VisLab · Publications

Journals

Compact publication table for the VisLab archive.

200 publications

41 topics

Journals

200 publications

Year	Publication	Venue	Links
2026	Latent diffusion-guided occluded person re-Identification with hybrid re-ranking P. Dutta and B. Bhanu, “Latent diffusion-guided occluded person re-Identification with hybrid re-ranking,” IEEE Transactions on Circuits and Systems for Video Technology Accepted April 1, 2026. 14 Transactions Pages plus 9 pages of Supplemental Material. BiometricsTracking/Re-IdentificationRegistration & Fusion	IEEE Transactions on Circuits and Systems for Video Technology	Link · Link
2026	Lightweight and efficient crowd counting and localization in diverse low-visibility conditions B. Yao, Z. Li, W. Yuan, B. Bhanu, R. Ke, Z. Chen and X. Xie, “Lightweight and efficient crowd counting and localization in diverse low-visibility conditions,” Pattern Recognition, 177, 113339, 2026, 14 journal pages, 6 pages of supplemental material. Super-ResolutionObject Recognition	Pattern Recognition	Link · Link
2026	Towards generative understanding: Incremental few-shot semantic segmentation with diffusion models Q. Li, L. Huang, F. Xiao, N. Zhao and B. Bhanu, “Towards generative understanding: Incremental few-shot semantic segmentation with diffusion models,” IEEE Transactions on Image Processing, Vol. 35, pp. 743-758, January 14, 2026,16 Transactions Pages. Semantics, Retrieval, VQAMachine LearningDeep/Online LearningConcept/Active LearningSegmentationRegistration & Fusion	IEEE Transactions on Image Processing	Link · Link
2025	Low-visibility scene enhancement by isomorphic dual-branch framework with attention learning Z. Li, W. Kuang, B. Bhanu , Y. Deng, Y. Chen, K. Xu, “Low-visibility scene enhancement by isomorphic dual-branch framework with attention learning,” IEEE Transactions on Intelligent Systems (TITS), January 2025. Super-ResolutionMachine LearningObject RecognitionMiscellaneous Learning	IEEE Transactions on Intelligent Systems (TITS)	Link · Link
2025	Masked Graph Attention network for classification of facial micro-expression A.J.R. Kumar and B. Bhanu , “Masked Graph Attention network for classification of facial micro-expression,” Image and Vision Computing, May, 2025, 17 Journal pages. Face/IrisExpressions/EmotionsMachine LearningObject Recognition	Image and Vision Computing	Link · Link
2025	Micro-Expression Classification With Weighted Locally Constrained Graph Network A.J.R. Kumar and B. Bhanu, “Micro-expression classification with weighted locally constrained graph network,” IEEE Transactions on Biometrics, Behavior, and Identity Science, Vol. 14, No. 8, August 2025, 15 Transactions pages. Expressions/EmotionsMachine LearningObject Recognition	IEEE Transactions on Biometrics, Behavior, and Identity Science	Link · Link
2025	Novel unified body-based biometric for clothing invariant human recognition P. Jonnalagedda and B. Bhanu, “Novel unified body-based biometric for clothing invariant human recognition,” IEEE Transactions on Biometrics, Behavior, and Identity Science, Vo. 8, No. 2, pp. 270-284, March 2026, 15 Transactions pages and 2 pages of supplemental material. BiometricsObject Recognition	IEEE Transactions on Biometrics, Behavior, and Identity Science	Link · Link
2025	PE-ViT: Parameter-efficient vision transformer with dimension-adaptive experts and economical attention Q. Li, J. He, T. Guo, X. Gao and B. Bhanu, “PE-ViT: Parameter-efficient vision transformer with dimension-adaptive experts and economical attention,” Pattern Recognition Letters, Published Dec. 25, 2025, 7 Journal Pages. Machine LearningDeep/Online Learning	Pattern Recognition Letters	Link · Link
2025	POANET – Parts-based occlusion aware network for person Re-ID P. Dutta, P. Jonnalagedda and B. Bhanu, “POANET – Parts-based occlusion aware network for person Re-ID,” IEEE Transactions on Biometrics, Behavior, and Identity Science, Vol. 8, No. 2, pp. 218-231, March 2026. 14 Transactions pages and five pages of supplemental material. Tracking/Re-Identification	IEEE Transactions on Biometrics, Behavior, and Identity Science	Link · Link
2025	Reliable image super-resolution using dual-teacher knowledge distillation Z. Li, W. Yuan, B. Yao, Y. Chen, B. Bhanu and K. Zhang, “Reliable image super-resolution using dual-teacher knowledge distillation, Knowledge-Based Systems, 333, 114843,17 Journal Pages, 30 January 2026. Super-Resolution	Knowledge-Based Systems	Link · Link
2025	Sampling conformational ensembles of highly dynamic proteins via generative deep learning T. Ruzmetov, T. I. Hung, S.P. Jonnalagedda, S-h. Chen, P. Fasihianifard, Z. Guo, B. Bhanu and Chia-en. Chang, “Sampling conformational ensembles of highly dynamic proteins via generative deep learning,” Journal of Chemical Information and Modeling, 65, pp. 2487−2502, 2025. 16 Journal Pages, Accepted 2/5/2025. Machine LearningDeep/Online LearningMiscellaneous Learning	Journal of Chemical Information and Modeling	Link · Link
2025	Spatial-temporal multi-scale interaction for few-shot video summarization Q.. Li, Z. Zhan, Y. Li and B. Bhanu , “Spatial-temporal multi-scale interaction for few-shot video summarization,” Engineering Applications of Artificial Intelligence, December 13, 2024, 142 (2025) 109883. Video Networks/AnalysisMachine LearningDeep/Online LearningConcept/Active Learning	Engineering Applications of Artificial Intelligence	Link · Link
2025	TSMnet: Two-step separation pipeline based on threshold shrinkage memory network for weakly-supervised video anomaly detection Q. Li, P. Gu, X. Gao and B. Bhanu, “TSMnet: Two-step separation pipeline based on threshold shrinkage memory network for weakly-supervised video anomaly detection,” Pattern Recognition Letters, 199, pp. 13-20, 2026, 8 Journal Pages. Video Networks/AnalysisObject Recognition	Pattern Recognition Letters	Link · Link
2024	A comprehensive radiogenomic feature characterization of 19/20 co-gain in Glioblastoma P. Jonnalagedda, B. Weinberg, T. Min, S. Bhanu and B. Bhanu , “A comprehensive radiogenomic feature characterization of 19/20 co-gain in Glioblastoma,” IEEE Transactions on Artificial Intelligence, August, 2024, 15 Transactions pages plus 9 pages of supplemental material. Video BioinformaticsPlant & Cancer CellsBrain	IEEE Transactions on Artificial Intelligence	Link · Link
2024	Co-GZSL: Feature contrastive optimization for generalized zero-shot learning Q. Li, Z. Zhan, Y. Shen and B. Bhanu , “Co-GZSL: Feature contrastive optimization for generalized zero-shot learning,” Neural Processing Letters, Springer, 2024 Machine LearningDeep/Online LearningConcept/Active LearningMiscellaneous Learning	Neural Processing Letters	Link · Link
2024	Computational modeling of tumor invasion from limited and diverse data in Glioblastoma P. Jonnalagedda, B. Weinberg, T. Min, S. Bhanu and B. Bhanu , “Computational modeling of tumor invasion from limited and diverse data in Glioblastoma,” Computerized Medical Imaging and Graphics, Accepted September, 2024, 19 Journal pages plus 5 pages of supplemental material. Video BioinformaticsPlant & Cancer CellsBrain	Computerized Medical Imaging and Graphics	Link · Link
2024	Iterative pseudo balancing for stem cell microscopy image classification A. Witmer and B. Bhanu , “Iterative pseudo balancing for stem cell microscopy image classification,” Nature Scientific Reports, 2024. Video BioinformaticsStem CellsMachine LearningObject Recognition	Nature Scientific Reports	Link · Link
2024	PS-CoT-Adapter: Adapting plan-and-solve chain-of-thought for ScienceQA Q. Li, H. Sun, F. Xiao, Y. Wang, X. Gao and B. Bhanu , “PS-CoT-Adapter: Adapting plan-and-solve chain-of-thought for ScienceQA,,” SCIENCE CHINA Information Sciences, October 28, 2024. Object Recognition	SCIENCE CHINA Information Sciences	Link · Link
2024	RepSGG: Novel representations of entities and relationships for scene graph generation H. Liu and B. Bhanu , “RepSGG: Novel representations of entities and relationships for scene graph generation,” IEEE Transactions on Pattern Analysis and Machine Intelligence. May 2024 Semantics, Retrieval, VQAObject RecognitionTargets/Objects	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link · Link
2024	Searching for life: End-to-end automated detection and characterization of Ediacaran biosignatures P. Jonnalagedda, R.L. Surprenant, M. L. Droser and B. Bhanu , “Searching for life: End-to-end automated detection and characterization of Ediacaran biosignatures,” IEEE Transactions on Geoscience and Remote Sensing, 2024. Video BioinformaticsObject Recognition	IEEE Transactions on Geoscience and Remote Sensing	Link · Link
2023	Energy-motion features aggregation network for players’ fine grained action analysis in soccer videos R. Li and B. Bhanu , “Energy-motion features aggregation network for players’ fine grained action analysis in soccer videos,” IEEE Transactions on Circuits and Systems for Video Technology, June 6, 2023, 17 Transactions pages. Video Networks/AnalysisNavigation/Motion/Robotics	IEEE Transactions on Circuits and Systems for Video Technology	Link · Link
2023	Face synthesis with a focus on facial attributes translation using attention mechanisms R. Li, T. Fontanini, A. Prati and B. Bhanu , “Face synthesis with a focus on facial attributes translation using attention mechanisms,” IEEE Transactions on Biometrics, Behavior, and Identity Science, Vol. 5, No. 1, pp. 76-90, 15 Transactions pages plus 2 pages of supplemental material, January 2023. Face/IrisMachine Learning	IEEE Transactions on Biometrics, Behavior, and Identity Science	Link · Link
