is INRIA research director affiliated with INRIA Paris - Rocquencourt, a unit of the French National Institute for Research in Computer Science and Control. Ivan works in the WILLOW research group associated with école Normale Supérieure and led by Jean Ponce. He has obtained PhD degree from the Royal Institute of Technology (KTH) in 2004 where he was at the Computer Vision and Active Perception laboratory (CVAP). His main research interests include visual recognition of human actions, objects and interactions. He has published over 50 papers at international conferences and journals of computer vision and machine learning. He serves as an associate editor of International Journal of Computer Vision and Image and Vision Computing Journal, he was/is an area chair for CVPR 2010, ICCV 2011, ECCV 2012, CVPR 2013 and ECCV 2014, he has co-organized several workshops and tutorials on human action recognition at major computer vision conferences. He has also co-organized a series of INRIA summer schools on computer vision and machine learning (2010-2013). Ivan was awarded ERC Starting Grant in 2012.
is Professor of Computing Sciences with the University of East Anglia, Norwich, UK. He received the B.Eng. degree in Electronic and Information Engineering from the University of Science and Technology of China (USTC), the M.Sc. degree in Medical Image Analysis and the Ph.D. (D.Phil.) degree in Computer Vision at the Robotics Research Group from the University of Oxford. Previously, he was a Professor (2014-2016) with Northumbria University, a Senior Lecturer (2009-2014) with the Department of Electronic and Electrical Engineering at the University of Sheffield and a Senior Scientist (2005-2009) with Philips Research, The Netherlands. His research interests include Computer Vision, Image/Video Processing, Pattern Recognition and Machine Learning. He has authored/co-authored over 200 papers in refereed journals/conferences such as IEEE TPAMI, TIP, TNNLS, IJCV, ICCV, CVPR, ECCV, IJCAI and ACM MM, and holds over 10 EU/US patents. Ling Shao is an Associate Editor of IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Circuits and Systems for Video Technology, and several other journals. He has edited three books and several special issues for journals such as TNNLS and PR. He has organized a number of international workshops with top conferences including ICCV, ECCV and ACM Multimedia. He is/was an Area Chair for ICPR'16, BMVC'14/15/16, WACV'14 and ICME'15 and has been serving as a Program Committee member for many international conferences, including ICCV, CVPR, ECCV, BMVC, and ACM MM, and as a reviewer for many leading journals. He is a Fellow of the British Computer Society, a Fellow of the IET, a Senior Member of the IEEE, and a Life Member of the ACM.
is an Associate Professor with the School of Electrical and Electronic Engineering at Nanyang Technological University (NTU), Singapore. He is an associate director of the ROSE lab, which is jointly established by Nanyang Technological University and Peking University, China. He had a joint appointment at the Advanced Digital Science Center (operated by UIUC) as a research scientist from 2010 to 2014. He received his B.Eng. degree from Harbin Institute of Technology in Electrical Engineering and the PhD degree in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign. His research interests include deep learning, scene parsing, object recognition, and action analysis. He is selected as a MIT Technology Review innovator under 35 for Southeast Asia, Australia, New Zealand, and Taiwan. He is also a recipient of Harriett & Robert Perry Fellowship, CS/AI award, best paper awards from PREMIA (Pattern Recognition and Machine Intelligence Association) and top 10 percent paper awards from MMSP. He led a team to achieve top 5 in the ImageNet challenge on scene classification in 2015 and 2016 respectively. He is an associate editor of Neurocomputing and has been invited to serve as an associate editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). He is an area chair for ICCV 2017.