Conference Program

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BTAS 2016 Conference Program
September 6th, 2016
Tutorials
9:00 Registration Desk Opens
9:30 - 12:30 Advances in Mobile and Remote Biometrics, Yunbin Deng, BAE Systems, USA
9:30 - 12:30 Iris Recognition: Fundamentals to Future Topics, Kevin W. Bowyer, University of Notre Dame, USA
12:30 - 14:00 Lunch Break
14:00 - 17:00 Deep Learning for Biometrics, Mayank Vatsa, IIIT Delhi, India and Vishal Patel, Rutgers University, USA
14:00 - 17:00 Soft Biometrics: Algorithms and Applications, Mark Nixon, University of Southampton, UK and Arun Ross, Michigan State University, USA
September 7th, 2016
8:30 Registration Desk Opens
8:45 Opening Session
9:00 History of BTAS
9:15 Presentation of Biometric Council Award on Leadership
9:30 - 10:30 Oral Session #1: Iris
O1 A Study on Iris Textural Correlation using Steering Kernels: Yang Hu, University of Kent; Konstantinos Sirlantzis, University of Kent; Gareth Howells, University of Kent
O2 Investigating the Impact of Drug Induced Pupil Dilation on Automated Iris Recognition: Inmaculada Tomeo-Reyes, Queensland University of Technology; Arun Ross, Michigan State University; Vinod Chandran, Queensland University of Technology
O3 The BTAS Competition on Mobile Iris Recognition: Man Zhang, Institute of Automation of, Chinese Academy of Sciences; Qi Zhang, Institute of Automation of, Chinese Academy of Sciences; Zhenan Sun, Institute of Automation of, Chinese Academy of Sciences ; Shujuan Zhou, Beijing Bata Technology Co. Ltd.; Nasir Uddin Ahmed, TigerIT Bangladesh Limited
10:30 - 10:50 Coffee Break
10:50 - 11:50 Keynote #1 by Mark Frank
11:50 - 12:30 Poster Session #1: Spotlights
P1 Unconstrained Human Identification Using Comparative Facial Soft Biometrics: Nawaf Almudhahka, University of Southampton; Jonathon Hare, University of Southampton; Mark Nixon, University of Southampton
P2 Subspace Learning via Low Rank Projections for Dimensionality Reduction: Devansh Arpit, SUNY Buffalo; Chetan Ramaiah, SUNY Buffalo; Venu Govindaraju, University at Buffalo, USA
P3 Template Aging in 3D and 2D Face Recognition: Ishan Manjani, IIIT-Delhi, India; Hakki Doganer Sumerkan, University of Notre Dame; Patrick Flynn, University of Notre Dame; Kevin Bowyer, University of Notre Dame
P4 On Categorising Gender in Surveillance Imagery: Daniel Martinho-Corbishley, University of Southampton; Mark Nixon, University of Southampton; John Carter, University of Southampton
P5 Facial dynamic modelling using long short-term memory network: Seong Tae Kim, KAIST, Republic of Korea; Dae Hoe Kim, KAIST, Republic of Korea; Yong Man Ro, KAIST, Republic of Korea
P6 On Accuracy Estimation in Biometric Research based on Face Images: Domingo Mery, Universidad Católica de Chile; Yuning Zhao, University of Notre Dame; Kevin Bowyer, University of Notre Dame
P7 Multiscale Representation for Partial Face Recognition Under Near Infrared Illumination: Lingxiao He, Institute of Automation of, Chinese Academy of Sciences; Haiqing Li, Institute of Automation of, Chinese Academy of Sciences; Qi Zhang, Institute of Automation of, Chinese Academy of Sciences; Zhenan Sun, Institute of Automation of, Chinese Academy of Sciences
P8 On the Robustness of Audiovisual Liveness Detection to Visual Speech Animation: Jukka Komulainen, University of Oulu; Iryna Anina, University of Oulu; Jukka Holappa, University of Oulu; Elhocine Boutellaa, Centre de Développement des Technologies Avancées; Abenour Hadid, University of Oulu, Finland
P9 Toward Facial Re-Identification: Experiments with Data from an Operational Surveillance Camera Plant: Pei Li, University of Notre Dame; Joel Brogan, University of Notre Dame; Patrick Flynn, University of Notre Dame
