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IEEE Computer Society Workshop on Biometrics · CVPR 2018

CVPR 2018 Biometrics Workshop

In conjunction with CVPR 2018 · Workshop date: June 18, 2018

Call for Papers

With a very security conscious society, biometrics based authentication and identification have become center of focus for many important applications as it is believed that biometrics can provide accurate and reliable identification. Biometrics research and technology continue to mature rapidly, driven by pressing industrial and government needs and supported by industrial and government funding. As the number and types of biometrics architectures and sensors increases, the need to disseminate research results increases as well. This workshop is intended to be positioned at the frontier of biometrics research and showcase the most excellent and advanced work underway at academic and private research organizations as well as government labs.

Many of the applications require higher level of accuracy performance not feasible with a single biometrics today. Additionally, it is also believed that fusing multiple biometrics will also improve wider coverage of population who may not be able to provide a single biometrics and also improve security of the systems in terms of spoof attacks. This workshop will address all aspects of research issues in different modes and levels of fusion of biometrics samples, sensing modes and modalities with a sole goal of improving performance of biometrics. Theoretical studies on sensor fusion techniques applied to biometrics authentication, recognition and performance are encouraged. The topics of interest are:

- Sensing; intensity, depth, thermal, pressure, time-series, exotic - Face, finger, ear, eye, iris, retina, vein pattern, palm, gait, foot, exotic - Biometric template computation and feature extraction, matching - Data and performance baselines - Evolution of standards, competitions and organized challenge problems - Score level, decision level and feature level integration - Architectures for integration, evidence integration - Fusion based identification techniques - Normalization techniques involved in fusion techniques - Machine learning techniques in biometrics fusion - Public databases and score files in multi-biometrics - Application dependence personalization of multi-biometrics systems - Theoretical studies in showing models for integration - Performance modeling, prediction and evaluation of multi-biometrics systems - Security improvement assessment for multi-biometrics systems

Overall Meeting Sponsors

Computer Vision Foundation logoIEEE Computer Society logo

Organizing Committee

General Chair: Bir Bhanu (University of California, Riverside, bbhanu@ucr.edu)

Program Chair: Ajay Kumar (The Hong Kong Polytechnic University, Ajay.Kumar@polyu.edu.hk)

Program Committee

Important Dates

Paper submission: March 5, 2018 Decisions: April 4, 2018 Camera ready papers due: April 15, 2018