2023	Lite-FENet: Lightweight multi-scale feature enrichment network for few-shot segmentation Q. Li, B. Sun and B. Bhanu , “Lite-FENet: Lightweight multi-scale feature enrichment network for few-shot segmentation,” Knowledge-based Systems, 278(2023)110887. Machine LearningDeep/Online LearningConcept/Active LearningSegmentation	Knowledge-based Systems	Link · Link
2023	MonoIndoor++: Towards better practice of self-supervised monocular depth estimation for indoor environments R. Li, P. Ji, Y. Xu and B. Bhanu , “MonoIndoor++: Towards better practice of self-supervised monocular depth estimation for indoor environments,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 33, No. 2, pp. 830-846, 17 Transactions Pages, February 2023. Machine LearningPrediction3D	IEEE Transactions on Circuits and Systems for Video Technology	Link · Link
2023	RECLIP: Resource-efficient CLIP by training with small images R. Li, D. Kim, B. Bhanu and W. Kuo, “RECLIP: Resource-efficient CLIP by training with small images,” Transactions on Machine Learning Research (TMLR), August 2023. 16 Pages. Object Recognition	Transactions on Machine Learning Research (TMLR)	Manual link
2023	Triplet-net classification of contiguous stem cell microscopy images A. Witmer, R. Theagarajan and B. Bhanu , “Triplet-net classification of contiguous stem cell microscopy images,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(3): 2314-2327, May/June 2023. 14 Transactions Pages. Video BioinformaticsStem CellsMachine LearningObject Recognition	IEEE/ACM Transactions on Computational Biology and Bioinformatics	Link · Link
2023	Unbiased spatio-temporal representation with uncertainty control for person re-identification X. Zhang and B. Bhanu , “Unbiased spatio-temporal representation with uncertainty control for person re-identification,” IEEE Transactions on Cognitive and Developmental Systems, Vol. 15, No. 2, pp. 530-543,14 Transactions Pages, June 2023. BiometricsTracking/Re-IdentificationPredictionSensing and Control	IEEE Transactions on Cognitive and Developmental Systems	Manual link
2022	A machine learning-based ensemble framework for forecasting PM2.5 concentrations in Puli, Taiwan P.Y. Yin, A.Y. Yen, S-En. Chao, R-F. Day and B. Bhanu, “A machine learning-based ensemble framework for forecasting PM2.5 concentrations in Puli, Taiwan,” Applied Sciences, Vol. 12, No. 5, Article 2484, February 27, 2022. Machine LearningPredictionMiscellaneous Learning	Applied Sciences	Link · Link
2022	Attention-based anomaly detection in multi-view surveillance videos Q. Li, R. Yang, F. Xiao, B. Bhanu and F. Zhang, “Attention-based anomaly detection in multi-view surveillance videos,” Knowledge-Based Systems, 252, 2022, 109348. 11 Journal Pages, June 24, 2022. Video Networks/AnalysisMachine LearningObject Recognition	Knowledge-Based Systems	Link · Link
2022	Data Assimilation Network for Generalizable Person Re-Identification Y. Liu, Y. Zhang, B. Bhanu, S. Coleman and D. Kerr, “Data Assimilation Network for Generalizable Person Re-Identification,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 32, No. 8, pp. 5536-5550, August 2022. Video Networks/AnalysisTracking/Re-IdentificationBiometrics	IEEE Transactions on Circuits and Systems for Video Technology	Link · Link
2022	Dynamically throttleable neural networks H. Liu, S. Parajuli, J. Hostetler, S. Chai and B. Bhanu , “Dynamically throttleable neural networks,” ” Machine Vision and Applications, 33:59, 20 Journal pages, July 2022. Machine LearningDeep/Online Learning	Machine Vision and Applications	Link · Link
2022	JEDE: Universal jersey number detector for sports H. Liu and B. Bhanu , “JEDE: Universal jersey number detector for sports,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 32, Issue 11, pp. 7894-7909, 16 Transactions Pages, November 2022. Object Recognition	IEEE Transactions on Circuits and Systems for Video Technology	Link · Link
2021	An automated system for generating tactical performance statistics for individual soccer players from videos R. Theagarajan, and B. Bhanu , “An automated system for generating tactical performance statistics for individual soccer players from videos,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 31, Issue 2, pp. 632-646, February 2021. Video Networks/Analysis	IEEE Transactions on Circuits and Systems for Video Technology	Link · Link
2021	Generative adversarial networks for morphological-temporal classification of stem cell images A. Witmer and B. Bhanu , “Generative adversarial networks for morphological-temporal classification of stem cell images,” Sensors 22, No. 1:206, 26 journal pages, Published 12/2021. Video BioinformaticsStem CellsSecurity and BiometricsMachine LearningDeep/Online LearningObject RecognitionTargets/Objects	Sensors 22	Link · Link
2021	hESC classification: random network with autoencoded feature extractor X. Guan, B. Bhanu , R. Theagarajan, H. Liu, P. Talbot and N. Weng, “hESC classification: random network with autoencoded feature extractor,” SPIE Journal on Biomedical Optics, Special Issue on Artificial Intelligence and Machine Learning in Biomedical Optics, 2021. Video BioinformaticsStem CellsMachine LearningDeep/Online LearningObject Recognition	SPIE Journal on Biomedical Optics	Legacy link
2021	Inner knowledge-based Img2Doc scheme for visual question answering Q. Li, F. Xiao, B. Bhanu , B. Sheng and R. Hong, “Inner knowledge-based Img2Doc scheme for visual question answering,” ACM Transactions on Multimedia Computing and Communications Applications, 21 transactions Pages, Accepted 2021. Video Networks/AnalysisSemantics, Retrieval, VQA	ACM Transactions on Multimedia Computing and Communications Applications	Link · Link
2021	Lightweight and efficient image dehazing network guided by transmission estimation from real-world hazy scenes Z. Li, J. Zhang, R. Zhong, B. Bhanu , Y. Chen, Q. Zhang, and H. Tang “Lightweight and efficient image dehazing network guided by transmission estimation from real-world hazy scenes,” Sensors, 2021, 21, 960, February 1, 2021. Super-ResolutionObject RecognitionPrediction	Sensors	Link · Link
2021	Multi-level cross-view consistent feature learning for person re-identification Y. Liu, Y. Zhang, B. Bhanu , S. Coleman and D. Kerr, “Multi-level cross-view consistent feature learning for person re-identification,” Neurocomputing, 435, pp. 1-14, 2021 BiometricsTracking/Re-IdentificationMachine LearningRegistration & FusionMiscellaneous Learning	Neurocomputing	Link · Link
2021	Privacy preserving defense for black box classifiers against on-line adversarial attacks R. Theagarajan and B. Bhanu , “Privacy preserving defense for black box classifiers against on-line adversarial attacks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, , 18 pages plus 6 pages of sup. material. Accepted 2021. Video Networks/AnalysisSecurity and BiometricsMachine LearningObject RecognitionTargets/Objects	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link · Link
2021	Video-based calcification assay: A novel method for kinetic analysis of osteogenesis in live cultures I. Martinez, B. Bhanu and N. zur Nieden, “Video-based calcification assay: A novel method for kinetic analysis of osteogenesis in live cultures,” MethodsX, 8 (2021) 101265, 10 journal pages, February 4, 2021. Video BioinformaticsVideo Networks/Analysis	MethodsX	Link · Link
2020	A new patch selection method based on parsing and saliency detection for person re-identification Y. Liu, Y. Zhang, S. Coleman, B. Bhanu, and S. Liu, “A new patch selection method based on parsing and saliency detection for person re-identification,” Neurocomputing, Vol. 374, pp. 86-99, January 2020. BiometricsTracking/Re-IdentificationObject Recognition	Neurocomputing	Link · Link
2020	Integrating deep learning-based data driven and model-based approaches for ISAR target recognition R. Theagarajan, B. Bhanu , T. Erpek, Y-K. Hue, R. Schwieterman, K. Davaslioglu, Y. Shi, Y.E. Sagduyu, “Integrating deep learning-based data driven and model-based approaches for ISAR target recognition,” . Optical Engineering, Special Issue on Machine Learning in Optics, Vol. 59 (5), May 2020. Machine LearningDeep/Online LearningObject RecognitionTargets/ObjectsMiscellaneous Learning	Optical Engineering	Link · Link
2020	Physical Features and Deep Learning-based Appearance Features for Vehicle Classification from Rear View Videos R. Theagarajan, N.S. Thakoor and B. Bhanu, “Physical Features and Deep Learning-based Appearance Features for Vehicle Classification from Rear View Videos,” IEEE Transactions on Intelligent Transportation Systems, Vol. 21, No. 3, pp. 1096-1108, March 2020. Object RecognitionTargets/ObjectsVideo Networks/AnalysisMachine LearningDeep/Online LearningMiscellaneous Learning	IEEE Transactions on Intelligent Transportation Systems	Link · Link
2019	DeephESC 2.0: Deep generative multi adversarial networks for improving the classification of hESC R. Theagarajan and B. Bhanu , “DeephESC 2.0: Deep generative multi adversarial networks for improving the classification of hESC,” Plos One, (in Press) Video BioinformaticsStem CellsSecurity and BiometricsMachine LearningDeep/Online LearningObject RecognitionTargets/Objects	Plos One	Link · Link
