3D Reconstruction meets Semantics – Invited speakers

  • 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).
  • 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.
  • Andrew Davison is a Professor at Imperial College London and the founding Director of the Dyson Robotics Laboratory at Imperial College. He held an ERC Starting Grant from 2008 to 2013. His research interest include advancing the basic technology of real-time localisation and mapping using vision with a particular focus on real-time dense reconstruction and tracking, large scale map optimisation, high speed vision and tracking, semantic and object-level mapping and the use of parallel processing in vision. At the Dyson Robotics Laboratory, he is working on applications of computer vision to real-world domestic robots.
  • Christian Häne is currently a postdoctoral fellow at the University of California at Berkeley. As a PhD student at ETH Zurich, he made fundamental contributions in the area of semantic 3D reconstruction. His research interests include dense 3D reconstruction and the application of these methods to challenging scenarios, and real-time applications such as self-driving cars.
#TrimBot goes #offroad in the #garden @WUR #robotics #trimming https://t.co/U3TRyLt0kG5 days
The dataset for the #3drms challenge @ICCV2017 is available https://t.co/9vN2s5EZdA7 days
#DeMoN is the very first work that formulates joint egomotion and #depth #estimation as a pure #learning problem https://t.co/nDyV7cmuvA1 week
Download the dataset for the #3drms challenge #3dreconstruction https://t.co/6w9Fm9PTmX1 week
RT @PALRobotics: TIAGo knows how to work a crowd... https://t.co/vjOuJuVxJH #robots #robotics #robocup20171 week