	Link · Link
1996	Delayed reinforcement learning for closed-loop object recognition J. Peng and B. Bhanu, “Delayed reinforcement learning for closed-loop object recognition,” Proceedings 13th International Conference on Pattern Recognition, Vol. 4, 310-314, Vienna, Austria, August 25-30, 1996. Machine LearningReinforcement LearningObject RecognitionTargets/ObjectsMiscellaneous Learning	Conferences	Link · Link
1996	Image understanding research at University of California, Riverside: Robust recognition of objects in real-world scenes B. Bhanu, ''Image understanding research at University of California, Riverside: Robust recognition of objects in real-world scenes,'' Proceedings ARPA Image Understanding Workshop, Palm Springs, California, February 1996, pp. 117-128, 1996. (Invited by U.S. Governmental Agencies) Image/Video Database and LearningObject RecognitionTargets/Objects	Conferences	Legacy link
1996	Modeling clutter and context for target detection in infrared images S. Rong and B. Bhanu, “Modeling clutter and context for target detection in infrared images,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 106-113, San Francisco, California, June 16-20, 1996. Object RecognitionTargets/ObjectsContext	Conferences	Link · Link
1996	Performance improvement by input adaptation using modified Hebbian learning Y.J. Zheng and B. Bhanu, ''Performance improvement by input adaptation using modified Hebbian learning,'' Proceedings ARPA Image Understanding Workshop, Palm Springs, California, February 1996, pp. 1381-1387, 1996. (Invited by U.S. Governmental Agencies) Machine LearningEvolutionary LearningMiscellaneous Learning	Conferences	Legacy link
1996	Recognition of articulated objects in SAR images B. Bhanu, G. Jones, J. Ahn, M. Li, and J. Yi, ''Recognition of articulated objects in SAR images,'' Proceedings ARPA Image Understanding Workshop, Palm Springs, California, February 1996, pp. 1237-1250, 1996. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/Objects	Conferences	Link · Link
1996	Reinforcement learning for integrating context with clutter models for target detection S. Rong and B. Bhanu, ''Reinforcement learning for integrating context with clutter models for target detection,'' Proceedings ARPA Image Understanding Workshop, Palm Springs, California, February 1996, pp. 1389-1394, 1996. (Invited by U.S. Governmental Agencies) Machine LearningReinforcement LearningObject RecognitionTargets/ObjectsContextMiscellaneous Learning	Conferences	Legacy link
1995	Composite phase and phase-based Gabor element aggregation N. Braithwaite and B. Bhanu, “Composite phase and phase-based Gabor element aggregation,” Proceedings IEEE International Conference on Image Processing, pp. 538-541, Washington, DC, October 22-25, 1995. Object Recognition	Conferences	Link · Link
1995	Enhancing a self-organizing map through near-miss injection S. Rong and B. Bhanu, “Enhancing a self-organizing map through near-miss injection,” Proceedings World Congress on Neural Networks (Annual Meeting of the International Neural Networks Society), pp. I552-I556, Washington, DC, July 17-21, 1995. Deep/Online Learning	Conferences	Legacy link
1995	Error bound for multi-stage synthesis of narrow bandwidth Gabor filters N. Braithwaite and B. Bhanu, “Error bound for multi-stage synthesis of narrow bandwidth Gabor filters,” Proceedings IEEE International on Conference Image Processing, pp. 33-36, Washington, DC, October 22-25, 1995. Object Recognition	Conferences	Link · Link
1995	Gabor wavelets for 3-D object recognition X. Wu and B. Bhanu, “Gabor wavelets for 3-D object recognition,” Proceedings Fifth International Conference on Computer Vision, pp. 537-542, Massachusetts Institute of Technology, Cambridge, Massachusetts, June 20-23, 1995. Object RecognitionTargets/Objects3D	Conferences	Link · Link
1994	A geometric constraint method for estimating 3-D camera motion W. Burger and B. Bhanu, “A geometric constraint method for estimating 3-D camera motion,” Proceedings IEEE Conference on Robotics and Automation, pp. 1155-1160, San Diego, California, May 8-13, 1994. Navigation/Motion/Robotics3D	Conferences	Link · Link
1994	A learning system for consolidated recognition and motion analysis R. Dutta and B. Bhanu, ''A learning system for consolidated recognition and motion analysis,'' Proceedings ARPA Image Understanding Workshop, Monterey, California, November 1994, pp. 773-776, 1994. (Invited by U.S. Governmental Agencies) Video Networks/AnalysisMachine LearningObject RecognitionNavigation/Motion/RoboticsMiscellaneous Learning	Conferences	Legacy link