2019	Ensemble learning of model hyperparameters and spatiotemporal data for calibration of low-cost PM2.5 sensors P-Y. Yin, C-C. Tsai, R-F. Day, C-Y. Tung and B. Bhanu , “Ensemble learning of model hyperparameters and spatiotemporal data for calibration of low-cost PM2.5 sensors,” Mathematical Biosciences and Engineering, pp. 6858-6873, July 2019. Machine LearningSensing and ControlMiscellaneous Learning	Mathematical Biosciences and Engineering	Link · Link
2019	SAR object classification using the denoising auto-encoder with a modified triplet restriction S. Tian, C. Wang, H. Zhang, B. Bhanu , “SAR object classification using the denoising auto-encoder with a modified triplet restriction,” IET Radar, Sonar & Navigation, (in Press) Object RecognitionTargets/ObjectsMachine Learning	IET Radar, Sonar & Navigation	Link · Link
2019	Video-based kinetic analysis of calcification in live osteogenic human embryonic stem cell cultures reveals the developmentally toxic effect of Snus tobacco extract I.K. Martinez, J.V. Madrid, N. R. Sparks, H. Affeldt III, M.K. Vera, B. Bhanu and N.I. zur Nieden, “Video-based kinetic analysis of calcification in live osteogenic human embryonic stem cell cultures reveals the developmentally toxic effect of Snus tobacco extract,” Toxicology and Applied Pharmacology, 363 (2019) 111–121. Video BioinformaticsStem CellsVideo Networks/Analysis	Toxicology and Applied Pharmacology	Link · Link
2018	Deep analysis of mitochondria and cell health using machine learning A. Zahedi, V. On, R. Phandthong, A. Chaili, G. Remark, B. Bhanu , P. Talbot, “Deep analysis of mitochondria and cell health using machine learning" Nature Scientific Reports, 2018. Video BioinformaticsMitochondriaMachine LearningMiscellaneous LearningDeep/Online Learning	Nature Scientific Reports	Link · Link
2018	Editorial on Special Issue on Biometrics in the Wild V. Struc, B. Bhanu , A. Hadid, Q. Ji, M. Nixon, R. Chellappa, and J. Kittler, "Editorial on Special Issue on Biometrics in the Wild,” Image and Vision Computing, November 22, 2018. BiometricsFace/Iris	Image and Vision Computing	Manual link
2018	Super-resolution for astronomical observations Z. Li, Q. Peng, B. Bhanu , Q. Zhang and H. He, “Super-resolution for astronomical observations,” Astrophysics and Space Science, 363:92, pp. 1-15, May 2018, Springer. Video Networks/AnalysisSuper-Resolution	Astrophysics and Space Science	Link · Link
2018	Words alignment based on association rules for cross-domain sentiment classification X. Jia, Y. Jin, N. Li, X. Su, B. Cardiff and B. Bhanu , “Words alignment based on association rules for cross-domain sentiment classification,” Frontier of Information Technology & Electronic Engineering, 19(2), pp. 260-272, 2018, Springer. Machine LearningMiscellaneous LearningObject Recognition	Frontier of Information Technology & Electronic Engineering	Link · Link
2017	A dense flow-based framework for real-time object registration under compound motion S. Yang, L. An, Y. Lei, M. Li, N. Thakoor, B. Bhanu and Y. Liu, “A dense flow-based framework for real-time object registration under compound motion,” Pattern Recognition, Vol. 63, pp. 279-290, March 31, 2017. BiometricsExpressions/EmotionsObject RecognitionRegistration & FusionNavigation/Motion/RoboticsVideo Networks/AnalysisTracking/Re-IdentificationTargets/Objects	Pattern Recognition	Link · Link
2017	Automated spatio-temporal analysis of dendritic spines and related protein dynamics V. On, A. Zahedi, I.M. Ethell and B. Bhanu , “Automated spatio-temporal analysis of dendritic spines and related protein dynamics,” Plos One, pp. 1-23, August, 2017. Video BioinformaticsBrainObject Recognition	Plos One	Link · Link
2017	Group structure preserving pedestrian tracking in a multi-camera Video network Z. Jin, L. An and B. Bhanu , “Group structure preserving pedestrian tracking in a multi-camera Video network,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 27 No. 10, October 2017. Video Networks/AnalysisTracking/Re-IdentificationObject Recognition	IEEE Transactions on Circuits and Systems for Video Technology	Link · Link
2017	Integrating Social Grouping for Multi-target Tracking Across Cameras in a CRF Model X. Chen and B. Bhanu , “Integrating Social Grouping for Multi-target Tracking Across Cameras in a CRF Model,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 27, No. 11, November 2017. Video Networks/AnalysisTracking/Re-IdentificationObject RecognitionTargets/Objects	IEEE Transactions on Circuits and Systems for Video Technology	Link · Link
2016	A software system for automated identification and retrieval of moth images based on wing attributes L. Feng, B. Bhanu , and J. Hearty, ”A software system for automated identification and retrieval of moth images based on wing attributes,” Pattern Recognition, Vol 51, March 2016. Image/Video Database and LearningRetrievalSpecies	Pattern Recognition	Link · Link
2016	Evaluating cell processes, quality, and biomarkers in pluripotent stem cells using video bioinformatics A. Zahedi, V. On, S. Lin, B.C. Bays, E. Omaiye, B. Bhanu and P. Talbot, “Evaluating cell processes, quality, and biomarkers in pluripotent stem cells using video bioinformatics” Plos One, 2016. Video BioinformaticsStem CellsVideo Networks/Analysis	Plos One	Link · Link
2016	Extraction of blebs in human embryonic stem cell videos X. Guan, B. Bhanu , P. Talbot and J-H Weng, “Extraction of blebs in human embryonic stem cell videos,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 13, No. 4, July 2016. Video BioinformaticsStem CellsVideo Networks/Analysis	IEEE/ACM Transactions on Computational Biology and Bioinformatics	Link · Link
2016	Modeling and classifying tip dynamics of growing cells in video A. L. Tambo and B. Bhanu , “Modeling and classifying tip dynamics of growing cells in video,” IEEE Signal Processing Letters, Vol. 23, No. 10, pp. 1369-1373, 2016. Video BioinformaticsPlant & Cancer CellsObject RecognitionNavigation/Motion/RoboticsVideo Networks/Analysis	IEEE Signal Processing Letters	Link · Link
2016	Multi-person Tracking by Online Learned Grouping Model with Non-linear Motion Context X. Chen, Z. Qin, L. An and B. Bhanu, “Multi-person Tracking by Online Learned Grouping Model with Non-linear Motion Context,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 26, No. 12, pp. 2226-2239, December 2016. Machine LearningDeep/Online LearningVideo Networks/AnalysisTracking/Re-IdentificationContextNavigation/Motion/Robotics	IEEE Transactions on Circuits and Systems for Video Technology	IEEE Xplore · DOI
2016	Person re-identification with reference descriptor L. An, M. Kafai, S. Yang and B. Bhanu , “Person re-identification with reference descriptor,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 26, No. 4, April 2016. Video Networks/AnalysisTracking/Re-IdentificationBiometrics	IEEE Transactions on Circuits and Systems for Video Technology	Legacy link
2016	Segmentation of pollen tube growth videos using dynamic bi-modal fusion and seam carving A. Tambo and B. Bhanu , “Segmentation of pollen tube growth videos using dynamic bi-modal fusion and seam carving,” IEEE Trans. on Image Processing, 2016. Video BioinformaticsPlant & Cancer CellsObject RecognitionSegmentationRegistration & FusionVideo Networks/Analysis	IEEE Trans. on Image Processing	Link · Link
2016	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,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 38, No. 4, April 2016. Image/Video Database and LearningRetrievalSemantics, Retrieval, VQAObject Recognition	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link · Link
2016	Sparse representation matching for person re-identification L. An, X. Chen, S. Yang and B. Bhanu , “Sparse representation matching for person re-identification,” Information Sciences, 2016. Video Networks/AnalysisTracking/Re-IdentificationBiometricsRegistration & Fusion	Information Sciences	Link · Link
2016	Understanding pollen tube growth dynamics using the unscented Kalman filter A.L. Tambo, B. Bhanu , N. Ung, N. Thakoor, N. Luo and Z. Yang, “Understanding pollen tube growth dynamics using the unscented Kalman filter,” Pattern Recognition Letters, Vol. 72, pp. 100-108, March 2016. Video BioinformaticsPlant & Cancer CellsSegmentation	Pattern Recognition Letters	Link · Link
2015	Analysis-by-synthesis: Pedestrian tracking with crowd simulation models in a multi-camera video network Z. Jin and B. Bhanu , “Pedestrian tracking with crowd simulation models in a multi-camera system,” Computer Vision and Image Understanding, Vol. 134, pp. 48-63, April 2015. Object RecognitionTargets/ObjectsVideo Networks/AnalysisTracking/Re-Identification	Computer Vision and Image Understanding	Link
2015	Background suppressing Gabor energy filtering A. Cruz, B. Bhanu and N. Thakoor, "Background suppressing Gabor energy filtering," Pattern Recognition Letters, 52:40-47, 2015. Video BioinformaticsPlant & Cancer CellsBiometricsExpressions/EmotionsObject Recognition	Pattern Recognition Letters	Link · Link
2015	Context guided belief propagation for remote sensing image classification T. Mei, L. An and B. Bhanu , “Context guided belief propagation for remote sensing image classification,” Applied Optics, Vol. 54, No. 11, pp. 3372-3382, April 10, 2015. Object RecognitionContextMachine LearningSensing and Control	Applied Optics	Link · Link
