Workshop Program

The ChaLearn Looking at People CVPR Workshop 2016, to be held next July 1st in conjunction with CVPR 2016 in Las Vegas, Nevada, will be devoted to the presentation of the most recent and challenging techniques for face analysis, including all its aspects.

PROGRAM (Tentative):

08:45h Opening: Presentation of the workshop, Sergio Escalera (UB-CVC) & Michel Valstar (University of Nottingham)

09:00h Invited Speaker I: DCNN: The Gift that Keeps on Giving, Rama Chellapa, University of Maryland

Session chair: Xavier Baró

09:45h Session I: Challenge results presentation and award ceremony, Sergio Escalera, (UB-CVC) & Michel Valstar (University of Nottingham)

  • ChaLearn Looking at People and Faces of the World: Face Analysis Workshop and Challenge 2016, Sergio Escalera, Mercedes Torres-Torres, Brais Martinez, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Georgios Tzimiropoulos, Ciprian Corneanu, Marc Oliu Simón, Mohammad Ali Bagheri, Michel Valstar.

Session chair: Xavier Baró

10:00h Coffee Break

10:30h Session II: Winners Apparent Age Estimation  (Challenge Track 1)

  • 1st: Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning Models. Grigory Antipov, Moez Baccouche, Sid-Ahmed Berrani, Jean-Luc Dugelay.

  • 2nd: Deep Age Distribution Learning for Apparent Age Estimation. Zengwei Huo, Xu Yang, Chao Xing, Ying Zhou, PengHou, JiaqiLv, XinGeng

  • 3rd: Structured Output SVM Prediction of Apparent Age, Gender and Smile From Deep Features. Michal Uricar,  Radu Timofte, Rasmus Rothe, Jiri Matas, Luc Van Gool

Session chair: Xavier Baró

11:15h Session III: Winners on Smile & gender recognition  (Challenge Tracks 2,3)

  • Gender and Smile Classification using Deep Convolutional Neural Networks.   Kaipeng Zhang, Lianzhi Tan, Zhifeng Li, Yu Qiao.

  • DeepBE: Learning Deep Binary Encoding for Multi-Label Classification. Chenghua Li, Qi Kang, Guojing Ge, Qiang Song, Hanqing Lu, Jian Cheng.

  • Facial Attributes Classification using Multi-Task Representation Learning. Max Ehrlich, Timothy Shields, Timur Almaev, Mohamed Amer.

Session chair: Michel Valstar

12:00h: Invited Speaker II: Beyond Static Features: Emotion in the Dynamics of Face and Body Motion, Jeffrey Cohn, University of Pittsburgh, Carnegie Mellon University

Session Chair: Hugo Escalante

12:35h Lunch break (on your own)

14:35h: Session IV: Looking at Faces I

  • ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition. Jun Wan, Yibing Zhao, Shuai Zhou, Isabelle Guyon, Sergio Escalera, Stan Li.

  • Dominant Codewords Selection with Topic Model for Action Recognition. Hirokatsu Kataoka, Masaki Hayashi, Y Aoki, Kenji Iwata, Yutaka Satoh, Slobodan Ilic.

  • Inferring Visual Persuasion via Body Language, Setting, and Deep Features. Xinyue Huang, Adriana Kovashka.

Session Chair: Marc Oliu Simón

15:25h Coffee Break

16:00h: Invited Speaker III: Talk TBA, Florian Schroff, Google

16:40h Session V: Looking at Faces II

  • Kernel ELM and CNN based Facial Age Estimation. Furkan Gurpinar, Heysem Kaya, Hamdi Dibeklioglu, Ali Salah.

  • Person-independent 3D Gaze Estimation using Face Frontalization. Laszlo Jeni, Jeffrey Cohn.

  • Apparent Age Estimation Using Ensemble of Deep Learning Models. Refik Malli, Mehmet Aygun, Hazim Ekenel.

  • Identifying Same Persons from Temporally Synchronized Videos Taken by Multiple Wearable Cameras. Kang Zheng, Hao Guo, Xiaochuan Fan, Hongkai Yu, Song Wang.

Session Chair: Ciprian Corneanu

17:40h Closing: Closing ceremony & announcements, Sergio Escalera (UB-CVC) & Michel Valstar (University of Nottingham)

Session Chair: Sergio Escalera

Short bios of  Invited Speakers:

Rama Chellappa, University of Maryland

Prof. Rama Chellappa is a Minta Martin Professor of Engineering and Chair of the ECE department at the University of Maryland. Prof. Chellappa received the K.S. Fu Prize from the International Association of Pattern Recognition (IAPR). He is a recipient of the Society, Technical Achievement and Meritorious Service Awards from the IEEE Signal  Processing Society. He also received the Technical Achievement and Meritorious Service Awards from the IEEE  Computer Society. At UMD, he received college and university level recognitions for research, teaching innovation and  mentoring of undergraduate students. In 2010, he was recognized as an Outstanding ECE by Prude university. Prof.  Chellappa served at the Editor-in-Chief of PAMI. He is a Golden Core Member of the IEEE Computer Society, served as  a Distinguished Lecturer of the IEEE Signal Processing Society and as the President of IEEE Biometrics Council. He is a Fellow of IEEE, IAPR, OSA, AAAS, ACM and AAAI and holds four patents.

Jeffrey Cohn, University of Pittsburgh

Jeffrey Cohn is Professor of Psychology and Psychiatry at the University of Pittsburgh and Adjunct Professor of Computer Science at the Robotics Institute at Carnegie Mellon University. He leads interdisciplinary and inter-institutional efforts to develop advanced methods of automatic analysis and synthesis of facial expression and prosody; and applies those tools to research in human emotion, social development, non-verbal communication, psychopathology, and biomedicine. He has served as Co-Chair of the 2008 and 2015 IEEE International Conference on Automatic Face and Gesture Recognition (FG2008) (FG2015), the 2009 International Conference on Affective Computing and Intelligent Interaction (ACII2009), the Steering Committee for IEEE International Conference on Automatic Face and Gesture Recognition, and the 2014 International Conference on Multimodal Interaces (ACM 2014). He has co-edited special issues of the Journal of Image and Vision Computing and is a Co-Editor of IEEE Transactions in Affective Computing (TAC). His research has been supported by grants from the National Institutes of Health, National Science Foundation, Autism Foundation, Office of Naval Research, Defense Advanced Research Projects Agency, and other sponsors.
Florian Schroff
, Google

Florian Schroof got his PhD in Semantic Image Segmentation and Web-Supervised Visual Learning at the University of Oxford in the Visual Geometry Group in 2009. Dr Schroff was postdoc at the UCSD vision group during 2009-2011, where he conducted research in unconstrained face and object recognition. He started at Google as a Software Engineer in 2011. There he has done state-of-the-art computer vision research that is used in Personal Photo search and Goggles. 

Other relevant information:

You can use the following links to find more information on the workshop.