1994	A system for aircraft recognition in perspective aerial images S. Das, B. Bhanu, X. Wu and R. N. Braithwaite, “A system for aircraft recognition in perspective aerial images,” Proceedings 2nd IEEE Workshop on Applications of Computer Vision, Sarasota, pp. 168-175, Florida, December 5-7, 1994. Object RecognitionTargets/Objects	Conferences	Link · Link
1994	Background modeling for target detection and recognition B. Bhanu and S. Rong, “Background modeling for target detection and recognition,” Proceedings 5th Annual Ground Target Modeling and Validation Conference, pp. 11-20, Houghton, Michigan, August 23-25, 1994. Object RecognitionTargets/ObjectsContext	Conferences	Legacy link
1994	Characterizing natural backgrounds for target detection S. Rong and B. Bhanu, ''Characterizing natural backgrounds for target detection,'' Proceedings ARPA Image Understanding Workshop, Monterey, California, November 1994, pp. 501-504, 1994. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/ObjectsContext	Conferences	Legacy link
1994	Closed-loop object recognition using reinforcement learning J. Peng and B. Bhanu, ''Closed-loop object recognition using reinforcement learning,'' Proceedings ARPA Image Understanding Workshop, Monterey, California, November 1994, pp. 777-780, 1994. (Invited by U.S. Governmental Agencies) Machine LearningReinforcement LearningObject RecognitionTargets/ObjectsMiscellaneous Learning	Conferences	Link · Link
1994	Generic object recognition using CAD-based multiple representations S. Das, B. Bhanu and C-C. Ho, “Generic object recognition using CAD-based multiple representations,” Proceedings Second IEEE Workshop on CAD-Based Vision, pp. 202-209, Champion, Pittsburgh, Pennsylvania, February 1994. Object RecognitionTargets/Objects	Conferences	Link · Link
1994	Hierarchical Gabor filters for object detection in infrared images N. Braithwaite and B. Bhanu, “Hierarchical Gabor filters for object detection in infrared images,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 628-631, Seattle, Washington, June 20-23, 1994. Object RecognitionTargets/Objects	Conferences	Link · Link
1994	Image understanding research at University of California, Riverside B. Bhanu, ''Image understanding research at University of California, Riverside,'' Proceedings ARPA Image Understanding Workshop, Monterey, California, November 1994, pp. 3-8, 1994. (Invited by U.S. Governmental Agencies) Image/Video Database and LearningObject Recognition	Conferences	Legacy link
1994	Report of the AAAI Fall Symposium on Machine Learning and Computer Vision: What, Why and How? K. Boyer, L. Hall, P. Langley, B. Bhanu, and B. Draper, ''Report of the AAAI Fall Symposium on Machine Learning and Computer Vision: What, Why and How?'' Proceedings ARPA Image Understanding Workshop, Monterey, California, November 1994, pp. 727-731, 1994. (Invited by U.S. Governmental Agencies) Machine LearningMiscellaneous Learning	Conferences	Link
1994	Signal-to-symbol conversion for structural object recognition using hidden Markov models W. Burger and B. Bhanu, ''Signal-to-symbol conversion for structural object recognition using hidden Markov models,'' Proceedings ARPA Image Understanding Workshop, Monterey, California, November 1994, pp. 1287-1291, 1994. (Invited by U.S. Governmental Agencies) Bayesian LearningObject RecognitionTargets/Objects	Conferences	Legacy link
1994	Target detection using phase-based Gabor element aggregation R.N. Braithwaite and B. Bhanu, ''Target detection using phase-based Gabor element aggregation,'' Proceedings ARPA Image Understanding Workshop, Monterey, California, November 1994, pp. 511-514, 1994. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/Objects	Conferences	Legacy link
1994	Target recognition using multi-scale Gabor filters X. Wu and B. Bhanu, ''Target recognition using multi-scale Gabor filters,'' Proceedings ARPA Image Understanding Workshop, Monterey, California, November 1994, pp. 505-509, 1994. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/Objects	Conferences	Legacy link
1993	Adaptive image segmentation using multi-objective evaluation and hybrid search methods B. Bhanu, S. Lee and S. Das, “Adaptive image segmentation using multi-objective evaluation and hybrid search methods,” Proceedings AAAI Fall Symposium on Machine Learning and Computer Vision: What, Why and How? pp. 30-34, Raleigh, North Carolina, October 22-24, 1993. Reinforcement LearningObject RecognitionTargets/ObjectsSegmentation	AAAI Fall Symposium on Machine Learning and Computer Vision	Link
1993	Robust guidance of a conventionally steered vehicle using destination bearing N. Braithwaite and B. Bhanu, “Robust guidance of a conventionally steered vehicle using destination bearing,” Proceedings IEEE International Symposium on Intelligent Control, pp. 382-387, Chicago, Illinois, August 25-27, 1993. Object RecognitionTargets/Objects	Conferences	Link · Link