2015	Dynamic low-level context for the detection of mild traumatic brain injury A. Bianchi, B. Bhanu and A. Obenaus, "Dynamic low-level context for the detection of mild traumatic brain injury," IEEE Transactions on Biomedical Engineering, Vol. 62, No. 1, pp. 145-153, January 2015. Video BioinformaticsBrainObject RecognitionContext	IEEE Transactions on Biomedical Engineering	Link · Link
2015	Image understanding for real-world distributed video networks B. Bhanu , A. Prati, F. Qureshi (Editors), Special issue on "Image understanding for real-world distributed video networks" Computer Vision and Image Understanding (CVIU), Vol. 134, pp. 46-47, April 2015. Video Networks/AnalysisVideoWeb LabObject Recognition	Computer Vision and Image Understanding (CVIU)	Journal issue
2015	Modeling uncertainties in performance of object recognition S. Kumar, B. Bhanu , N. Thakoor and S. Ghosh, “Modeling uncertainties in performance of object recognition,” Mathematical Scientist, Vol. 40, No. 1, June 2015. BiometricsPredictionObject RecognitionTargets/Objects	Mathematical Scientist	Legacy link
2015	Multitarget Tracking in Nonoverlapping Cameras Using a Reference Set X. Chen, L. An, and B. Bhanu , “Multi-target tracking in non-overlapping cameras using a reference set,” IEEE Sensors Journal, Vol. 15, No. 5, pp. 2692-2704, May 2015. Video Networks/AnalysisTracking/Re-IdentificationObject RecognitionTargets/Objects	IEEE Sensors Journal	Link
2015	People tracking in camera networks: Three open questions N. S. Thakoor, S. Sunderrajan, L. An, B. Bhanu and B.S. Manjunath, “People tracking in camera networks: Three open questions,” IEEE Computer, Vol. 48, No. 3, pp. 78-86, March 2015. Machine LearningDeep/Online LearningVideo Networks/AnalysisTracking/Re-Identification	IEEE Computer	Link · Link
2015	Person re-identification by robust canonical correlation analysis L. An, S. Yang and B. Bhanu , “Person re-identification by robust canonical correlation analysis,” IEEE Signal Processing Letters, 22(8):1103-1107, 2015. Video Networks/AnalysisTracking/Re-IdentificationBiometrics	IEEE Signal Processing Letters	Link · Link
2015	Special issue on distributed smart sensing for mobile vision B. Bhanu , B. Lovell, A. Prati, F. Qureshi, “Special issue on distributed smart sensing for mobile vision,” IEEE Sensors Journal, Vol. 15, No. 5, pp. 2631-2714, May 2015. Sensing and Control	IEEE Sensors Journal	Link · Link
2015	Understanding dynamic social grouping behaviors of pedestrians L. Feng and B. Bhanu , “Understanding dynamic social grouping behaviors of pedestrians,” IEEE Selected Topics on Signal Processing, Vol. 9, No. 2, pp. 317-329, March 2015. Video Networks/AnalysisTracking/Re-IdentificationObject Recognition	IEEE Selected Topics on Signal Processing	Link · Link
2014	Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR images N. Ghosh, Y. Sun, B. Bhanu , S. Ashwal, A. Obenaus, "Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR images," Medical Image Analysis, 18, pp. 1059-1069, May 16, 2014. Video BioinformaticsBrainObject Recognition	Medical Image Analysis	Link · Link
2014	Bio-driven cell region detection in human embryonic stem cell assay B. X. Guan, B. Bhanu , P. Talbot, S. Lin, "Bio-driven cell region detection in human embryonic stem cell assay," IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 11, Issue 3, pp. 604-611, May/June 2014. Video BioinformaticsStem CellsObject RecognitionSegmentation	IEEE/ACM Transactions on Computational Biology and Bioinformatics	Link · Link
2014	Discrete cosine transform based locality-sensitive hashes for retrieval M. Kafai, K. Eshghi and B. Bhanu , "Discrete cosine transform based locality-sensitive hashes for retrieval," IEEE Transactions on Multimedia, Vol. 16, Issue 4, pp. 1090-1103, June 2014. BiometricsFace/IrisImage/Video Database and LearningRetrieval	IEEE Transactions on Multimedia	Link · Link
2014	Efficient smile detection by extreme learning machine L. An, S. Yang and B. Bhanu , "Efficient smile detection by extreme learning machine," Neurocomputing, 149:354-363, 2014. BiometricsExpressions/EmotionsMachine LearningObject RecognitionMiscellaneous Learning	Neurocomputing	Link · Link
2014	Face biometrics in the wild A.A. Farag, B. Bhanu , E. Hancock, G. Medioni and J. Yang (Editors): Special Issue on "Face biometrics in the wild," IEEE Trans. on Information Forensics and Security, Vol. 9, No. 12, pp. 2019-2023, Dec. 2014. BiometricsFace/Iris	IEEE Trans. on Information Forensics and Security	Legacy link
2014	Face image super-resolution using 2D CCA L. An and B. Bhanu , "Face image super-resolution using 2D CCA," Signal Processing, 103, pp. 183-194, 2014. BiometricsFace/IrisVideo Networks/AnalysisSuper-Resolution	Signal Processing	Link · Link
2014	Predictive models for multibiometric systems S. Kumar, B. Bhanu , S. Ghosh and N. Thakoor, "Predictive models for multibiometric systems," Pattern Recognition, 47(12):3779-3792, 2014. BiometricsFingerprintPredictionObject Recognition	Pattern Recognition	Link · Link
2014	Reference face graph for face recognition M. Kafai, L. An and B. Bhanu , "Reference face graph for face recognition," IEEE Transactions on Information Forensics and Security, Vol. 9, No. 12, pp. 2132-2143, December 2014. BiometricsFace/IrisObject Recognition	IEEE Transactions on Information Forensics and Security	Link · Link
2014	Vision and attention theory based sampling for continuous facial emotion recognition A. Cruz, B. Bhanu and N. S. Thakoor, "Vision and attention theory based sampling for continuous facial emotion recognition," IEEE Transactions on Affective Computing, Vol. 5, No. 4, pp. 418-431, October-December 2014. BiometricsFace/IrisExpressions/EmotionsMachine LearningObject RecognitionNavigation/Motion/Robotics	IEEE Transactions on Affective Computing	Link · Link
2014	Visual and contextual modeling for the detection of repeated mild traumatic brain injury A. Bianchi, B. Bhanu , V. Donovan, and A. Obenaus, "Visual and contextual modeling for the detection of repeated mild traumatic brain injury," IEEE Transactions on Medical Imaging, Vol. 33, No. 1, January 2014. Video BioinformaticsBrainObject RecognitionContext	IEEE Transactions on Medical Imaging	Link · Link
2014	Zapping Index: Using smile to measure advertisement zapping likelihood S. Yang, M. Kafai, L. An and B. Bhanu , "Zapping Index: Using smile to measure advertisement zapping likelihood," IEEE Transactions on Affective Computing, Vol. 5, No. 4, pp. 432-444, October-December 2014. BiometricsExpressions/Emotions	IEEE Transactions on Affective Computing	Link · Link
2013	Dynamic Bayesian network for unconstrained face recognition in surveillance camera networks L. An, M. Kafai and B. Bhanu , "Dynamic Bayesian network for unconstrained face recognition in surveillance camera networks," IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol. 3, No. 2, pp. 155-164, June, 2013. BiometricsFace/IrisVideo Networks/AnalysisBayesian LearningObject Recognition	IEEE Journal on Emerging and Selected Topics in Circuits and Systems	Link · Link
2013	Evolving Bayesian graph for 3D vehicle model building from video N. Ghosh and B. Bhanu , "Evolving Bayesian graph for 3D vehicle model building from video," IEEE Transactions on Intelligent Transportation Systems, pp. 1-16, October 2013. Video Networks/AnalysisBayesian LearningObject RecognitionTargets/Objects3D	IEEE Transactions on Intelligent Transportation Systems	Legacy link
2013	Learning small gallery size for prediction of recognition performance on large populations R. Wang, B. Bhanu and N. Thakoor, "Learning small gallery size for prediction of recognition performance on large populations," Pattern Recognition, June 7, 2013 (date of publication on-line). Volume 46, Issue 12, December 2013, Pages 3533-3547. BiometricsFingerprintPredictionObject RecognitionMachine LearningMiscellaneous Learning	Pattern Recognition	Link · Link
2013	Reference-based scheme combined with K-SVD for scene image categorization Q. Li, H. Zhang, J. Guo, B. Bhanu , and Le An, "Reference-based scheme combined with K-SVD for scene image categorization," IEEE Signal Processing Letters, Vol. 20, No. 1, January 2013. Object RecognitionSegmentationVideo Networks/AnalysisTracking/Re-Identification	IEEE Signal Processing Letters	Link · Link
2013	Structural signatures for passenger vehicle classification in video N. Thakoor, B. Bhanu , "Structural signatures for passenger vehicle classification in video," IEEE Transactions on Intelligent Transportation Systems. Vol. 14, No. 4, December 2013. Video Networks/AnalysisMachine LearningObject RecognitionTargets/Objects	IEEE Transactions on Intelligent Transportation Systems	Link · Link
2012	Computational analysis reveals increased blood deposition following repeated mild traumatic brain injury V. Donovan, A. Bianchi, R. Hartman, B. Bhanu , M.J. Carson, and A. Obenaus, "Computational analysis reveals increased blood deposition following repeated mild traumatic brain injury," NeuroImage Clinical, Sept., 2012. Video BioinformaticsBrain	NeuroImage Clinical	Link · Link
2012	Dynamic Bayesian networks for vehicle classification in video M. Kafai and B. Bhanu , "Dynamic Bayesian networks for vehicle classification in video," IEEE Transactions on Industrial Informatics, Vol 8, No. 1, pp 100-109, Feb, 2012. Machine LearningBayesian LearningVideo Networks/AnalysisObject RecognitionTargets/Objects	IEEE Transactions on Industrial Informatics	Link · Link
