Home/Deva Kannan Ramanan

Deva Kannan Ramanan

Associate Professor
Email: deva@andrew.cmu.edu
Office: EDSH 221
Phone: (412) 268-6966
Personal Homepage: http://www.cs.cmu.edu/~deva/
Administrative Assistant: Jessica Butterbaugh

My research focuses on computer vision, often motivated by the task of understanding people from visual data. My work tends to make heavy use of machine learning techniques, often using the human visual system as inspiration. For example, temporal processing is a key component of human perception, but is still relatively unexploited in current visual recognition systems. Machine learning from big (visual) data allows systems to learn subtle statistical regularities of the visual world. But humans have the ability to learn from very few examples. Here’s a recent talk (from 2015) that discusses some thoughts on these issues.

Displaying 1 Publications
Learning to Model the Tail
Yuxiong Wang, Deva Ramanan and Martial Hebert

Conference Paper, Carnegie Mellon University, 31st Conference on Neural Information Processing Systems (NIPS), December, 2017
Mailing Address
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213