1992	A system for obstacle detection during rotorcraft low-altitude flight B. Bhanu, B. Roberts, D. Duncan and S. Das, “A system for obstacle detection during rotorcraft low-altitude flight,” Proceedings IEEE Workshop on Applications of Computer Vision, pp. 92-99, Palm Springs, California, November/December 1992. Object RecognitionNavigation/Motion/Robotics	Conferences	Link · Link
1992	Building hierarchical vision model of objects with multiple representations B. Bhanu, C. C. Ho, ''Building hierarchical vision model of objects with multiple representations,'' Proceedings SPIE Conference on Applications Artificial Intelligence X: Machine Vision and Robotics, Vol. 1708, Orlando, Florida, April 1992, pp. 663-674, 1992 (Partially-Refereed). Object RecognitionTargets/Objects	Conferences	Link · Link
1992	Image understanding research for automatic target recognition B. Bhanu and T. Jones, ''Image understanding research for automatic target recognition,'' Proceedings DARPA Image Understanding Workshop, San Diego, California, January 1992, pp. 249-254, 1992. (Invited by U.S. Governmental Agencies) Image/Video Database and LearningObject RecognitionTargets/Objects	Conferences	Link · Link
1992	Integrated binocular and motion stereo in an inertial navigation sensor-based mobile vehicle B. Bhanu, P. Symosek, S. Snyder, B. Roberts and S. Das, “Integrated binocular and motion stereo in an inertial navigation sensor-based mobile vehicle,” Proceedings IEEE International Symposium on Intelligent Control, pp. 60-65, Glasgow, United Kingdom, August 1992. Object RecognitionTargets/ObjectsRegistration & FusionNavigation/Motion/RoboticsSensing and Control	Conferences	Link · Link
1992	Learning-based control of perception for mobility M. Barth, S. Das and B. Bhanu, “Learning-based control of perception for mobility,” Proceedings IEEE International Symposium on Intelligent Control, pp. 329-334, Glasgow, United Kingdom, August 1992. Machine LearningSensing and ControlMiscellaneous Learning	Conferences	Link · Link
1992	Reasoning about motion and scene structure for visual navigation W. Burger and B. Bhanu, “Reasoning about motion and scene structure for visual navigation,” Proceedings European Meeting on Cybernetics and Systems Research - EMCSR (World Scientific Publishers), pp. 1431-1438, Vienna, Austria, April 21-24, 1992. Object RecognitionNavigation/Motion/Robotics	Conferences	Manual link · Manual link
1991	Closed-loop adaptive image segmentation B. Bhanu, J. Ming and S. Lee, “Closed-loop adaptive image segmentation,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 734-735, Maui, Hawaii, June 1991. Reinforcement LearningSegmentation	Conferences	Link · Link
1991	Inertial navigation sensor integrated motion analysis for obstacle detection B. Roberts, B. Sridhar and B. Bhanu, ''Inertial navigation sensor integrated motion analysis for obstacle detection,'' Proceedings IEEE/AIAA 10th Digital Avionics Systems Conference, Los Angeles, California, October 1991, pp. 131-136, 1991. (Invited by U.S. Governmental Agencies) Video Networks/AnalysisObject RecognitionRegistration & FusionNavigation/Motion/RoboticsSensing and Control	Conferences	Link · Link
1991	Self-Optimizing Image Segmentation System Using a Genetic Algorithm B. Bhanu, S. Lee and J. Ming, “Self-optimizing image segmentation using a genetic algorithm,” Proceedings 4th International Conference on Genetic Algorithms, pp. 362-369, San Diego, California, July 1991. (Plenary Presentation) Evolutionary LearningReinforcement LearningSegmentation	International Conference on Genetic Algorithms	Link
1990	A multistrategy learning approach for target model recognition, acquisition and refinement J. Ming and B. Bhanu, ''A multistrategy learning approach for target model recognition, acquisition and refinement,'' Proceedings DARPA Image Understanding Workshop, Pittsburgh, Pennsylvania, September 1990, pp. 742-756, 1990. (Invited by U.S. Governmental Agencies) Machine LearningObject RecognitionTargets/ObjectsMiscellaneous Learning	Conferences	Legacy link
1990	Adaptive multiscenario automatic target recognition system B. Bhanu, ''Adaptive multiscenario automatic target recognition system,'' Automatic Target Recognition System and Technology Conference, Naval Surface Warfare Center, White Oak, Silver Spring, Maryland, October 1990, pp. 1-50, 1990. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/Objects	Conferences	—