P10 RGB-D Face Recognition via Learning-based Reconstruction: Anurag Chowdhury, IIIT-Delhi; Soumyadeep Ghosh, IIIT-Delhi; Richa Singh, IIIT-Delhi; Mayank Vatsa, IIIT-Delhi
P11 Face Anti-spoofing using Haralick Texture Descriptors: Akshay Agarwal, IIIT-Delhi; Richa Singh, IIIT-Delhi; Mayank Vatsa, IIIT-Delhi
12:30 - 14:00 Lunch Break
14:00 - 15:00 Poster Session #1
15:00 - 16:00 Oral Session #2: Special Session of Biometrics on Mobile Devices
O4 An Empirical Evaluation of Activities and Classifiers for User Identification on Smartphones: Chunxu Tang, Syracuse University; Vir Phoha, Syracuse University
O5 Fingerphoto Spoofing in Mobile Devices: A Preliminary Study: Archit Taneja, IIIT-Delhi; Aakriti Tayal, IIIT-Delhi; Aakarsh Malhotra, IIIT-Delhi; Anush Sankaran, IIIT-Delhi; Mayank Vatsa, IIIT-Delhi; Richa Singh, IIIT-Delhi
O6 Quickest Intrusion Detection in Mobile Active User Authentication: Pramuditha Perera, Rutgers University; Vishal Patel, Rutgers, The State University of New Jersey
16:00 - 17:20 Oral Session #3: Security & Privacy
O7 Demystifying Magical Passport: A Robust Morphed Face Image Detection Scheme: Raghavendra Ramachandra, NTNU, Norway; Kiran Raja, NTNU, Norway; Christoph Busch, NTNU, Norway
O8 Multi-patch Convolution Neural Network for Iris Liveness Detection: Lingxiao He, Institute of Automation of, Chinese Academy of Sciences; Haiqing Li, Institute of Automation of, Chinese Academy of Sciences; Fei Liu, Institute of Automation of, Chinese Academy of Sciences; Nianfeng Liu, Institute of Automation of, Chinese Academy of Sciences; Zhenan Sun, Institute of Automation of, Chinese Academy of Sciences
O9 Your Substance Abuse Disorder is an Open Secret! Gleaning Sensitive Personal Information from Templates in an EEG-based Authentication System: Richard Matovu, Texas Tech University; Abdul Serwadda, Texas Tech University
O10 Overview of BTAS 2016 Speaker Anti-spoofing Competition: Pavel Korshunov, Idiap Research Institute; Sébastien Marcel, Idiap Research Institute; Hannah Muckenhirn, Idiap Research Institute; Andre Ricardo Goncalves, Center for Research and Development in Telecommunications; Alan Godoy Souza Mello, Center for Research and Development in Telecommunications; Ricardo Paranhos Velloso Violato, Center for Research and Development in Telecommunications; Flavio Olmos Simoes, Center for Research and Development in Telecommunications; Marcus Angeloni, Center for Research and Development in Telecommunications; Marcus de Assis Angeloni, Center for Research and Development in Telecommunications; Jose Augusto Stuchi, Center for Research and Development in Telecommunications; Heinrich Dinkel, Shanghai Jiao Tong University; Nanxin Chen, Shanghai Jiao Tong University; Yanmin Qian, Shanghai Jiao Tong University; Dipjyoti Paul, Indian Institute of Technology; Goutam Saha, Indian Institute of Technology; Md Sahidullah, University of Eastern Finland
19:00 Reception
September 8th, 2016
8:45 - 10:30 Oral Session #4: Special Session on Face Representation Learning
O11 Estimation of Visible Spectrum Faces from Polarimetric Thermal Faces: Benjamin Riggan, US Army Research Laboratory; Nathaniel Short, US Army Research Laboratory; Shuowen Hu,US Army Research Laboratory; Heesung Kwon, US Army Research Laboratory
O12 Towards a Deep Learning Framework for Unconstrained Face Detection: Yutong Zheng, Carnegie Mellon University; Chenchen Zhu, Carnegie Mellon University; Khoa Luu, Carnegie Mellon University; Chandrasekhar Bhagavatula, Carnegie Mellon University; T. Hoang Ngan Le, Carnegie Mellon University; Marios Savvides, Carnegie Mellon University
O13 Triplet Probabilistic Embedding for Face Verification and Clustering: Swami Sankaranarayanan, University of Maryland; Azadeh Alavi, University of Maryland; Carlos Castillo, Center for Automation Research, University of Maryland, College Park; Rama Chellappa, University of Maryland
