Kunal Gupta

I am a second year PhD student in the CSE department at UC San Diego advised by Manmohan Chandraker. I work primarily in 3D computer vision.

I am currently interning at Adobe Research hosted by Kalyan Sunkavalli. Previously, I interned at Adobe w/ Vladimir Kim and at NVIDIA Research w/ Stan Birchfield . I have also worked as a staff researcher at UC San Diego School of Medicine with Fransisco Contijoch and was a visiting researcher in the Bio Robotics Lab with YU Haoyong at National University of Singapore.

I received my M.S. degree in Computer Science from UC San Diego and B.Eng. degree in Electrical and Electronics Engineering from BITS Pilani, where I was advised by Surekha Bhanot.

Email  /  CV  /  Google Scholar  /  GitHub  /  LinkedIn

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Note: If you wish to ask me questions concerning master's in CSE at UCSD, please see the FAQs before contacting me.
Research

I'm interested in 3D Computer Vision, particularly in inverse rendering, shape deformation and representation learning with applications to autonomous driving, robotics, augmented reality and medical imaging. Read an overview of my research here.

Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes
Noam Aigerman, Kunal Gupta, Vladimir Kim, Siddhartha Chaudhuri, Jun Saito, Thibault Groueix
ACM SIGGRAPH 2022   (journal track)

Paper / code (coming soon)

A framework for learning to deform meshes in a highly detail-preserving manner, without being tied to a specific mesh

Neural Computed Tomography
Kunal Gupta, Brendan Colvert and Francisco Contijoch
Under Review

project page / arXiv / code

Motion resolved computed tomography by combining neural implicit representations and differentiable rendering

Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows
Kunal Gupta, Manmohan Chandraker
NeurIPS 2020   (Spotlight)

project page / arXiv / code / Master's Thesis

A network that generates manifold meshes enabling photo-realistic physically based renderings and physics simulation

Force Control of Robotic Walker
Bachelor's Thesis

Novel Stable Gait Criteria (SGC) is proposed for safe and intuitive human-robot interaction and rehabilitation.

Talks
Random Walks and Sampling at MC Lab Discussions, September 2020
ELBO and KL-Divergence Tutorial at ERL Discussions, December 2018

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