1990	Image understanding research at Honeywell B. Bhanu, ''Image understanding research at Honeywell,'' Proceedings DARPA Image Understanding Workshop, Pittsburgh, Pennsylvania, September 1990, pp. 70-75, 1990. (Invited by U.S. Governmental Agencies) Image/Video Database and LearningObject Recognition	Conferences	Legacy link
1990	Inertial navigation sensor integrated motion analysis for autonomous vehicle navigation B. Roberts and B. Bhanu, ''Inertial navigation sensor integrated motion analysis for autonomous vehicle navigation,'' Proceedings DARPA Image Understanding Workshop, Pittsburgh, Pennsylvania, September 1990, pp. 364-375, 1990. (Invited by U.S. Governmental Agencies) Video Networks/AnalysisObject RecognitionTargets/ObjectsRegistration & FusionNavigation/Motion/RoboticsSensing and Control	Conferences	Link · Link
1990	Inertial navigation sensor integrated motion analysis for obstacle detection B. Bhanu, B. Roberts and J. Ming, “Inertial navigation sensor integrated motion analysis for obstacle detection,” Proceedings IEEE International Conference on Robotics and Automation, pp. 954-959, Raleigh, North Carolina, May 1990. Video Networks/AnalysisObject RecognitionRegistration & FusionNavigation/Motion/RoboticsSensing and Control	Conferences	Link · Link
1990	Motion and binocular stereo integrated system for passive ranging P. Symosek, B. Bhanu, S. Snyder and B. Bhanu, ''Motion and binocular stereo integrated system for passive ranging,'' Proceedings DARPA Image Understanding Workshop, Pittsburgh, Pennsylvania, September 1990, pp. 356-363, 1990. (Invited by U.S. Governmental Agencies) Registration & FusionNavigation/Motion/Robotics	Conferences	Legacy link
1990	Self-optimizing control system for adaptive image segmentation B. Bhanu, S. Lee, and J. Ming, ''Self-optimizing control system for adaptive image segmentation,'' Proceedings DARPA Image Understanding Workshop, Pittsburgh, Pennsylvania, September 1990, pp. 583-596, 1990. (Invited by U.S. Governmental Agencies) Reinforcement LearningSegmentationSensing and Control	Conferences	Legacy link
1989	Adaptive image segmentation using a genetic algorithm B. Bhanu, S. Lee and J. Ming, ''Adaptive image segmentation using a genetic algorithm,'' Proceedings DARPA Image Understanding Workshop, Palo Alto, California, May 1989, pp. 1043-1055, 1989. (Invited by U.S. Governmental Agencies) Evolutionary LearningReinforcement LearningSegmentation	Conferences	Link · Link
1989	Inertial navigation sensor integrated motion analysis B. Bhanu and B. Roberts, J. Ming, ''Inertial navigation sensor integrated motion analysis,'' Proceedings DARPA Image Understanding Workshop, Palo Alto, CA, May 1989, pp. 747-763, 1989. (Invited by Governmental Agencies) Video Networks/AnalysisRegistration & FusionNavigation/Motion/RoboticsSensing and Control	Conferences	Link
1989	On computing a ‘fuzzy’ focus of expansion for autonomous navigation W. Burger and B. Bhanu, “On computing a ‘fuzzy’ focus of expansion for autonomous navigation,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 563-568, San Diego, California, June 1989. Navigation/Motion/Robotics	Conferences	Link · Link
1989	Qualitative target motion detection and tracking B. Bhanu, P. Symosek, J. Ming, W. Burger, H. Nasr and J. Kim, ''Qualitative target motion detection and tracking,'' Proceedings DARPA Image Understanding Workshop, Palo Alto, California, May 1989, pp. 370-398, 1989. (Invited by U.S. Governmental Agencies) Video Networks/AnalysisTracking/Re-IdentificationObject RecognitionTargets/ObjectsNavigation/Motion/Robotics	Conferences	Link
1989	Refocused recognition of aerial photographs at multiple resolution H. Nasr, B. Bhanu, S. Lee, ''Refocused recognition of aerial photographs at multiple resolution,'' Proceedings SPIE International Conference on Aerospace Pattern Recognition, Vol. 1098, Orlando, Florida, March 1989, pp. 198-206, 1989 (Partially-Refereed). Object Recognition	Conferences	Link · Link
1989	Understanding scene dynamics B. Bhanu, ''Understanding scene dynamics,'' Proceedings DARPA Image Understanding Workshop, Palo Alto, California, May 1989, pp. 147-164, 1989. (Invited by U.S. Governmental Agencies) Object Recognition	Conferences	Link
1988	Automatic target recognition B. Bhanu, “Automatic target recognition,” IEEE Machine Vision Workshop, pp. 1-35, University of Michigan, June 1988. (Invited Contribution) Keynote Talk. Object RecognitionTargets/Objects	Conferences	—
1988	Cognitive modeling based knowledge acquisition for photointerpretation V. Shalin, J. Bloomfield, B. Bhanu and C. Shelton, ''Cognitive modeling based knowledge acquisition for photointerpretation,'' 6th Annual Intelligence Community AI Symposium, Washington, DC, October 1988, pp. 1-30, 1988. (Invited by U.S. Governmental Agencies) Object Recognition	Conferences	—
