About me

Since September 2014, I am an Assistant Professor in the College of Information and Computer Sciences at the University of Massachusetts, Amherst and the co-director of the Computer Vision Lab. I am also affilated with the Center of Data Science. Prior to this I spent three years as a Research Assistant Professor at TTI Chicago, a philanthropically endowed academic computer science institute in the University of Chicago campus. I obtained my Ph.D. under the supervision of Jitendra Malik from the University of California at Berkeley in 2011, and a B.Tech. in Computer Science and Engineering from IIT Kanpur in 2006. In the past I have enjoyed working at Google, INRIA LEAR group, Microsoft Research India, the CLSP center at Johns Hopkins University, and Oxford University. My research is funded by the National Science Foundation, as well as faculty grants from Facebook, NVIDIA, and Adobe. Here is a detailed CV.

My research focusses on computer vision with a particular emphasis on algorithms for high-level recognition. My goal is enable cheap and robust sensing of the visual world using cameras powered by computer vision. For an overview of my research take a look at my recent publications and projects. I am also on Google scholar.

A better computer science department rankings: http://csrankings.org.

Recent news

7/18 Two papers accepted to ECCV 18
6/18 SPLATNet won the best paper honorable mention at CVPR 18. Popular press: NVIDIA, Medium
6/18 NSF CAREER grant awarded.
5/18 Upcoming papers and workshops:
+ VisemeNet to appear @ SIGGRAPH 18
+ Two papers: SPLATNet, CSGNet to appear @ CVPR 18
+ Fine-Grained Visual Categorization (FGVC5) workshop @ CVPR 18
4/18 Invited talk at the annual data science resesarch symposium.
1/18 Teaching Intro to Computer Vision (370) @ UMass
12/17 I will serve as an area chair for CVPR 2018.
10/17 Invited talk at the Manifold Learning Workshop @ ICCV 17.
7/17 Dark ecology project funded by NSF. Link to the press release.
7/17 Upcoming papers and recent preprints:
+ 2 papers at 3DV, 3 papers at BMVC 17, 1 at ICCV 17 (see publications)
+ Bilinear CNNs PAMI preprint, arXiv v6, Jun 2017
+ 3D Shape Segmentation with Projective Convolutional Networks, CVPR 17 (oral presentation)
+ 3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks, arXiv, July 17
4/17 Department colloquium speaker at RIT and UoR.
9/16 Teaching Computer Vision @ UMass
6/16 Received NSF grant for language-based understanding of textures, and a gift from Facebook.


Coursework: Tutorials: Workshops:


Current advisees: Past student advisees and collaborators:


Here is a wordle of my research statement.

I occasionally draw and paint.