2012	Reflection symmetry integrated image segmentation Y. Sun and B. Bhanu , "Reflection symmetry integrated image segmentation," IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 34, No. 9, pp. 1827-1841, September 2012. Video BioinformaticsBrainObject RecognitionSegmentationRegistration & Fusion	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link · Link
2012	Understanding discrete facial expressions in video using an emotion avatar image S. Yang and B. Bhanu , "Understanding discrete facial expressions in video using an emotion avatar image," IEEE Trans. on Systems, Man and Cybernetics, Part B, Special Issue, Vol. 45, No. 4, August 2012. BiometricsFace/IrisExpressions/EmotionsVideo Networks/AnalysisNavigation/Motion/Robotics	IEEE Trans. on Systems, Man and Cybernetics	Link · Link
2011	Automated ischemic lesion detection in a neonatal model of hypoxic ischemic injury N. Ghosh, R. Recker, A. Shah, B. Bhanu , S. Ashwal and A. Obenaus, "Automated ischemic lesion detection in a neonatal model of hypoxic ischemic injury," Journal of Magnetic Resonance Imaging. 2011. Video BioinformaticsBrainObject RecognitionSegmentation	Journal of Magnetic Resonance Imaging. 2011	Link · Link
2011	High-throughput large-area automated identification and quality control of grapheme and few-layer graphene films C. Nolen, G. Denina, D. Teweldebrhan, B. Bhanu , and A.A. Balandin, "High-throughput large-area automated identification and quality control of grapheme and few-layer graphene films," ACS Nano. 5 (2), pp 914-922, Jan 5, 2011. Object RecognitionInspectionSensing and Control	ACS Nano. 5 (2)	Link · Link
2011	Utility-based camera assignment in a video network: A game theoretic framework Y. Li and B. Bhanu , "Utility-based camera assignment in a video network: A game theoretic framework," IEEE Sensors Journal, Special Issue on Cognitive Networks, Vol. 11, No.3, pp. 676-687, March 2011. Video Networks/AnalysisTracking/Re-Identification	IEEE Sensors Journal	Link · Link
2010	Design and optimization of the VideoWeb wireless camera network H. Nguyen, B. Bhanu , A. Patel, and R. Diaz, "Design and optimization of the VideoWeb wireless camera network," EURASIP Journal on Image and Video Processing, Special Issue on Multicamera Information Processing: Acquisition, Collaboration, Interpretation, and Production, 13 journal pages, 2010. Video Networks/AnalysisVideoWeb LabMiscellaneous Learning	EURASIP Journal on Image and Video Processing	Link · Link
2010	Incremental Unsupervised Three-Dimensional Vehicle Model Learning From Video N. Ghosh and B. Bhanu , "Incremental unsupervised 3-D vehicle model learning from video," IEEE Transactions on Intelligent Transportation Systems. Vol. 11, No. 2, pp 423-440, 2010. Video Networks/AnalysisMachine LearningDeep/Online LearningObject RecognitionTargets/Objects3DMiscellaneous Learning	IEEE Transactions on Intelligent Transportation Systems	Link
2010	Video bioinformatics analysis of human embryonic stem cell colony growth S. Lin, S. Fonteno, S. Satish and B. Bhanu and P. Talbot, "Video bioinformatics analysis of human embryonic stem cell colony growth," Journal of Visualized Experiments (JOVE), Issue 39, May 20, 2010. (5 pages and associated 51MB video). http://www.jove.com/index/details.stp?id=1933 Video BioinformaticsStem CellsVideo Networks/Analysis	Journal of Visualized Experiments (JOVE)	Link · Link
2009	Continuous learning of a multi-layered network topology in a video camera network X. Zou, B. Bhanu and A. Roy-Chowdhury, "Continuous learning of a multi-layered network topology in a video camera network," EURASIP Journal on Image and Video Processing, Special Issue on Video-Based Modeling, Analysis, and Recognition of Human Motion, pp. 1-19, 2009. BiometricsFace/IrisMachine LearningBayesian LearningSwarm LearningVideo Networks/AnalysisTracking/Re-IdentificationMiscellaneous Learning	EURASIP Journal on Image and Video Processing	Link · Link
2009	Efficient recognition of highly similar 3D objects in range images H. Chen and B. Bhanu , "Efficient recognition of highly similar 3D objects in range images," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 1, pp. 172-179, January 2009. BiometricsEarObject Recognition3DTargets/ObjectsNavigation/Motion/Robotics	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link · Link
2008	Automated classification of skippers based on parts representation B. Bhanu , R. Li, J. Heraty and E. Murray, "Automated classification of skippers based on parts representation," American Entomologist, pp. 228-231, December 2008. Video BioinformaticsSpeciesObject RecognitionTargets/ObjectsMachine Learning	American Entomologist	Link · Link
2008	Feature fusion of side face and gait for video-based human identification X. Zhou and B. Bhanu , "Feature fusion for video-based human identification," Pattern Recognition, Special issue on Feature Generation and Machine Learning for Robust Multimodal Biometrics, Volume 41, Issue 3, Pages 778-795, March 2008. BiometricsGaitFace/IrisVideo Networks/AnalysisRegistration & Fusion	Pattern Recognition	Link
2008	Feature fusion of side face and gait for video-based human identification X. Zhou and B. Bhanu , "Feature fusion of side face and gait for video-based human identification," Pattern Recognition, Special issue on Feature Generation and Machine Learning for Robust Multimodal Biometrics, Volume 41, Issue 3, Pages 778-795, March 2008. Machine LearningEvolutionary LearningBiometricsFace/IrisGaitVideo Networks/AnalysisRegistration & Fusion	Pattern Recognition	Link · Link
2008	Feature synthesized EM algorithm for image retrieval R. Li, B. Bhanu and A. Dong, "Feature synthesized EM algorithm for image retrieval," ACM Transactions on Multimedia Computing, Communications and Application, Vol.4, No. 2, pp. 1-18, May 2008. Image/Video Database and LearningRetrieval	ACM Transactions on Multimedia Computing, Communications and Application	Link · Link
2008	Long term cross-session relevance feedback using virtual features B. Bhanu , K. Chang and A. Dong, "Long term cross-session relevance feedback using virtual features," IEEE Transactions on Knowledge and Data Engineering, Vol. 20, No. 3, pp. 352-368, March 2008. Image/Video Database and LearningRelevance Feedback	IEEE Transactions on Knowledge and Data Engineering	Link · Link
2007	3D free-form object recognition in range images using local surface patches H. Chen and B. Bhanu , "3D free-form object recognition in range images using local surface patches," Pattern Recognition Letters, Vol. 28, No.10, pp. 1252-1262, July 2007. BiometricsEarObject RecognitionTargets/ObjectsNavigation/Motion/Robotics3D	Pattern Recognition Letters	Link · Link
2007	Fusion of color and infrared video for moving human detection J. Han and B. Bhanu , "Fusion of color and infrared video for moving human detection," Pattern Recognition, Vol. 40, No. 6, pp. 1771-1784, 2007. BiometricsGaitVideo Networks/AnalysisObject RecognitionRegistration & Fusion	Pattern Recognition	Link · Link
2007	Guest Editorial: Special issue on Human Detection and Recognition B. Bhanu , N. Ratha, V. Kumar, R. Chellappa and J. Bigun, (Guest Editors) "Guest Editorial: Special issue on Human Detection and Recognition," IEEE Transactions on Information Forensics and Security, Vol. 2, No. 3, pp. 489-490, September 2007. Object Recognition	IEEE Transactions on Information Forensics and Security	Link · Link
2007	Human ear recognition in 3D H. Chen and B. Bhanu , "Human ear recognition in 3D," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, No. 4, pp. 718-737, April 2007. BiometricsEarObject Recognition3D	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link · Link
2007	Integrating face and gait for human recognition at a distance in Video X. Zhou and B. Bhanu , "Integrating face and gait for human recognition at a distance in Video," IEEE Transactions on Systems, Man and Cybernetics Part B, Vol. 37, No. 5, pp. 1119-1137, Oct. 2007. BiometricsGaitFace/IrisVideo Networks/AnalysisObject Recognition	IEEE Transactions on Systems, Man and Cybernetics Part B	Link · Link
2007	Predicting fingerprint biometric performance from a small gallery R. Wang and B. Bhanu , "Predicting fingerprint biometric performance from a small gallery," Pattern recognition Letters, Vol. 28, pp. 40-48, 2007. BiometricsPredictionObject RecognitionFingerprint	Pattern recognition Letters	Link · Link
2007	Uncertain spatial data handling: Modeling, indexing and query R. Li, B. Bhanu , C. Ravishankar, M. Kurth and J. Ni, "Uncertain spatial data handling: Modeling, indexing and query," Computers and Geosciences, Vol. 33, pp. 42-61, 2007. Image/Video Database and LearningRetrieval	Computers and Geosciences	Link · Link
2007	Visual learning by evolutionary feature synthesis K. Krawiec and B. Bhanu , "Visual learning by evolutionary feature synthesis," IEEE Transactions on Evolutionary Computation, Vol. 11, No. 5, pp. 635-650, October 2007. Machine LearningEvolutionary LearningObject RecognitionTargets/ObjectsMiscellaneous Learning	IEEE Transactions on Evolutionary Computation	Link · Link