1988	Dynamic model matching for target recognition from a mobile platform H. Nasr and B. Bhanu, ''Dynamic model matching for target recognition from a mobile platform,'' Proceedings DARPA Image Understanding Workshop, Cambridge, Massachusetts, April 1988, pp. 527-536, 1988. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/ObjectsRegistration & FusionNavigation/Motion/Robotics	Conferences	Legacy link
1988	Dynamic scene understanding for autonomous mobile robots W. Burger and B. Bhanu, “Dynamic scene understanding for autonomous mobile robots,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 736-741, Ann Arbor, Michigan, June 1988. Object RecognitionNavigation/Motion/Robotics	Conferences	Link · Link
1988	Landmark recognition for autonomous mobile robots H. Nasr and B. Bhanu, “Landmark recognition for autonomous mobile robots,” Proceedings IEEE International Conference on Robotics and Automation, pp. 1218-1223, Philadelphia, Pennsylvania, April 1988. Object RecognitionNavigation/Motion/Robotics	Conferences	Link · Link
1988	Machine learning for model acquisition and refinement B. Bhanu and J. Ming, ''Machine learning for model acquisition and refinement,'' 6th Annual Intelligence Community AI Symposium, Washington, DC, October 1988, pp. 31-60, 1988. (Invited by U.S. Governmental Agencies) Machine LearningMiscellaneous Learning	Conferences	—
1988	Qualitative motion detection and tracking of targets from a mobile platform B. Bhanu and W. Burger, ''Qualitative motion detection and tracking of targets from a mobile platform,'' Proceedings DARPA Image Understanding Workshop, Cambridge, Massachusetts, April 1988, pp. 289-318, 1988. (Invited by U.S. Governmental Agencies) Video Networks/AnalysisTracking/Re-IdentificationObject RecognitionTargets/ObjectsNavigation/Motion/Robotics	Conferences	Legacy link
1988	Qualitative reasoning and modeling for robust target tracking and recognition from a mobile platform B. Bhanu and D. Panda, ''Qualitative reasoning and modeling for robust target tracking and recognition from a mobile platform,'' Proceedings DARPA Image Understanding Workshop, Cambridge, Massachusetts, April 1988, pp. 96-102, 1988. (Invited by U.S. Governmental Agencies) Video Networks/AnalysisTracking/Re-IdentificationObject RecognitionTargets/ObjectsNavigation/Motion/Robotics	Conferences	Legacy link
1988	TRIPLE: A multi-strategy machine learning approach to target recognition B. Bhanu and J. Ming, ''TRIPLE: A multi-strategy machine learning approach to target recognition,'' Proceedings DARPA Image Understanding Workshop, Cambridge, Massachusetts, April 1988, pp. 537-547, 1988. (Invited by U.S. Governmental Agencies) Machine LearningObject RecognitionTargets/ObjectsMiscellaneous Learning	Conferences	Legacy link
1987	CAD based robotics T. Henderson, E. Weitz, C. Hansen, R. Grupen, C. C. Ho and B. Bhanu, “CAD based robotics,” Proceedings IEEE International Conference on Robotics and Automation, pp. 631-635, Raleigh, North Carolina, March 1987. (Invited Contribution) Navigation/Motion/Robotics	Conferences	Link · Link
1987	CAOS: A hierarchical robot control system B. Bhanu, N. Thune and M. Thune, “CAOS: A hierarchical robot control system,” Proceedings IEEE International Conference on Robotics and Automation, pp. 1603-1608, Raleigh, North Carolina, March 1987. (Invited Contribution) Navigation/Motion/RoboticsSensing and Control	Conferences	Link · Link
1987	DRIVE - dynamic reasoning from integrated visual evidence B. Bhanu and W. Burger, ''DRIVE - dynamic reasoning from integrated visual evidence,'' Proceedings DARPA Image Understanding Workshop, Los Angeles, California, February 1987, pp. 581-588, 1987. (Invited by U.S. Governmental Agencies) Registration & Fusion	Conferences	Legacy link
1987	Estimation of image motion using wavefront region growing B. Bhanu and W. Burger, “Estimation of image motion using wavefront region growing,” Proceedings 1st International Conference on Computer Vision, pp. 428-432, London, United Kingdom, June 1987. SegmentationPredictionNavigation/Motion/Robotics	Conferences	Legacy link
1987	Guiding an autonomous land vehicle using knowledge-based landmark recognition Nasr, B. Bhanu and S. Schaffer, ''Guiding an autonomous land vehicle using knowledge-based landmark recognition,'' Proceedings DARPA Image Understanding Workshop, Los Angeles, California, February 1987, pp. 432-439, 1987. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/ObjectsNavigation/Motion/Robotics	Conferences	Legacy link
