About Me

I am a PhD student (2016-) at Carnegie Mellon, working in computer vision with Deva Ramanan. Earlier I graduated with a masters from CMU itself, working with Martial Hebert, Abhinav Gupta, Kris Kitani and David Fouhey, and was named a Siebel Scholar. I was a CS undergrad at IIIT, Hyderabad, working with C. V. Jawahar.

In 2016, I spent an awesome summer at CTL, Adobe Research (SF) with Josef Sivic and Bryan Russell. Earlier in 2013, I was one of fourteen students from India to intern at the Facebook HQ (Menlo Park, CA). I worked on graph search with Yuval Kesten and also collaborated with Craig Campbell.

Major Publications

Attentional Pooling for Action Recognition

Rohit Girdhar and Deva Ramanan
NIPS 2017 · Long Beach, CA · webpage

ActionVLAD: Learning spatio-temporal aggregation for action classification

Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic and Bryan Russell
CVPR 2017 · Honolulu, HI · webpage

Binge Watching: Scaling Affordance Learning from Sitcoms

Xiaolong Wang*, Rohit Girdhar* and Abhinav Gupta (* equal contribution)
CVPR 2017 (spotlight) · Honolulu, HI · pdf

Learning a Predictable and Generative Representation for Objects

Rohit Girdhar, David Fouhey, Mikel Rodriguez and Abhinav Gupta
ECCV 2016 (spotlight) · Amsterdam, Netherlands · webpage

Cutting through the clutter: Task-relevant features for image matching

Rohit Girdhar, David Fouhey, Kris Kitani, Abhinav Gupta and Martial Hebert
WACV 2016 · Lake Placid, NY · pdf

Optimizing Storage Intensive Vision Applications to Device Capacity

Rohit Girdhar, Jayaguru Panda and C. V. Jawahar
ACCV 2014 · Singapore · pdf


Dec 23, 2016 · Compile TensorFlow on CentOS 6