Jitendra Malik is the Arthur J. Chick Professor in the Department of Electrical Engineering and Computer Sciences at the University of California at Berkeley. He was awarded the Longuet-Higgins Prize for a contribution that has stood the test of time twice, in 2007 and in 2008. He received the PAMI-TC Distinguished Researcher in Computer Vision Award in 2013, and in 2014 the K.S. Fu Prize from the International Association of Pattern Recognition. He is a fellow of the IEEE and the ACM. His research interests include the classical computer vision problems of recognition, reconstruction, and reorganization as well as their interactions with each other (e.g., through deep learning).
Stefan Leutenegger joined Imperial College London as a Lecturer (US equivalent: Assistant Professor) in late 2014 coming from ETH Zurich, where he obtained his BSc, MSc and PhD degree. During his PhD studies, he was developing a range of real-time vision-based multi-sensor localisation and mapping algorithms/softwarefor small Unmanned Aerial Systems (UAS). At Imperial College, Stefan co-leads the Dyson Robotics Lab with Prof. Andrew Davison. He has been leading research on application of SLAM to domestic robots and UAS, at the intersection of geometric vision, Machine Learning, planning and control. He has furthermore co-founded the start-up company SLAMcore, which received funding in 2017.
Raquel Urtasun is an Associate Professor in the Department of Computer Science at the University of Toronto and a Canada Research Chair in Machine Learning and Computer Vision. Her research interests include machine learning, computer vision and robotics. Her recent work involves perception algorithms for self-driving cars and deep structured models. She is a recipient of an NVIDIA Pioneers of AI Award, a Ministry of Education and Innovation Early Researcher Award, two Google Faculty Research Awards, a Connaught New Researcher Award and a Best Paper Runner up Prize awarded at CVPR.