1987	Honeywell progress on knowledge-based robust target recognition and tracking B. Bhanu, D. Panda and R. Aggarwal, ''Honeywell progress on knowledge-based robust target recognition and tracking,'' Proceedings DARPA Image Understanding Workshop, Los Angeles, California, February 1987, pp. 122-126, 1987. (Invited by U.S. Governmental Agencies) Video Networks/AnalysisTracking/Re-IdentificationObject RecognitionTargets/Objects	Conferences	Legacy link
1987	Interpretation of terrain using hierarchical symbolic grouping for multi-spectral images B. Bhanu and P. Symosek, ''Interpretation of terrain using hierarchical symbolic grouping for multi-spectral images,'' Proceedings DARPA Image Understanding Workshop, Los Angeles, California, February 1987, pp. 466-474, 1987. (Invited by U.S. Governmental Agencies) Object Recognition	Conferences	Legacy link
1987	Knowledge-based analysis of scene dynamics for an autonomous land vehicle B. Bhanu, H. Nasr, P. Symosek, W. Burger, M. Gluch, D. Panda, ''Knowledge-based analysis of scene dynamics for an autonomous land vehicle,'' Proceedings 14th Annual Technical Symposium Association of Unmanned Vehicle Systems, AUVS-87, Washington DC, July 1987, 16 pages, 1987 (Partially-Refereed). Object RecognitionTargets/ObjectsNavigation/Motion/Robotics	Conferences	Legacy link
1987	Knowledge-based robot control on a multiprocessor in a multisensor environment B. Bhanu and N. Thune, “Knowledge-based robot control on a multiprocessor in a multisensor environment,” Proceedings 2nd International Conference on Robotics and Factories of the Future, San Diego, California, July 28-31, 1987. Navigation/Motion/RoboticsSensing and Control	Conferences	Legacy link
1987	Knowledge-based robust target recognition and tracking B. Bhanu and D. Panda, “Knowledge-based robust target recognition and tracking,” Proceedings AI Technology Symposium, pp. 1-8, Honeywell Systems and Research Center, Minneapolis, Minnesota, June 9, 1987. Video Networks/AnalysisTracking/Re-IdentificationObject RecognitionTargets/Objects	Conferences	Legacy link
1987	Landmark recognition for autonomous land vehicle navigation H. Nasr, B. Bhanu and S. Schaffer, “Landmark recognition for autonomous land vehicle navigation,” Proceedings AI Technology Symposium, pp. 31-65, Honeywell Systems and Research Center, Minneapolis, Minnesota, June 9, 1987. Object RecognitionTargets/ObjectsNavigation/Motion/Robotics	Conferences	Legacy link
1987	Object recognition for terminal homing B. Bhanu, ''Object recognition for terminal homing,'' DARPA Object Recognition Workshop, Santa Cruz, California, March 1987, pp. 1-40, 1987. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/Objects	Conferences	—
1987	Qualitative motion understanding W. Burger and B. Bhanu, “Qualitative motion understanding,” Proceedings 10th International Joint Conference on Artificial Intelligence (IJCAI-87), pp. 819-821, Milan, Italy, August 1987. Navigation/Motion/Robotics	Conferences	Link · Link
1986	CAD based 3-D models for computer vision B. Bhanu, C. C. Ho, S. Lee, ''CAD based 3-D models for computer vision,'' Proceedings IEEE International Conference on Systems, Man, and Cybernetics, Atlanta, Georgia, October 1986, pp. 1002-1006, 1986 (Partially-Refereed). 3D	Conferences	Legacy link
1986	CAGD based 3-D visual recognition T. Henderson, C. Hansen, A. Samal, C. C. Ho and B. Bhanu, “CAGD based 3-D visual recognition,” Proceedings 8th International Conference on Pattern Recognition, pp. 230-232, Paris, France, October 1986. Object Recognition3D	International Conference on Pattern Recognition	Link
1986	Clustering based recognition of occluded objects B. Bhanu and J. Ming, “Clustering based recognition of occluded objects,” Proceedings 8th International Conference on Pattern Recognition, pp. 732-734, Paris, France, October 1986. Object RecognitionTargets/Objects	Conferences	Legacy link
1986	Computer aided geometric design based 3-D models for machine vision B. Bhanu and C. C. Ho, “Computer aided geometric design based 3-D models for machine vision,” Proceedings 8th International Conference on Pattern Recognition, pp. 107-110, Paris, France, October 1986. 3D	Conferences	Legacy link
1986	Hierarchical robot control in a multisensor environment B. Bhanu, N. Thune, J. K. Lee, M. Thune, ''Hierarchical robot control in a multisensor environment,'' Proceedings SPIE Conference Intelligent Robots and Computer Vision, Vol. 726, Cambridge, Massachusetts, October 1986, pp. 453-461, 1986 (Partially-Refereed). Navigation/Motion/RoboticsSensing and Control	Conferences	Link · Link
1986	Intrinsic characteristics as the interface between CAD and machine vision systems T. Henderson, C. Hansen and B. Bhanu, “Intrinsic characteristics as the interface between CAD and machine vision systems,” Proceedings NATO Advanced Summer Institute (ASI) Workshop, Belgium, June 1986. Object Recognition	Conferences	Link · Link
