CVPR 2020 Biometrics Workshop

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:

Overall Meeting Sponsors

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)

• Josef Bigun, Halmstad University, Sweden
• Josef Kittler, University of Surrey, UK
• B.V.K. Vijaya Kumar, Carnegie Mellon University, USA
• Rama Chellappa, University of Maryland, USA
• Jonathon Phillips, NIST, USA
• Arun Ross, Michigan State University, USA
• Hazim Ekenel, Istanbul Technical University, Turkey
• Matteo Ferrara, University of Bologna, Italy
• Pong C Yuen, Hong Kong Baptist University, Hong Kong
• Karthik Nandakumar, IBM Research Collaboratory, Singapore
• Christoph Busch, Fraunhofer Institute, Germany
• Julian Fierrez, Universidad Autonoma de Madrid, Spain
• Koichi Ito, Tohuku University, Japan
• Chenhao Lin, SenseTime, Shenzhen, China
• Anush Sankaran, IBM Research, India
• Venu Govindaraju, SUNY Beffalo, USA
• Vishal Patel, Johns Hopkins University, USA
• Zhenan Sun, NLPR, Beijing, China
• Dijana Petrovska, Telecom SudParis, France
• Olga Bellon, Universidade Federal do Parana, Brazil
• Iacopo Masi, University of Southern California, USA
• Vitomir Struc, University of Ljubljana, Slovenia
• Yasushi Makihara, Osaka University, Japan
• Wei-Shi Zheng, Sun Yat-Sen University, China

Paper submission: March 4, 2020 (11:59pm PST) Decisions: April 13, 2020 Camera ready papers due: April 18, 2020

Workshop Date: June 19, 2020

Title of the Talk: Human Gait Analysis and its Applications Presenter: Yasushi Yagi, Osaka University, Japan Abstract: Everyone's walking style is unique, human gait is a prime candidate for person authentication tasks. Our gait analysis technologies are now being used in real criminal investigations. We have constructed a large-scale gait database, and proposed several methods of gait analysis. The appearances of gait patterns are influenced by changes in viewpoint, walking direction, speed, clothes, and shoes. To overcome these problems, we have proposed several approaches using a part-based method, an appearance-based view transformation model, a periodic temporal super resolution method, a manifold-based method and score-level fusion. We show the efficiency of our approaches by evaluating them with our large gait database. Furthermore, in this talk, I briefly introduce some studies on its medical applications.

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. All the papers accepted for the biometrics workshop must be presented by one of the authors, and at least one of the authors must register at the standard registration rate before the paper registration deadline. If any accepted paper is not presented by any of the registered co-authors of this paper, it will be recommended for withdrawal from the IEEE Xplore proceedings and no communication will be sent to any of the co-authors.
5. 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.
6. All the papers should be submitted using CMT at https://cmt3.research.microsoft.com/CVPRW2020

Best Paper Award:

• Suman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel, Luc Van Gool for the paper “Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing” Presented at CVPR 2020 Biometrics Workshop

Highest Impact Award:

• Mostafa Mehdipour Ghazi, Hazim Kemal Ekenel for the paper “A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition” Presented at CVPR 2016 Biometrics Workshop

The Washington State Convention Center (weblink http://cvpr2020.thecvf.com/) Seattle, Washington

Bir Bhanu Email: bbhanu@ucr.edu

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