Chinmay Talegaonkar 🔊 Pronounce

I am currently a 3^rd year Ph.D. student at UCSD. I am advised by Prof. Nicholas Antipa, and also collaborate with Yash Belhe and Prof. Ravi Ramamoorthi. I completed my MS in ECE from UCLA, advised by Prof. Achuta Kadambi and B.Tech in EE with a minor in CS from IIT Bombay.

Prior to joining UCSD, I was senior deep learning engineer at Akasha Imaging (acquired by Intrinsic.ai, an Alphabet company). At Akasha, I worked on developing a Multiview 6DOF Pose estimation system for industrial automation. I also played a lot of Ping Pong with Agastya Kalra.

In the past, I had the opportunity to spend two summers, in 2018 and 2020, at NVIDIA, developing and optimizing CUDA kernels. Some of this work is now a part of CUTLASS and NVIDIA RAPIDS. I also spent a summer at Qualcomm AI in 2023, working on memory efficient dynamic human reconstruction. Please have a look at my CV for more details on these projects.

Email  /  CV  /  Short CV  /  Scholar  /  Twitter  /  LinkedIn  /  Github

Research

I am broadly interested in 3D Vision, Graphics, and Imaging. My current research focuses on 3D scene representations (NeRFs, 3D Gaussian Splatting, etc.), Diffusion Models and their applications in Computational Imaging inverse problems. I also work on 3D Vision/Perception and 6-DoF Pose Estimation for ocean floor inspection.

A revised version of this paper was published in IEEE Access .

Miscellanea

Awards & Fellowships

Thanks Jon Barron for the website source code.