1986	Range data processing: Representation of surfaces by edges B. Bhanu, S. Lee, C. C. Ho and T. Henderson, “Range data processing: Representation of surfaces by edges,” Proceedings 8th International Conference on Pattern Recognition, pp. 236-238, Paris, France, October 1986. Navigation/Motion/Robotics	Conferences	Link
1986	Recognition of occluded objects: A cluster-structure paradigm B. Bhanu and J. Ming, “Recognition of occluded objects: A cluster-structure paradigm,” Proceedings IEEE International Conference on Robotics and Automation, pp. 776-781, San Francisco, California, April 7-10, 1986. Object RecognitionTargets/Objects	Conferences	Link · Link
1985	3-D model building using CAGD techniques B. Bhanu, T. Henderson, and S. Thomas, “3-D model building using CAGD techniques,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 234-239, San Francisco, California, June 9-13, 1985. 3D	Conferences	Legacy link
1985	A framework for distributed sensing and control T. Henderson, C. Hansen and B. Bhanu, “A framework of distributed sensing and control,” Proceedings 9th International Joint Conference on Artificial Intelligence (IJCAI-85), pp. 1106-1109, Los Angeles, California, August 18-23, 1985. Sensing and Control	Proceedings of the Ninth International Joint Conference on Artificial Intelligence	Link
1985	CAGD based 3-D vision B. Bhanu and T. Henderson, “CAGD based 3-D vision,” Proceedings IEEE International Conference on Robotics and Automation, pp. 411-417, St. Louis, Missouri, March 1985. (Invited Contribution) 3D	Conferences	Link · Link
1985	I’Analyse visuelle base sur le dessin geometrique assiste par ordinateur T. Henderson, B. Bhanu, S. Thomas, ''I’Analyse visuelle base sur le dessin geometrique assiste par ordinateur,'' Proceedings IASTED International Conference Computer Aided Design and Applications, Paris, France, June 1985, pp. 93-95, 1985 (Partially-Refereed). Object Recognition	Conferences	Legacy link
1985	The synthesis of logical sensor specifications T. Henderson, C. Hansen, B. Bhanu, ''The synthesis of logical sensor specifications,'' Proceedings SPIE Conference on Intelligent Robots and Computer Vision, Vol. 579, Cambridge, Massachusetts, September 1985, pp. 442-445, 1985 (Partially-Refereed). Sensing and Control	Conferences	Link · Link
1985	Vision analysis using computer aided geometric models B. Bhanu, T. Henderson and S. Thomas, “Vision analysis using computer aided geometric models,” Proceedings International Conference on CAD/CAM, Robotics and Automation, pp. 243-246, Tucson, Arizona, February 1985. (Keynote Presentation) Object Recognition	Conferences	Legacy link
1984	ASP: An algorithm and sensor performance evaluation system T. Henderson, C. Hansen, B. Bhanu and E. Shilcrat, “ASP: An algorithm and sensor performance evaluation system,” Proceedings 9th Pecora Memorial Remote Sensing Symposium, pp. 201-207, Sioux Falls, South Dakota, October 2-4, 1984. Sensing and Control	Conferences	Legacy link
1984	Distributed control in multi-sensor kernel system T. Henderson, B. Bhanu, C. Hansen, ''Distributed control in multi-sensor kernel system,'' Proceedings SPIE Conference on Intelligent Robots and Computer Vision, Vol. 521, Cambridge, Massachusetts, November 1984, pp. 253-255, 1984 (Partially-Refereed). Registration & FusionSensing and Control	Conferences	Link · Link
1984	Model based segmentation of FLIR images B. Bhanu, R. Holben, ''Model based segmentation of FLIR images,'' Proceedings SPIE Conference on Applications of Digital Image Proceedings VII, Vol. 504, San Diego, California, August 1984, pp. 10-18, 1984 (Partially-Refereed). Segmentation	Conferences	Link · Link
1983	Evaluation of Automatic Target Recognition Algorithms B. Bhanu, ''Evaluation of automatic target recognition algorithms,'' Proceedings SPIE Conference on Architecture and Algorithms for Digital Image Proceedings, Vol. 435, San Diego, California, August 1983, pp. 18-27, 1983 (Partially-Refereed). Object RecognitionTargets/Objects	Conferences	Link
1983	Image processing for automatic target recognition and intelligent autocueing of tactical targets B. Bhanu, “Image processing for automatic target recognition and intelligent autocueing of tactical targets,” Proceedings Technology. Transfer Society Conference on Signal and Image Processing - The Next 10 Years, pp. 1-50, Los Angeles, California, November 10-11, 1983. Also San Francisco, California, November 14-15, 1983. (Invited Contribution) Object RecognitionTargets/ObjectsSensing and Control	Conferences	—
