Speaker : Shubham Tulsiani
Venue :    KD 101
Time :      6:50 PM - 8:00 PM​
Date :      8 Feb 2016 (Monday)

*Title*: 3D Visual Understanding

*Abstract* : This talk will serve as an introduction and survey for 3D
vision - the task of developing a 3D visual understanding from 2D images.
We will look at various aspects of this problem and review recent
approaches. The talk will focus on explaining the core ideas, outlining the
learning formulations and highlighting the common elements of the
approaches involved .

*Bio* : Shubham Tulsiani received the B.Tech degree in Computer Science and
Engineering from Indian Institute of Technology, Kanpur in 2013. He is
currently a graduate student with the EECS Department, University of
California, Berkeley. His research interests lie at the intersection of
recognition, pose estimation and reconstruction from a single image. He is
a recipient of the Berkeley Graduate Fellowship and the CVPR best student
paper award.