Rohan Choudhury

I’m a PhD student in the Robotics Institute at Carnegie Mellon University, advised by Kris Kitani and László Jeni. I’m broadly interested in helping models to understand and generate visual content more efficiently. In particular, I work on enabling vision algorithms to continuously perceive the world in high resolution and at 30+ FPS. My research is graciously supported by the NSF GRFP Fellowship, and I’m also currently a Student Researcher at ByteDance, working with Peter Lin and Lu Jiang on accelerating video generation.

Before starting my PhD, I was a software engineer at Nuro, where I worked on trajectory forecasting models for self-driving vehicles. I graduated from Caltech where I worked on multi-agent reinforcement learning with Yisong Yue.

Outside of research, I enjoy running, lifting weights, watching sports and listening to electronic music.

news

Oct 18, 2024	Our work RLT was accepted to NeurIPS 2024 as a spotlight paper!
Jul 14, 2024	Our paper Video Question Answering with Procedural Programs was accepted to ECCV 2024!

selected papers (full list)

Don’t Look Twice: Faster Video Transformers with Run-Length Tokenization

Rohan Choudhury, Guanglei Zhu, Sihan Liu, and 3 more authors

NeurIPS, 2024

arXiv Bib Project Page Code

@article{choudhury2024rlt,
  title = {Don't Look Twice: Faster Video Transformers with Run-Length Tokenization},
  author = {Choudhury, Rohan and Zhu, Guanglei and Liu, Sihan and Niinuma, Koichiro and Kitani, Kris M. and Jeni, László A.},
  journal = {NeurIPS},
  year = {2024},
  site = {/rlt/}
}

ECCV

Video Question Answering with Procedural Programs

Rohan Choudhury, Koichiro Niinuma, Kris M. Kitani, and 1 more author

ECCV, 2024

arXiv Bib HTML

@article{choudhury2024proviq,
  title = {Video Question Answering with Procedural Programs},
  author = {Choudhury, Rohan and Niinuma, Koichiro and Kitani, Kris M. and Jeni, László A.},
  journal = {ECCV},
  year = {2024},
}

ICCV

TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting

Rohan Choudhury, Kris M. Kitani, and László A. Jeni

ICCV, 2023

arXiv Bib HTML Code

@article{choudhury2023tempo,
  title = {TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting},
  author = {Choudhury, Rohan and Kitani, Kris M. and Jeni, László A.},
  journal = {ICCV},
  year = {2023},
}