2006	Evolutionary feature synthesis for facial expression recognition J. Yu and B. Bhanu , "Evolutionary feature synthesis for facial expression recognition," Pattern Recognition Letters, Special Issue on Evolutionary Computation., Volume 27, Issue 11, pp. 1289-1298, August 2006. BiometricsFace/IrisExpressions/EmotionsMachine LearningEvolutionary LearningObject Recognition	Pattern Recognition Letters	Link · Link
2006	Fingerprint matching using genetic algorithms X. Tan and B. Bhanu , "Fingerprint matching using genetic algorithms," Pattern Recognition, Vol. 39, No. 3, pp. 465-477, March 2006. BiometricsFingerprintMachine LearningEvolutionary LearningRegistration & Fusion	Pattern Recognition	Link · Link
2006	Individual recognition using gait energy image J. Han and B. Bhanu , "Individual recognition using gait energy image," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, No. 2, pp. 316-322, February 2006. BiometricsGaitObject Recognition	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link · Link
2005	Active concept Learning in image databases A. Dong and B. Bhanu , "Active concept Learning in image databases," IEEE Trans. on Systems, Man and Cybernetics, Part B, Vol. 35, No. 3, pp. 450-456, June 2005. Machine LearningConcept/Active LearningImage/Video Database and LearningMiscellaneous Learning	IEEE Trans. on Systems, Man and Cybernetics	Link · Link
2005	Evolutionary feature synthesis for object recognition Y. Lin and B. Bhanu , "Evolutionary feature synthesis for object recognition," IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, Special Issue on Knowledge Extraction and Incorporation in Evolutionary Computation, Vol. 35, No. 2, pp. 156-171, May 2005. Machine LearningEvolutionary LearningObject RecognitionTargets/Objects	IEEE Transactions on Systems, Man and Cybernetics	Link · Link
2005	Fingerprint classification based on learned features X Tan, B. Bhanu and Y. Lin, "Fingerprint classification based on learned features," IEEE Transactions on Systems, Man and Cybernetics, Part C, Vol. 35, No. 3, pp. 287-300, August 2005. Special Issue on Biometric Systems. BiometricsFingerprintMachine LearningEvolutionary LearningObject Recognition	IEEE Transactions on Systems, Man and Cybernetics	Link · Link
2005	Integrating relevance feedback techniques for image retrieval using reinforcement learning P. Yin, B. Bhanu , K. Chang and A. Dong, "Integrating relevance feedback techniques for image retrieval using reinforcement learning," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 10, pp. 1536-1551, Oct. 2005. Machine LearningBayesian LearningImage/Video Database and LearningRelevance FeedbackRetrievalReinforcement LearningMiscellaneous Learning	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link · Link
2005	Introduction to the Special Issue on learning in computer vision and pattern recognition B. Bhanu , J. Peng, T. Huang and B. Draper, "Introduction to the Special Issue on learning in computer vision and pattern recognition," IEEE Transactions on Systems, Man and Cybernetics Part B, Vol. 35, No. 3, pp. 391-396, June 2005. Machine LearningObject RecognitionMiscellaneous Learning	IEEE Transactions on Systems, Man and Cybernetics Part B	Link · Link
2005	Object detection via feature synthesis using MDL-based genetic programming Y. Lin and B. Bhanu , "Object detection via feature synthesis using MDL-based genetic programming," IEEE Transactions on Systems, Man and Cybernetics Part B, Vol. 35, No. 3, pp. 538-547, June 2005. Machine LearningEvolutionary LearningObject RecognitionTargets/Objects	IEEE Transactions on Systems, Man and Cybernetics Part B	Link · Link
2005	Performance prediction for individual recognition by gait J. Han and B. Bhanu , "Performance prediction for individual recognition by gait," Pattern Recognition Letters, Vol. 26, no. 5, pp. 615-624, April 2005. BiometricsGaitPredictionObject Recognition	Pattern Recognition Letters	Link · Link
2005	Visual learning by coevolutionary feature synthesis K. Krawiec and B. Bhanu , "Visual learning by coevolutionary feature synthesis," IEEE Transactions on Systems, Man and Cybernetics, Part B, Vol. 35, No. 3, pp. 409-425, June 2005. Machine LearningEvolutionary LearningObject RecognitionTargets/ObjectsMiscellaneous Learning	IEEE Transactions on Systems, Man and Cybernetics	Link · Link
2004	Functional template-based SAR image segmentation B. Bhanu and S. Fonder, "Functional template-based SAR image segmentation," Pattern Recognition, Vol. 37, No. 1, pp. 61-77, 2004. Machine LearningEvolutionary LearningObject RecognitionSegmentationTargets/Objects	Pattern Recognition	Link · Link
2004	Multiple look angle SAR recognition B. Bhanu and G. Jones III, "Multiple look angle SAR recognition," International Journal of Imaging and Graphics, Vol. 4, No. 1, pp. 85-98, January 2004. Object RecognitionTargets/Objects	International Journal of Imaging and Graphics	Link · Link
2004	Object detection in multimodal images using genetic programming B. Bhanu and Y. Lin, "Object detection in multimodal images using genetic programming," Applied Soft Computing Journal. Vol. 4, pp. 175-201, 2004. Machine LearningEvolutionary LearningObject RecognitionTargets/ObjectsRegistration & Fusion	Applied Soft Computing Journal	Link · Link
2004	Physical models for moving shadow and object detection in video S. Nadimi and B. Bhanu , "Physical models for moving shadow and object detection in video," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 8, pp. 1079-1087, August 2004. Object RecognitionTargets/ObjectsVideo Networks/Analysis	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link · Link
2004	Synthesizing feature agents using evolutionary computation B. Bhanu and Y. Lin, "Synthesizing feature agents using evolutionary computation," Pattern Recognition Letters, Special Issue on Remote Sensing, Vol. 25, pp. 1519-1531, October 2004. Machine LearningEvolutionary LearningObject RecognitionSegmentation	Pattern Recognition Letters	Link · Link
2003	A robust two step approach for fingerprint identification X. Tan and B. Bhanu , "A robust two step approach for fingerprint identification," Pattern Recognition Letters, 24, pp. 2127-2134, June 2003. Special Issue on Biometrics. BiometricsFingerprint	Pattern Recognition Letters	Link · Link
2003	Fingerprint indexing based on novel features of minutiae triplets B. Bhanu and X. Tan, "Fingerprint indexing based on novel features of minutiae triplets," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, No. 5, pp. 616-622, May 2003. BiometricsFingerprintRetrieval	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link · Link
2003	Genetic algorithm based feature selection for target detection in SAR images B. Bhanu and Y. Lin, "Genetic algorithm based feature selection for target detection in SAR images," Image and Vision Computing, Vol. 21, No. 7, pp. 591-608, 2003. Machine LearningEvolutionary LearningObject RecognitionTargets/ObjectsFeature Selection	Image and Vision Computing	Link · Link
2003	Guest Editorial: Special issue on computer vision beyond the visible spectrum I. Pavlidis and B. Bhanu , "Guest Editorial: Special issue on computer vision beyond the visible spectrum," Image and Vision Computing Vol. 21, No. 7, pp. 563-564, 2003. Object Recognition	Image and Vision Computing	Link · Link
2003	Stochastic models for recognition of occluded targets B. Bhanu and Y. Lin, "Stochastic models for recognition of occluded targets," Pattern Recognition, Vol. 36, No. 12, pp. 2855-2873, December 2003. Object RecognitionTargets/ObjectsBayesian Learning	Pattern Recognition	Link · Link
2002	Concept learning with fuzzy clustering and relevance feedback B. Bhanu and A. Dong, "Concept learning with fuzzy clustering and relevance feedback," Engineering Applications of Artificial Intelligence, Vol. 15, No. 2, pp. 123-138, 2002. Machine LearningConcept/Active LearningImage/Video Database and LearningRelevance FeedbackMiscellaneous Learning	Engineering Applications of Artificial Intelligence	Link · Link
2002	Increasing the discrimination of synthetic aperture radar recognition models B. Bhanu and G. Jones, "Increasing the discrimination of SAR recognition models," Optical Engineering, Vol. 41, No. 12, pp. 3298-3306, December 2002. Object RecognitionTargets/Objects	Optical Engineering	Link
2002	Introduction to the Special Issue on Innovative Applications of Computer Vision B. Bhanu , T. Boult, A. Gupta and D. Michael, "Introduction to the Special Issue on Innovative Applications of Computer Vision," International Journal of Machine Vision and Applications, Vol. 13, No. 3, pp. 109-110, 2002. Object Recognition	International Journal of Machine Vision and Applications	Link · Link
2002	Model-based recognition of articulated objects J.S. Ahn and B. Bhanu , "Model-based recognition of articulated objects," Pattern Recognition Letters, Vol. 23, No. 8, pp. 1019-1029, 2002. Object RecognitionTargets/Objects	Pattern Recognition Letters	Link · Link
2001	Independent feature analysis for image retrieval J. Peng and B. Bhanu , "Independent feature analysis for image retrieval," Pattern Recognition Letters, Vol. 22, No. 1, pp. 63-74, 2001. Image/Video Database and LearningRetrieval	Pattern Recognition Letters	Link · Link
2001	Local discriminative learning for pattern Recognition J. Peng and B. Bhanu , "Local discriminative learning for pattern Recognition," Pattern Recognition, Vol. 34, No. 1, pp. 139-150, 2001. Machine LearningConcept/Active LearningObject RecognitionMiscellaneous Learning	Pattern Recognition	Link · Link