Workshop Date: June 18, 2018

Technical Program



  Opening Remarks (8:15-8:20), Bir Bhanu (University of California Riverside, USA), Ajay Kumar (The Hong Kong Polytechnic University, Hong Kong)
S1 Face and Signature Verification (8:20-9:20am), Session Chair: Jiwen Lu (Tsinghua University, Beijing, China)
  Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database (8:20-8:40) Link
  Yoanna Martínez Díaz, (CENATAV, Cuba); Heydi Mendez-Vazquez (CENATAV, Cuba), Leyanis Lopez (CENATAV, Cuba),
  Leonardo Chang (Tecnológico de Monterrey; Mexico), Luis Succar (INAOE, Mexico), Massimo Tistarelli (University of Sassari, Italy)
  Dict Layer: A Structured Dictionary Layer (8:40-9:00) Link
  Yefei Chen (Shanghai Jiao Tong University, China), Jianbo Su (Shanghai Jiao Tong University, China)
  Hierarchical Dictionary Learning and Sparse Coding for Static Signature Verification (9:00-9:20)
  Ιlias Zois (University of West Attica, Greece), Marianna Papagiannopoulou (University of Patras, Geece), Dimitrios Tsourounis (University of Patras. Greece),
  George Economou (University of Patras, Greece)
S2 Iris Recognition and Security (9:20-10:00am), Session Chair: Adams Kong (Nanyang Technological University, Singapore)
  Realtime Quality Assessment of Iris Biometrics under Visible Light (9:20-9:30) Link
  Mohsen Jenadeleh (University of Konstanz, Germany), Marius Pedersen (NTNU, Gjovik, Norway), (Dietmar Saupe, University of Konstanz, Germany)
  Multi-Frame Super Resolution for Ocular Biometrics (9:30-9:40) Link
  Narsi Reddy (University of Missouri - Kansas City, USA), Dewan Fahim Noor (University of Missouri-Kansas City, USA), Zhu Li (University of Missouri-Kansas City, USA),
  Reza Derakhshani (University of Missouri - Kansas City, USA)
  Face Template Protection using Deep Convolutional Neural Network (9:40-9:50)
  Arun Jindal (TATA Consultancy Services, India), Srinivas Chalamala (TATA Consultancy Services, India), Santosh Kumar Jami (TATA Consultancy Services, India)
  Incorporating Touch Biometrics to Mobile One-Time Passwords: Exploration of Digits (9:50-10:00) Link
  Ruben Tolosana (Universidad Autonoma de Madrid, Spain), Rubén Vera Rodríguez (Universidad Autónoma de Madrid, Spain),
  Julian Fierrez (Universidad Autonoma de Madrid, Spain), Javier Ortega-Garcia (Universidad Autnoma de Madrid, Spain)
  Coffee Break (10:00-10:30am)                
  Invited Talk (10:30pm to 11:30), Session Chair:  Richa Singh (Indraprastha Institute of Information Technology, Delhi, India)
  Face Recognition by Deep Learning - The Imbalance Problem
  Chen Change Loy
  Department of Information Engineering            The Chinese University of Hong Kong, Hong Kong
S3 Cross Domain and Low Resolution Face Recognition (11:30-12:30), Session Chair: Terrance Boult (University of Colorado at Colorado Springs, USA)
  Identity Aware Synthesis for Cross Resolution Face Recognition (11:30-11:50)
  Maneet Singh (IIIT-Delhi, India), Shruti Nagpal (IIIT-Delhi, India), Mayank Vatsa (IIIT-Delhi, India) , Richa Singh (IIIT-Delhi, India), Angshul Majumdar (IIIT Delhi, India)
  GenLR-Net: Deep framework for very low resolution face and object recognition with generalization to unseen categories (11:50-12:10) Link
  Sivaram Mudunuri (Indian Institute of Science, India), Soubhik Sanyal (Max Planck Institute for Intelligent Systems, Germany), Soma  Biswas (Indian Institute of Science, India)
  Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition (12:10-12:30)
  Hadi Kazemi (West Virginia University, USA), Sobhan Soleymani (West Virginia University, USA), Ali Dabouei (West Virginia University, USA),
  Seyed Mehdi Iranmanesh (West Virginia University, USA), Nasser Nasrabadi (West Virginia University, USA)
S4 Fingerprint and Signature Verification (12:30-1:00pm), Session Chair: Julian Fierrez (Universidad Autonoma de Madrid, Spain)
  Latent Fingerprint Image Quality Assessment Using Deep Learning (12:30-12:40) Link
  Jude Ezeobiejesi (University of California Riverside, USA), Bir Bhanu (University of California Riverside, USA)
  Unconstrained Fingerphoto Database (12:40-12:50)
  Shaan Chopra (IIIIT-Delhi, India), Aakarsh Malhotra (IIIT-Delhi, India), Mayank Vatsa (IIIT-Delhi, India), Richa Singh (IIIT-Delhi, India)
  Hybrid User-Independent and User-Dependent Offline Signature Verification with a Two-Channel CNN (12:50-1:00) Link
  Berkay Yılmaz (Akdeniz University, Turkey), Kağan Öztürk (Akdeniz University, Turkey)
  Lunch Break (1:00-2:00pm)
S5 Face Detection and Recognition (2:00-2:30pm), Session Chair: Koichi Ito (Tohoku University, Japan)
  It takes two to tango: Cascading off-the-shelf face detectors (2:20-2:30) Link
  Siqi Yang (University of Queensland, Australia), Arnold Wiliem (University of Queensland, Australia), Brian Lovell (University of Queensland, Australia)
  Time Analysis of Pulse-based Face Anti-Spoofing in Visible and NIR (2:10-2:20) Link
  Javier Hernandez-Ortega (Universidad Autonoma de Madrid, Spain), Julian Fierrez (Universidad Autonoma de Madrid, Spain),
  Aythami Morales (Universidad Autonoma de Madrid, Spain), Pedro Tome (Universidad Autonoma de Madrid, Spain)
  A Deep Face Identification Network Enhanced by Facial Attributes Prediction (2:20-2:30)
  Fariborz Taherkhani (West Virginia University, USA), Nasser Nasrabadi (West Virginia University, USA), Jeremy Dawson (West Virginia University, USA)
S6 Soft Biometrics and Presentation Attack Detection (2:30 -3:30pm), Session Chair: Venu Govindaraju (University at Buffalo, SUNY, USA)
  Gait Recognition by Deformable Registration (2:30-2:50) Link
  Yasushi Mahikara (Osaka University, Japan), Daisuke Adachi (Osaka University, USA), Chi Xu (Nanjing University of Science and Techology, China),
  Yasushi Yagi (Osaka University, Japan)
  Fusion of Handcrafted and Deep Learning Features for Large-scale Multiple Iris Presentation Attack Detection (2:50-3:10)
  Daksha Yadav (West Virginia University, USA), Naman Kohli (West Virginia University, USA), Akshay Agarwal (IIIT Delhi, India), Mayank Vatsa (IIIT-Delhi, USA), 
  Richa Singh (IIIT Delhi, India), Afzel Noore (West Virginia University, USA)
  Hierarchical Network for Facial Palsy Detection (3:10-3:30) Link
  Gee-Sern Hsu (National Taiwan University of Science and Technology, Taiwan), Wen-Fong Huang (National Taiwan University of Science and Technology, Taiwan),
  Jiunn-Horng Kang (Taipei Medical University, Taiwan)
  Coffee Break (3:30-4:00pm)
  Panel Session (4:00pm to 5:00pm), Panel Chair:  Brian Lovell (University of Queensland, Australia)
  Topic: Impact of Deep Learning on Biometrics and Trends Link1 Link 2
  Awards, Valedictory and Closing Remarks (5:00-5:10), Bir Bhanu (University of California Riverside, USA)
  S1, S3, S6 ® 20 Minutes Oral Presentations (15 Minutes Presentation + 5 Minutes for Q/A and Setup Time) 
  S2, S4, S5 ® 10 Minutes Short Oral Presentations (8 Minutes Presentation + 2 Minutes for Q/A and Setup Time) 
  Posters corresponding to all papers can be displayed by  8:00 am and removed by 5:30pm. Posters should be attended at least during the breaks.

