Hugo Jair Escalante
Hugo Jair Escalante is researcher scientist at Instituto Nacional de Astrofisica, Optica y Electronica, INAOE, Mexico. He holds a PhD in Computer Science, for which he received the best PhD thesis on Artificial Intelligence 2010 award (Mexican Society in Artificial Intelligence). He was granted the best paper award of the International Joint Conference on Neural Networks 2010 (IJCNN2010). He is a director of ChaLearn, a nonprofit dedicated to organizing challenges, since 2011. He has been involved in the organization of several challenges in computer vision and automatic machine learning. He is reviewer at JMLR, PAMI, and has served as coeditor of special issues in IJCV, PAMI, and IEEE Transactions on Affective Computing. He is serving as area chair for NIPS 2016, and has been member of the program committee of venues like CVPR, ICCV, ECCV, ICML, NIPS, IJCNN.
Universitat Oberta de Catalunya & Computer Vision Center, Barcelona, Spain
Xavier Baró received his B.S. degree in Computer Science at the Universitat Autònoma de Barcelona (UAB) in 2003. In 2005 he obtained his M.S. degree in Computer Science at UAB, and in 2009 the Ph.D degree in Computer Engineering. At the present he is a lecturer and researcher at the IT, Multimedia and Telecommunications department at Universitat Oberta de Catalunya (UOC). He is involved on the teaching activities of the Computer Science, Telecommunication and Multimedia degrees of the UOC, and collaborates as assistant professor on the teaching activities of the Computer Science degree at the Applied Mathematics and Analysis of the Universitat de Barcelona (UB). In addition, he is involved on the Interuniversity master on Artificial Intelligence (UPCUBURV). He is cofounder of the Scene Understanding and Artificial Intelligence (SUNAI) group of the UOC, and collaborates with the Computer Vision Center of the UAB, as member of the Human Pose Recovery and Behavior Analysis (HUPBA) group. His research interests are related to machine learning, evolutionary computation, and statistical pattern recognition, specially their applications to generic object recognition over huge cardinality image databases.
Michael Alexander Riegler
Simula Research Laboratory, Oslo, Norway
Institute of Automation, Chinese Academy of Sciences (CASIA)
I have graduated from Beijing Jiaotong University, Beijing, China. Since Jaunary 2015, I have joined in Center for Biometrics and Security Research (CBSR) & National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA). I am interested in machine learning, computer vision, image processing, especially for gesture/action recognition, hand tracking and segmentation. You can find the published papers and the current and finished projects in MY RESEARCH.