Demo2 first
Talk at ECCV 2012 (Watch the talk online)

Mission:                                     Sponsor Our Research

We study computer vision ‒ the computational principles underlying machine perception, robot vision, and human vision. We are interested in building computer systems that automatically understand visual scenes, both inferring the semantics and extracting 3D structure.

At the moment, we focus on leveraging Big 3D Data for Visual Scene Understanding (e.g. RGB-D, CG models, multiple viewpoints, panoramic fields of view). We believe that it is critical to consider the role of a computer as an active explorer in a 3D world, and learn from rich 3D data close to the natural input to humans visual system.

Specifically, our group is at the frontier of 3D Deep Learning, RGB-D Recognition and Reconstruction, Place-centric 3D Context Modeling, Graphics for Vision (Synthesis for Analysis), Deep Learning for Autonomous Driving, Large-scale Crowd-sourcing, and Petascale Big Data.


We gratefully acknolwedge the generous support of Intel, National Science Foundation, Google, MERL, Facebook, and NVIDIA for our research.