2001	Predicting an upper bound on SAR ATR performance M. Boshra and B. Bhanu , "Predicting an upper bound on SAR ATR performance," IEEE Transactions on Aerospace and Electronic Systems, Vol. 37, No. 3, pp. 876-888, 2001. BiometricsPredictionObject RecognitionTargets/Objects	IEEE Transactions on Aerospace and Electronic Systems	Link · Link
2001	Recognizing articulated objects in SAR images G. Jones and B. Bhanu , "Recognizing articulated targets in SAR images," Pattern Recognition, Vol. 34, No. 2, pp. 469-485, 2001. Object RecognitionTargets/Objects	Pattern Recognition	Link
2001	Recognizing occluded objects in SAR images G. Jones and B. Bhanu , "Recognizing occluded objects in SAR images," IEEE Transactions on Aerospace and Electronic Systems, Vol. 37, No. 1, pp. 316-328, 2001. Object RecognitionTargets/Objects	IEEE Transactions on Aerospace and Electronic Systems	Link · Link
2000	Adaptive integrated image segmentation and object recognition B. Bhanu and J. Peng, "Adaptive integrated image segmentation and object recognition," IEEE Transactions on Systems, Man and Cybernetics- Part C, Vol. 30, No. 4, pp. 427-441, 2000. Object RecognitionSegmentationTargets/ObjectsRegistration & Fusion	IEEE Transactions on Systems, Man and Cybernetics- Part C	Link · Link
2000	Adaptive target recognition B. Bhanu , Y. Lin, G. Jones and J. Peng, "Adaptive target recognition," International Journal of Machine Vision and Applications, Vol. 11, No. 6, pp. 289-299, 2000. Machine LearningReinforcement LearningObject RecognitionTargets/Objects	International Journal of Machine Vision and Applications	Link · Link
2000	Guest editorial: Special issue on computer vision beyond the visible spectrum B. Bhanu , I. Pavlidis and R. Hummel, "Guest Editorial, Computer vision beyond the visible spectrum," International Journal of Machine Vision and Applications, Vol. 11, No. 6, pp. 265-266, 2000. Object Recognition	Machine Vision and Applications	Link
2000	Predicting performance of object recognition M. Boshra and B. Bhanu , "Predicting performance of object recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No. 9, pp. 956-969, 2000. BiometricsPredictionObject RecognitionTargets/Objects	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link · Link
2000	Recognizing target variants and articulations in synthetic aperture radar images B. Bhanu and G. Jones, "Recognizing target variants and articulations in synthetic aperture radar images," Optical Engineering, Vol. 39, No. 3, pp. 712-723, 2000. Object RecognitionTargets/Objects	Optical Engineering	Link · Link
1999	Guest Editorial, Perception-based intelligent robots B. Bhanu , "Guest Editorial, Perception-based intelligent robots," Autonomous Robots, Vol. 6, No. 2, pp. 111-112, 1999. Navigation/Motion/Robotics	Autonomous Robots	Link
1999	Learning to perceive objects for autonomous navigation J. Peng and B. Bhanu , "Learning to perceive objects for autonomous navigation," Autonomous Robots, Vol. 6, No. 2, pp. 187-201, 1999. Machine LearningObject RecognitionTargets/ObjectsNavigation/Motion/RoboticsMiscellaneous Learning	Autonomous Robots	Link · Link
1999	Learning to Perceive Objects for Autonomous Navigation J. Peng and B. Bhanu , "Learning to Perceive Objects for Autonomous Recognition," Autonomous Robots, Vol. 6, pp. 187-201, 1999. Machine LearningReinforcement LearningObject RecognitionTargets/ObjectsNavigation/Motion/RoboticsMiscellaneous Learning	Autonomous Robots	Link
1999	Probabilistic feature relevance learning for content-based image retrieval J. Peng, B. Bhanu and S. Qing, "Probabilistic feature relevance learning for content-based image retrieval," Computer Vision and Image Understanding, Vol. 75, No. 1/2, pp. 150-164, 1999. (Special Issue of Content-Based Access of Image and Video Libraries) Machine LearningBayesian LearningImage/Video Database and LearningRelevance FeedbackRetrievalFeature SelectionMiscellaneous Learning	Computer Vision and Image Understanding	Link · Link
1999	Recognition of articulated and occluded objects G. Jones and B. Bhanu , "Recognition of articulated and occluded objects," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 21, No. 7, pp. 603-613, 1999. Object RecognitionTargets/Objects	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link · Link
1998	A system for model-based object recognition in perspective aerial images S. Das and B. Bhanu , "A system for model-based object recognition in perspective aerial images," Pattern Recognition, Vol. 31, No. 4, pp. 465-491, 1998. Object RecognitionTargets/Objects	Pattern Recognition	Link · Link
1998	Closed loop object recognition using reinforcement learning J. Peng and B. Bhanu , "Closed loop object recognition using reinforcement learning," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 2, pp. 139-154, 1998. Machine LearningReinforcement LearningObject RecognitionTargets/ObjectsSegmentationMiscellaneous Learning	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link · Link
1998	Delayed reinforcement learning for adaptive image segmentation and feature extraction J. Peng and B. Bhanu , "Delayed reinforcement learning for adaptive image segmentation and feature extraction," IEEE Transactions on Systems, Man and Cybernetics, Vol. 28, No. 3, pp. 482-488, 1998. Machine LearningReinforcement LearningObject RecognitionSegmentationMiscellaneous Learning	IEEE Transactions on Systems, Man and Cybernetics	Link · Link
1997	Analysis of terrain using multispectral images B. Bhanu , P. Symosek and S. Das, "Analysis of terrain using multispectral images," Pattern Recognition, Vol. 30, No. 2, pp. 197-215, 1997. Object RecognitionSegmentation	Pattern Recognition	Link · Link
1997	Gabor Wavelet Representation for 3D Object Recognition X. Wu and B. Bhanu , "Gabor wavelet representation for 3-D object recognition," IEEE Transactions on Image Processing, Vol. 6, No. 1, pp. 47-64, 1997. Object RecognitionTargets/Objects3D	IEEE Transactions on Image Processing	Link · Link
1997	Introduction to the Special Issue on automatic target detection and recognition B. Bhanu , D. Dudgeon, E. Zelnio, A. Rosenfeld, D. Casasent and I. Reed (Guest Editors), "Introduction to the Special Issue on automatic target detection and recognition," IEEE Transactions on Image Processing, Vol. 6, No. 1, pp. 1-6, 1997. Object RecognitionTargets/Objects	IEEE Transactions on Image Processing	Link · Link
1997	ORACLE: An integrated learning approach for object recognition J. Ming and B. Bhanu , "ORACLE: An integrated learning approach for object recognition," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 11, No. 6, pp. 961-990, 1997. Machine LearningConcept/Active LearningObject RecognitionTargets/ObjectsRegistration & FusionMiscellaneous Learning	International Journal of Pattern Recognition and Artificial Intelligence	Link · Link
1996	A system for obstacle detection during rotorcraft low altitude flight B. Bhanu , S. Das, B. Roberts and D. Duncan, "A system for obstacle detection during rotorcraft low altitude flight," IEEE Transactions on Aerospace and Electronic Systems, Vol. 32, No. 3, pp. 875-897, 1996. Object RecognitionNavigation/Motion/Robotics	IEEE Transactions on Aerospace and Electronic Systems	Link · Link
1996	Generic object recognition using multiple representations S. Das, B. Bhanu and C. C. Ho, "Generic object recognition using multiple representations," Image and Vision Computing, Vol. 14, pp. 323-338, 1996. Object RecognitionTargets/Objects3D	Image and Vision Computing	Link · Link
1996	Target indexing in SAR images using scattering centers and Hausdorff distance J. Yi, B. Bhanu and M. Li, "Target indexing in SAR images using scattering centers and Hausdorff distance," Pattern Recognition Letters, Vol. 17, pp. 1191-1198, 1996. Object RecognitionTargets/ObjectsRetrieval	Pattern Recognition Letters	Link · Link
1996	Target Indexing in SAR Images Using Scattering Centers and the Hausdorff Distance J. H. Yi, M. Li, and B. Bhanu , "Target Indexing in SAR Images Using Scattering Centers and the Hausdorff Distance," Pattern Recognition Letters, Vol. 17, pp. 1191-1198, November 1996. RetrievalObject RecognitionTargets/Objects	Pattern Recognition Letters	Link · Link
1995	Adaptive image segmentation using a genetic algorithm B. Bhanu , S. Lee and J. Ming, "Adaptive image segmentation using a genetic algorithm," IEEE Transactions on Systems, Man and Cybernetics, Vol. 25, No. 12, pp. 1543-1567, 1995. Machine LearningEvolutionary LearningObject RecognitionSegmentationReinforcement Learning	IEEE Transactions on Systems, Man and Cybernetics	Link · Link
1995	Adaptive image segmentation using genetic and hybrid search methods B. Bhanu , S. Lee and S. Das, "Adaptive image segmentation using genetic and hybrid search methods," IEEE Transactions Aerospace and Electronic Systems, Vol. 31, No. 4, pp. 1268-1291, 1995. Machine LearningEvolutionary LearningObject RecognitionSegmentationReinforcement Learning	IEEE Transactions Aerospace and Electronic Systems	Link · Link
1994	Introduction to the Special Section on learning in computer vision B. Bhanu and T. Poggio, "Introduction to the Special Section on learning in computer vision," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 16, No. 9, pp. 865-868, 1994. Machine LearningMiscellaneous Learning	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link
