TU Delft, Netherlands
Topic: TBA
Autonomous vehicles (AVs) have come a long way in the past two decades. Yet they are nowhere close to safely carrying our children to an arbitrary location. Until AVs become a net provider of safety, comfort, and reduced carbon emissions, a lot of work remains to be done. The real world is full of challenging corner cases and unexpected behavior. My research focuses on finding more scalable approaches to address these corner cases by collecting, mining, labeling, training from, and evaluating sensor data more cleverly.
University of California, USA
Topic: TBA
Manmohan Chandraker is a full professor at the CSE department of the University of California, San Diego. He received a PhD from UCSD and was a postdoctoral scholar at UC Berkeley. His research interests are in computer vision, machine learning, and graphics-based vision, with applications to autonomous driving, robotics, and augmented reality. His works have been recognized with the Best Paper honorable mention at ECCV 2022, Google Research Awards in 2021, 2019, and 2018, the NSF CAREER Award in 2018, the Best Paper Award at CVPR 2014, an IEEE PAMI special issue on Best Papers from CVPR 2011, the 2009 CSE Dissertation Award for Best Thesis from UCSD and the Marr Prize honorable mention at ICCV 2007. He serves on senior program committees at CVPR, ICCV, ECCV, NeurIPS, and AAAI.