Sanjoy Chowdhury

I am a third year CS PhD student at University of Maryland, College Park advised by Prof. Dinesh Manocha. I am broadly interested in multi-modal learning and its different applications. My research primarily involves studying the interplay between the vision and audio modalities and developing systems equipped with their comprehensive understanding.

I am currently working as an ML Research intern at Apple MLR hosted by Chun-Liang Li and Karren Yang . I spent the summer of '24 at Meta Reality Labs working as a research scientist intern hosted by Ruohan Gao . Before this, I was a student researcher at Google Research with Avisek Lahiri and Vivek Kwatra in the Talking heads team on speech driven facial synthesis. Previously, I spent a wonderful summer with Adobe Research working with Joseph K J in the Multi-modal AI team as a research PhD intern on multi-modal audio generation. I am also fortunate to have had the chance to work with Prof. Kristen Grauman , Prof. Salman Khan , Prof. Mohamed Elhoseiny among other wonderful mentors and collaborators.

Before joining for PhD, I was working as a Machine Learning Scientist with the Camera and Video AI team at ShareChat, India. I was also a visiting researcher at the Computer Vision and Pattern Recognition Unit at Indian Statistical Institute Kolkata under Prof. Ujjwal Bhattacharya. Even before, I was a Senior Research Engineer with the Vision Intelligence Group at Samsung R&D Institute Bangalore. I primarily worked on developing novel AI-powered solutions for different smart devices of Samsung.

I received my MTech in Computer Science & Engineering from IIIT Hyderabad where I was fortunate to be advised by Prof. C V Jawahar. During my undergrad, I worked as a research intern under Prof. Pabitra Mitra at IIT Kharagpur and the CVPR Unit at ISI Kolkata.

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Updates

Blog(s)

Have tried my hand at writing technical blogs.

The devil is in the details: Video Quality Enhancement Approaches

The blog contextualizes the problem of video enhancement in present-day scenarios and talks about a couple of interesting approaches to handle this challenging task.

Academic services

I have served as a reviewer for the following venues:

CVPR, ICCV, ECCV, NeurIPS, AAAI, ICLR, WACV, ACL, ACMMM

Template credits: Jon Barron, Philippe Laban and thanks to Richa for making this.