O14 A Cascaded Convolutional Neural Network for Age Estimation of Unconstrained Faces: Jun-Cheng Chen, University of Maryland; Amit Kumar, University of Maryland; Rajeev Ranjan, University of Maryland; Vishal Patel, Rutgers, The State University of New Jersey; Azadeh Alavi, University of Maryland; Rama Chellappa, University of Maryland
O15 Report on the BTAS 2016 Video Person Recognition Evaluation:Walter Scheirer, University of Notre Dame; Patrick Flynn, University of Notre Dame; Changxing Ding, University of Technology, Sydney; Guodong Guo, West Virginia University; Vitomir Struc, University of Ljubljana; Mohamad Al Jazaery, West Virginia University; Simon Dobrisek, University of Ljubljana; Klemen Grm, University of Ljubljana; Dacheng Tao, University of Technology, Sydney; Yu Zhu, West Virginia University
10:30 - 10:50 Coffee Break
10:50- 11:50 Keynote #2 by Lior Wolf
11:50 - 12:30 Poster Session #2: Spotlights
P12 Biometric Identification of Identical Twins: A Survey: Kevin Bowyer, University of Notre Dame; Patrick Flynn, University of Notre Dame
P13 Continuous Authentication of Smartphone Users by Fusing Typing, Swiping and Phone Movement Patterns: Rajesh Kumar, Syracuse University; Vir Phoha, Syracuse, NY USA; Abdul Serwadda, Texas Tech University
P14 Very Low-Resolution Iris Recognition Via Eigen-Patch Super-Resolution and Matcher Fusion: Fernando Alonso-Fernandez, Halmstad University; Reuben Farrugia, University of Malta; Josef Bigun, Halmstad University
P15 Automated Classification of Mislabeled Near-Infrared Left and Right Iris Images using Convolutional Neural Networks: Yixin Du, West Virginia University; Thirimachos Bourlai, West Virginia University; Jeremy Dawson, West Virginia University
P16 Pitfalls In Studying “Big Data” From Operational Scenarios: Kevin Bowyer, University of Notre Dame; Estefan Ortiz, University of Notre Dame
P17 On Matching Cross-Spectral Periocular Images for Accurate Biometrics Identification: Pattabhi Ramaiah, The Hong Kong Polytechnic University; Ajay Kumar, The Hong Kong Polytechnic University
P18 Convolutional Neural Networks for Attribute-based Active Authentication On Mobile Devices: Pouya Samangouei, University of Maryland; Rama Chellappa, University of Maryland
P19 Active User Authentication for Smartphones: A Challenge Data Set and Benchmark Results: Upal Mahbub, University of Maryland College Park; Sayantan Sarkar, Center for Automation Research, University of Maryland; Vishal Patel, Rutgers, The State University of New Jersey; Rama Chellappa, University of Maryland
P20 Joint Operation of Voice Biometrics and Presentation Attack Detection: Pavel Korshunov, Idiap; Sébastien Marcel, Idiap
P21 A Multibiometrics-based CAPTCHA for Improved Online Security: Brian M. Powell, West Virginia University; Abhishek Gupta, IIIT-Delhi; Jatin Thapar, IIIT-Delhi; Gaurav Goswami, IIIT-Delhi; Richa Singh, IIIT-Delhi; Mayank Vatsa, IIIT-Delhi; Afzel Noore, West Virginia University
P22 Detecting Medley of Iris Spoofing Attacks using DESIST: Naman Kohli, West Virginia University; Daksha Yadav, West Virginia University; Mayank Vatsa, IIIT-Delhi; Richa Singh, IIIT-Delhi, India; Afzel Noore, West Virginia University
12:30 - 14:00 Lunch Break with Doctoral Consortium
14:00 - 15:00 Poster Session #2
15:00 - 16:00 Keynote #3 by Christopher Miles
16:00 - 17:00 Oral Session #5: Other Biometric Modalities & Fusion
O16 Long Range Standoff Speaker Identification Using Laser Doppler Vibrometer: Yunbin Deng, BAE Systems
O17 Depth-based Action Recognition Using Multiscale Sub-actions Depth Motion Maps and local Auto-correlation of Space-time Gradients: Chengwu Liang, Zhengzhou University; Ling Guan, Ryerson University; Enqing Chen, Zhengzhou University; Lin Qi, Zhengzhou University