1994	Introduction to the Special Section on perception-based real-world navigation B. Bhanu , O. Faugeras, B. Sridhar and C. Thorpe, "Introduction to the Special Section on perception-based real-world navigation," IEEE Transactions on Robotics and Automation, Vo. 10, No. 6, pp. 725-727, 1994. Navigation/Motion/Robotics	IEEE Transactions on Robotics and Automation	Link
1994	Synergism of binocular and motion stereo for passive ranging B. Bhanu , S. Das, P. Symosek, S. Snyder and B. Roberts, "Synergism of binocular and motion stereo for passive ranging," IEEE Transactions on Aerospace and Electronic Systems, Vol. 30, No. 3, pp. 709-721, 1994. Object RecognitionNavigation/Motion/Robotics	IEEE Transactions on Aerospace and Electronic Systems	Link · Link
1993	Image understanding research for automatic target recognition B. Bhanu and T. Jones, "Image understanding research for automatic target recognition," IEEE Aerospace and Electronic Systems, Vol. 8, No. 10, pp. 15-23, 1993. Image/Video Database and LearningObject RecognitionTargets/Objects	IEEE Aerospace and Electronic Systems	Link · Link
1992	Dynamic-scene and motion analysis using passive sensors - PART I: A qualitative approach B. Bhanu , R. Nevatia and E. Riseman, "Dynamic-scene and motion analysis using passive sensors - PART I: A qualitative approach," IEEE Expert, Vol. 7, No. 1, pp. 45-52, 1992. Object RecognitionNavigation/Motion/RoboticsVideo Networks/AnalysisSensing and Control	IEEE Expert	Link · Link
1992	Dynamic-scene and motion analysis using passive sensors - PART II: Displacement-field and feature-based approaches B. Bhanu , R. Nevatia and E. Riseman, "Dynamic-scene and motion analysis using passive sensors - PART II: Displacement-field and feature-based approaches," IEEE Expert, Vol. 7, No. 1, pp. 53-64, 1992. Object RecognitionNavigation/Motion/RoboticsVideo Networks/AnalysisSensing and Control	IEEE Expert	Link · Link
1992	Guest editorial introduction - passive ranging for robotic systems B. Bhanu and B. Sridhar, "Guest editorial introduction - passive ranging for robotic systems," Journal of Robotic Systems, Vol. 9, No. 6, pp. 705-708, 1992. Navigation/Motion/Robotics	Journal of Robotic Systems	Link · Link
1992	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," Journal of Robotic Systems, Vol. 9, No. 6, pp. 817-842, 1992. Object RecognitionNavigation/Motion/RoboticsVideo Networks/AnalysisTargets/ObjectsRegistration & FusionSensing and Control	Journal of Robotic Systems	Link · Link
1991	A qualitative approach to dynamic scene understanding, Computer Vision B. Bhanu and W. Burger, "A qualitative approach to dynamic scene understanding, Computer Vision," Graphics and Image Processing - Image Understanding, Vol. 54, No. 2, pp. 184-205, 1991. Object RecognitionNavigation/Motion/Robotics	Graphics and Image Processing - Image Understanding	Link · Link
1990	Estimating 3-D egomotion from perspective image sequences W. Burger and B. Bhanu , "Estimating 3-D egomotion from perspective image sequences, IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI Vol. 12, No. 11, pp. 1040-1058, 1990. Object RecognitionNavigation/Motion/Robotics3D	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link · Link
1990	Model-based segmentation of FLIR images B. Bhanu and R. Holben, "Model-based segmentation of FLIR images," IEEE Transactions on Aerospace and Electronic Systems, Vol. 26, No. 1, pp. 2-11, 1990. Object RecognitionSegmentation	IEEE Transactions on Aerospace and Electronic Systems	Link · Link
1990	Qualitative understanding of scene dynamics for autonomous mobile robots W. Burger and B. Bhanu . "Qualitative understanding of scene dynamics for autonomous mobile robots," International Journal of Robotics Research, Vol. 9, No. 6, pp. 74-90, 1990. Object RecognitionNavigation/Motion/Robotics	International Journal of Robotics Research	Link · Link
1990	Qualitative understanding of scene dynamics for mobile robots W. Burger and B. Bhanu . "Qualitative understanding of scene dynamics for mobile robots," International Journal of Robotics Research, Vol. 9, No. 6, pp. 74-90, 1990. Object RecognitionNavigation/Motion/Robotics	International Journal of Robotics Research	Link · Link
1990	VLSI design and implementation of a real-time image segmentation processor B. Bhanu , B. Hutchings and K. Smith, "VLSI design and implementation of a real-time image segmentation processor," International Journal of Machine Vision and Applications, Vol. 3, No. 1, pp. 21-44, 1990. Object RecognitionSegmentation	International Journal of Machine Vision and Applications	Link · Link
1989	Recognition of 3-D objects in range images using a butterfly multiprocessor B. Bhanu and L. Nuttall, "Recognition of 3-D objects in range images using a butterfly multiprocessor," Pattern Recognition, Vol. 22, No. 1, pp. 49-64, 1989. Object Recognition3DSpeciesTargets/ObjectsNavigation/Motion/Robotics	Pattern Recognition	Link · Link
1988	Approximation of displacement fields using wavefront region growing B. Bhanu and W. Burger, "Approximation of displacement fields using wavefront region growing," Computer Vision, Graphics and Image Processing, Vol. 41, No. 3, pp. 306-322, 1988. Object RecognitionNavigation/Motion/RoboticsSegmentation	Computer Vision, Graphics and Image Processing	Link · Link
1988	Machine vision for the battlefield B. Bhanu , "Machine vision for the battlefield," Scientific Honeyweller (Special Issue on Artificial Intelligence), Vol. 9, No. 1, pp. 57-67, 1988. Object Recognition	Scientific Honeyweller (Special	Legacy link
1987	3-D model building for computer vision B. Bhanu , C.C. Ho and T. Henderson, "3-D model building for computer vision," Pattern Recognition Letters, Vol. 5, pp. 349-356, 1987. 3D	Pattern Recognition Letters	Link · Link
1987	CAD-based 3-D object representation for robot vision B. Bhanu and C.C. Ho, "CAD-based 3-D object representation for robot vision," IEEE Computer, Vol. 20, No. 8, pp. 19-35, 1987. Object RecognitionTargets/ObjectsNavigation/Motion/Robotics3D	IEEE Computer	Link · Link
1987	CAD-based robot vision B. Bhanu , "CAD-based robot vision," IEEE Computer, Vol. 20, No. 8, pp. 13-16, 1987. Navigation/Motion/Robotics	IEEE Computer	Link
1987	Recognition of occluded objects: A cluster-structure algorithm B. Bhanu and J. Ming, "Recognition of occluded objects: A cluster-structure algorithm," Pattern Recognition, Vol. 20, No. 2, pp. 199-211, 1987. Object RecognitionTargets/Objects	Pattern Recognition	Link · Link
1987	Segmentation of natural scenes B. Bhanu and B. Parvin, "Segmentation of natural scenes," Pattern Recognition, Vol. 20, No. 5, pp. 487-496, 1987. Object RecognitionSegmentation	Pattern Recognition	Link · Link
1986	Automatic target recognition: State-of-the-art survey B. Bhanu , "Automatic target recognition: State-of-the-art survey," IEEE Transactions on Aerospace and Electronic Systems, AES Vol. 22, No. 4, pp. 364-379, 1986. Object RecognitionTargets/Objects	IEEE Transactions on Aerospace and Electronic Systems, AES	Link · Link
1985	Intrinsic characteristics as the interface between CAD and machine vision systems T. Henderson and B. Bhanu , "Intrinsic characteristics as the interface between CAD and machine vision systems," Pattern Recognition Letters, Vol. 3, pp. 425-430, 1985. Object Recognition	Pattern Recognition Letters	Link · Link
1985	Overview of the computer vision and robotics programme at the University of Utah T. Henderson and B. Bhanu , "Overview of the computer vision and robotics programme at the University of Utah. ," Image and Vision Computing, Vol. 3, No. 3, pp. 136-138, 1985. Navigation/Motion/Robotics	Image and Vision Computing	Link · Link
1985	The specification of distributed sensing and control T. Henderson, C. Hansen and B. Bhanu , "The specification of distributed sensing and control," Journal of Robotic Systems, Vol. 2, No. 4, pp. 387-396, 1985. Video Networks/AnalysisSensing and Control	Journal of Robotic Systems	Link · Link
1984	Representation and shape matching of 3-D objects B. Bhanu , "Representation and shape matching of 3-D objects," IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI Vol. 6, No. 3, pp. 340-351, 1984. Object Recognition3DTargets/ObjectsRegistration & Fusion	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link · Link
1984	Shape matching of two-dimensional objects B. Bhanu and O. Faugeras, "Shape matching of two-dimensional objects," IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI Vol. 6, No. 2, pp. 137-156, 1984. Object RecognitionTargets/ObjectsRegistration & Fusion	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link · Link
1982	Segmentation of images having unimodal distributions B. Bhanu and O. Faugeras, "Segmentation of images having unimodal distributions," IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI Vol. 4, No. 4, pp. 408-419, 1982. Video BioinformaticsPlant & Cancer CellsObject RecognitionSegmentation	IEEE Transactions on Pattern Analysis and Machine Intelligence	Link · Link
1980	On the computation of complex cepstrum B. Bhanu and J.H. McClellan, "On the computation of complex cepstrum," IEEE Transactions on Acoustics, Speech, and Signal Processing, ASSP Vol. 28, No. 5, pp. 583-585, 1980. Object RecognitionCepstrum	IEEE Transactions on Acoustics, Speech, and Signal Processing, ASSP	Link · Link

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