I am a Research Scientist at Google research in New York. I am also an Assistant Professor (on leave since January 2021) in the CSE department at WashU [group page]. I work on problems in computer vision, machine learning, and computational photography.
I received my PhD in 2011 advised by Todd Zickler at Harvard University. I was a post-doctoral fellow at Harvard from 2011-2014, and a research assistant professor at the Toyota Technological institute at Chicago from 2014-2017. I did my undergraduate studies at IIT Madras, receiving BTech and MTech degrees in Electrical Engineering in 2006.
Google Scholar | GitHub | CV | E-mail
Learning Privacy Preserving Encodings through Adversarial Training
WACV 2019
Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti
Examining the Impact of Blur on Recognition by Convolutional Networks
arXiv 2017
Igor Vasiljevic, Ayan Chakrabarti, Gregory Shakhnarovich
Learning Object Color Models from Multi-view Constraints
CVPR 2011
Trevor Owens, Kate Saenko, Ayan Chakrabarti, Ying Xiong, Todd Zickler, Trevor Darrell
Color Constancy Beyond Bags of Pixels
CVPR 2008
Ayan Chakrabarti, Keigo Hirakawa, Todd Zickler
Effective Separation of Sparse and Non-sparse Image Features for Denoising
ICASSP 2008
Ayan Chakrabarti, Keigo Hirakawa
Super-Resolution of Face Images Using Kernel PCA-Based Prior
IEEE Transactions on Multimedia 2007
Ayan Chakrabarti, A.N. Rajagopalan, Rama Chellappa
Visual Inference with Statistical Models for Color and Texture
Ph.D. Dissertation, Harvard University, 2011
Ayan Chakrabarti
WUSTL CSE 559A | Computer Vision (Fall 17, 18, 19, 20) |
WUSTL CSE 659A | Advances in Computer Vision (Spring 19, 20) |