1983	Intelligent auto cueing of tactical targets B. Bhanu, T. Politopoulos, B. Parvin, ''Intelligent auto cueing of tactical targets,'' Proceedings SPIE Conference on Architecture and Algorithms for Digital Image Proceedings, Vol. 435, San Diego, California, August 1983, pp. 90-97, 1983 (Partially-Refereed). Object RecognitionTargets/ObjectsSensing and Control	Conferences	Legacy link
1983	Intelligent auto cueing of tactical targets in FLIR images B. Bhanu, T. Politopoulos and B. A. Parvin, “Intelligent auto cueing of tactical targets in FLIR images,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 502-503, Washington, DC, June 19-23, 1983. Object RecognitionTargets/ObjectsSensing and Control	Conferences	Legacy link
1983	Recognition of occluded objects B. Bhanu, “Recognition of occluded objects,” Proceedings 8th International Joint Conference on Artificial Intelligence, pp. 1136-1138, IJCAI-83, Karlsruhe, West Germany, August 8-12, 1983. Object RecognitionTargets/Objects	Conferences	Link
1983	Segmentation of images using a relaxation technique B. Parvin and B. Bhanu, “Segmentation of images using a relaxation technique,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 151-153,s Washington, DC, June 19-23, 1983. Segmentation	Conferences	Legacy link
1982	A multi-sensor, multi-mode tracker approach to missile ship targeting D. Dorrough, B. Bhanu, V. Pizzurro, J. Pasek, ''A multi-sensor, multi-mode tracker approach to missile ship targeting,'' Proceedings Workshop Missile Ship Targeting, Washington, DC, August 1982, pp. 1-40, 1982. (Invited by U.S. Governmental Agencies) Object RecognitionTargets/ObjectsRegistration & FusionSensing and Control	Conferences	Legacy link
1982	Computation of two-dimensional complex cepstrum B. Bhanu, “Computation of two-dimensional complex cepstrum,” Proceedings 7th International Conference on Acoustics, Speech and Signal Processing, pp. 140-143, Paris, France, May 3-5, 1982. Cepstrum	Conferences	Link · Link
1982	Segmentation of images using a gradient relaxation technique B. Bhanu, “Segmentation of images using a gradient relaxation technique,” Proceedings 6th International Conference on Pattern Recognition, pp. 915-917, Munich, West Germany, October 19-22, 1982. Segmentation	Conferences	Legacy link
1982	Shape matching of 2-D objects using a hierarchical stochastic labeling technique B. Bhanu and O. Faugeras, “Shape matching of 2-D objects using a hierarchical stochastic labeling technique,” Proceedings IEEE Conference on Pattern Recognition and Image Processing, pp. 688-690, Las Vegas, Nevada, June 13-17, 1982. Object RecognitionTargets/ObjectsRegistration & Fusion	Conferences	Legacy link
1982	Shape matching of two-dimensional occluded objects B. Bhanu, “Shape matching of two-dimensional occluded objects,” Proceedings 6th International Conference on Pattern Recognition, pp. 742-744, Munich, West Germany, October 19-22, 1982. Object RecognitionTargets/ObjectsRegistration & Fusion	Conferences	Link · Link
1982	Surface representation and shape matching of 3-D objects B. Bhanu, “Surface representation and shape matching of 3-D objects,” Proceedings IEEE Conference on Pattern Recognition and Image Processing, pp. 349-354, Las Vegas, Nevada, June 13-17, 1982. Object RecognitionTargets/ObjectsRegistration & Fusion3D	Conferences	Link · Link
1982	Three point seed method for the extraction of planar faces from range data T. Henderson and B. Bhanu, “Three point seed method for the extraction of planar faces from range data,” Proceedings IEEE International Conference on Industrial Applications of Machine Vision, pp. 181-186, Raleigh, North Carolina, May 3-5, 1982. Face/IrisNavigation/Motion/Robotics	Conferences	Legacy link
1981	Recognition of occluded two-dimensional objects B. Bhanu and O. Faugeras, “Recognition of occluded two-dimensional objects,” Proceedings 2nd Scandinavian Conference on Image Analysis, pp. 72-77, Helsinki, Finland, June 15-17, 1981. Object RecognitionTargets/Objects	Conferences	Legacy link
1981	Reconnaissance de formes planes par une methode hierarchique d’etiquetage probabiliste O. Faugeras and B. Bhanu, “Reconnaissance de formes planes par une methode hierarchique d’etiquetage probabiliste,” Proceedings AFCET. 3eme Congres, Reconnaissance des Formes et Intelligence Artificielle, pp. 425-435, Nancy, France, September 16-18, 1981. Object Recognition	Conferences	Legacy link
1976	Design and fabrication of a general purpose digital instrumentation system B. Bhanu and L.K. Maheshwari, “Design and fabrication of a general purpose digital instrumentation system,” Proceedings IETE Symposium on Electronic Instrumentation and Measurement, page 1-12, Bangalore, India, 1976. Sensing and Control	Conferences	—

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