O18 Fixed FAR Correction Factor of Score Level Fusion: Nanang Susyanto; University of Amsterdam, Raymond Veldhuis; University of Twente, Luuk Spreeuwers; University of Twente, Chris Klaassen; University of Amsterdam
17:00 - 17:20 IEEE Biometrics Council Activities
19:00 Dinner and Awards
September 9th, 2016
8:45 - 9:45 Oral Session #6: Special Session on Biometrics in Forensics
O19 Fastfood Dictionary Learning for Periocular-Based Full Face Hallucination: Felix Juefei-Xu, Carnegie Mellon University; Marios Savvides, Carnegie Mellon University
O20 Environmental Effects on Biometrics during Natural Human Decomposition: David Bolme, Oak Ridge National Laboratory; Ryan Tokola, Oak Ridge National Laboratory; Christopher Boehnen, Oak Ridge National Laboratory; Tiffany Saul, University of Tennessee, Knoxville; Kelly Sauerwein, University of Tennessee, Knoxville; Dawnie Steadman, University of Tennessee, Knoxville
O21 Human Iris Recognition in Post-mortem Subjects: Study and Database: Mateusz Trokielewicz, NASK; Adam Czajka, NASK and Warsaw University of Technology; Piotr Maciejewicz, Medical University of Warsaw
9:45 - 10:45 Industrial Track
10:45 - 11:00 Coffee Break
11:00- 12:00 Keynote #4 by Kalanit Grill-Spector
12:00 - 12:30 Poster Session #3: Spotlights
P23 Which Finger is the Best for Finger Vein Recognition?: He Zheng, PKU; Yapeng Ye, Peking University; Liao Ni, Peking University; Shilei Liu, Peking University; Wenxin Li, Peking University
P24 Adaptive Techniques for Intra-User Variability in Keystroke Dynamics: Hayreddin Ceker, University at Buffalo; Shambhu Upadhyaya, University at Buffalo
P25 PRNU-Based Image Alignment for Defective Pixel Detection: Christof Kauba, University of Salzburg; Andreas Uhl, University of Salzburg
P26 A Multimedia Application for Location-based Semantic Retrieval of Tattoos: Michael Martin, West Virginia University; Thirimachos Bourlai, West Virginia University; Xuan Xu, West Virginia University
P27 On the Reproducibility and Repeatability of Likelihood Ratio in Forensics: A case study using Face Biometrics: Nik Suki, University of Surrey; Norman Poh, University of Surrey
P28 Using a CNN Ensemble for Detecting Pornographic and Upskirt Images: Yi Huang, Nanyang Technological University; Adams Kong, Nanyang Technological University, Singapore
P29 Long-Term People Reidentification using Anthropometric Signature: Mohamed Hasan, Osaka University; Noborou Babaguchi, Osaka University
P30 Biometric Authentication Using Photoplethysmography Signals: Abhijit Sarkar, Virginia Tech; Lynn Abbott, Virginia Tech; Zachary Doerzaph, Virginia Tech Transportation Institute
P31 Cross Spectral Cross Resolution Video Database for Face Recognition, Maneet Singh, IIIT-Delhi; Shruti Nagpal, IIIT-Delhi; Nikita Gupta, IIIT-Delhi; Sanchit Gupta, IIIT-Delhi; Soumyadeep Ghosh, IIIT-Delhi; Mayank Vatsa, IIIT-Delhi; and Richa Singh, IIIT-Delhi
P32 Keystroke Biometric Studies with Short Numeric Input on Smartphones: Michael Coakley, Pace University; John Monaco, US Army Research Laboratory; Charles Tappert, Pace University
12:30 - 14:00 Lunch Break
14:00 - 15:00 Poster Session #3
15:00 - 16:00 Panel Discussion
16:00 - 17:00 Oral Session #7: Keystroke
O22 Enhanced Recognition of Keystroke Dynamics in Long-Text Data: Hayreddin Ceker, University at Buffalo; Shambhu Upadhyaya, University at Buffalo
O23 Crossing Domains with the Inductive Transfer Encoder: Case Study in Keystroke Biometrics: John Monaco, US Army Research Laboratory; Manuel Vindiola, US Army Research Laboratory
O24 KBOC: Keystroke Biometrics OnGoing Competition Aythami Morales, Universidad Autonoma de Madrid, Spain; Julian Fierrez, Universidad Autonoma de Madrid; Marta Gomez-Barrero, Universidad Autonoma de Madrid; Javier Ortega-Garcia, Universidad Autonoma de Madrid; Roberto Daza, Universidad Autonoma de Madrid
17:00 - 17:20 Closing Session and Best Poster Award (Day 3)