I am a Ph.D. candidate at the Manning College of Information & Computer Sciences at UMass Amherst where I investigate fundamental problems in computer vision through the lens of self-supervised deep learning, under the supervision of Erik Learned-Miller at the Vision lab. I have also collaborated with Mario Parente from RHOgroup, and Ina Fiterau from InfoFusion lab in the past on problems in applied computer vision and deep learning. And I have been a research intern twice at Apple and once at Signify Research, where I worked on a variety of topics from scene understanding to audio processing. In my free time, I love to cook gourmet dishes (especially those by Gordon Ramsay), and listen to classic rock music (I’m a big fan of Queen).
[Apr. 2022] Our paper on Mars Terrain Classification got accepted to Earthvision workshop at CVPR 2022. I will be attending in-person!
[Jan. 2022] Started working at the RHOgroup on computer vision for Mars rover images.
[Jun. 2021] Started 2nd summer internship at Apple working on neural architecture search.
[Jul. 2020] Attending CIFAR Deep Learning & Reinforcement Learning summer school.
[Jun. 2020] Started summer internship at Apple working on object detection and scene graph generation.
[* = Authors Contributed Equally]
Nonparallel emotional speech conversion
Jian Gao, Deep Chakraborty, Hamidou Tembine, Olaitan Olaleye
Annual Conference of the International Speech Communication Association (INTERSPEECH)
[PDF] [arXiv] [Project Page]
Pedestrian Detection in Thermal Images using Saliency Maps
Debasmita Ghose*, Shasvat Desai*, Sneha Bhattacharya*, Deep Chakraborty*, Madalina Fiterau, Tauhidur Rahman
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
[PDF] [arXiv] [Project Page] [Spotlight Video]
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