5th International Workshop on

Observing and Understanding Hands in Action

INVITED SPEAKERS


MICHAEL BLACK

Prof. Michael Black received his B.Sc. from the University of British Columbia (1985), his M.S. from Stanford (1989), and his Ph.D. from Yale University (1992). After post-doctoral research at the University of Toronto, he worked at Xerox PARC as a member of research staff and area manager. From 2000 to 2010 he was on the faculty of Brown University in the Department of Computer Science (Assoc. Prof. 2000-2004, Prof. 2004-2010). He is one of the founding directors at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, where he leads the Perceiving Systems department. He is also a Distinguished Amazon Scholar, an Honorarprofessor at the University of Tuebingen, and Adjunct Professor at Brown University. His work has won several awards including the IEEE Computer Society Outstanding Paper Award (1991), Honorable Mention for the Marr Prize (1999 and 2005), the 2010 Koenderink Prize for Fundamental Contributions in Computer Vision, and the 2013 Helmholtz Prize for work that has stood the test of time. He is a foreign member of the Royal Swedish Academy of Sciences. In 2013 he co-founded Body Labs Inc., which was acquired by Amazon in 2017.

Michael Black's website

IVAN LAPTEV

Dr. Ivan Laptev is a Research Director at INRIA/ENS Willow team (Paris, France). He received the PhD degree in Computer Science in 2004 from the Royal Institute of Technology (Sweden). His main research interests include visual recognition of human actions, objects and interactions. He has published over 60 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 IEEE Transactions on Pattern Analysis and Machine Intelligence, he was a program chair of CVPR 2018, he served as an area chair for major vision conferences, he has co-organized several workshops and tutorials on human action recognition and a series of ENS/INRIA summer schools on computer vision and machine learning (2010-2013). He was awarded ERC Starting Grant in 2012.

Ivan Laptev's website

VINCENT LEPETIT

Prof. Vincent Lepetit is a Full Professor at the LaBRI, University of Bordeaux. He also supervizes a research group in Computer Vision for Augmented Reality at the Institute for Computer Graphics and Vision, TU Graz. He received the PhD degree in Computer Vision in 2001 from the University of Nancy, France, after working in the ISA INRIA team. He then joined EPFL where he became a founding member of the Computer Vision Laboratory. He became a Professor at TU Graz in February 2014, and at University of Bordeaux in January 2017. His research is at the interface between Machine Learning and 3D Computer Vision, with application to 3D hand pose estimation, feature point detection and description, and 3D object or camera registration from images. In particular, he introduced with his colleagues methods such as Ferns, BRIEF, LINE-MOD, and DeepPrior for feature point matching and 3D object recognition. He often serves as area chair and program committee member of major vision conferences (CVPR, ICCV, ECCV, ACCV, BMVC). He is an editor for the International Journal of Computer Vision (IJCV), the IEEE Transactions on Pattern Analysis and Machine Intelligence, and the Computer Vision and Image Understanding (CVIU) journal. He is a senior member of the Institut Universitaire de France.

Vincent Lepetit's website

ANGELA YAO

Dr Angela Yao has joined the Department of Computer Science at National University of Singapore on 1 October 2018 as an Assistant Professor. She has obtained her PhD and Master of Science degree in Biomedical Engineering from Swiss Federal Institute of Technology (ETH), Zurich in 2012 and 2008, respectively. She obtained her Bachelor’s degree in Engineering Science from the University of Toronto, Canada in 2006. Prior to joining the Dept, Dr Yao was an Assistant Professor at the University of Bonn, Germany. Her research interests include human and hand pose estimation, action recognition, random forests, semi-supervised and unsupervised learning algorithms.

Angela Yao's website