Invited Talks and Panel

Invited Talk

Title of the Talk: Face Recognition by Deep Learning - The Imbalance Problem Presenter: Chen Change Loy

Panel Session

Panel Title: Impact of Deep Learning on Biometrics and Trends Panel Session Chair: Brian Lovell Panelists: Gang Hua (Microsoft, USA) Xiaoming Liu (Michigan State University, USA) Mayank Vasta (IIIT, Delhi, India) Terry Boult (University of Colorado at Colorado Springs, USA)

Paper Submission

  1. All the submissions will be subjected to double-blind review process. Therefore author names, affiliations, email addresses, personal acknowledgements, etc. should be removed from the paper. Please use the submission template [Latex] [MS-Word].
  2. The submissions can be up to 8 pages (excluding references) during the review process.
  3. All the papers must be submitted in IEEE format using the templates provided. Submitted papers should not have been published, accepted or under review elsewhere.
  4. Authors are required by the IEEE to transfer copyrights for any papers to be published in the conference proceedings. This is performed at the time when the camera ready version is submitted for production. If a paper is withdrawn from the proceedings, copyright gets reverted to the authors.
  5. All the papers should be submitted using CMT at https://cmt3.research.microsoft.com/CVPRW2018

Accepted Papers

  List of Papers Accepted for CVPR 2018 Biometrics Workshop
Paper ID Paper Title
1 GenLR-Net: Deep framework for very low resolution face and object recognition with generalization to unseen categories
6 Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition
8 Dict Layer: A Structured Dictionary Layer
10 Hybrid User-Independent and User-Dependent Offline Signature Verification with a Two-Channel CNN
13 It takes two to tango: Cascading off-the-shelf face detectors
14 Gait Recognition by Deformable Registration
15 Face Template Protection using Deep Convolutional Neural Network
16 Hierarchical Dictionary Learning and Sparse Coding for Static Signature Verification
18 Realtime Quality Assessment of Iris Biometrics under Visible Light
23 Incorporating Touch Biometrics to Mobile One-Time Passwords: Exploration of Digits
26 Time Analysis of Pulse-based Face Anti-Spoofing in Visible and NIR
29 A Deep Face Identification Network Enhanced by Facial Attributes Prediction
33 Multi-Frame Super Resolution for Ocular Biometrics
37 Toward More Realistic Face Recognition Evaluation in the YouTube Faces Database
38 Hierarchical Network for Facial Palsy Detection
40 Unconstrained Fingerphoto Database
41 Fusion of Handcrafted and Deep Learning Features for Large-scale Multiple Iris Presentation Attack Detection
43 Latent Fingerprint Image Quality Assessment Using Deep Learning
45 Identity Aware Synthesis for Cross Resolution Face Recognition

* The reviews for all the papers submitted for the CVPR 2018 Biometrics Workshop can be accessed from CMT on April 6, 2018.

** Details for the camera ready submission and instructions will be sent by email.

Workshop Venue

Salt Palace Convention Center (weblink https://www.visitsaltlake.com/salt-palace-convention-center/) Salt Lake City, Utah, USA

Contact Us

Bir Bhanu Email: bbhanu@ucr.edu

Ajay Kumar Email: Ajay.Kumar@polyu.edu.hk

VisLab · Visualization and Intelligent Systems Laboratory