Changan Chen 陈昌安

I am a co-founder and AI researcher at a stealth startup.

Previously, I was a postdoctoral researcher at Stanford University hosted by Prof. Fei-Fei Li and Prof. Ehsan Adeli. I received my PhD from UT Austin advised by Prof. Kristen Grauman. During my PhD, I was fortunate to spend a few years working as a visiting researcher at Facebook AI Research (FAIR).

I am interested in building intelligent and generalizable machine learning systems that perceive and interact with the world.

E-Mail | Google Scholar | Twitter

Photo credit: Jasmin Zhang

Selected Publications | All Publications
bagger

Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation
Alan Baade, Eric Ryan Chan, Kyle Sargent, Changan Chen, Justin Johnson, Ehsan Adeli, Li Fei-Fei
arXiv 2026
paper

bagger

BAgger: Backwards Aggregation for Mitigating Drift in Autoregressive Video Diffusion Models
Ryan Po, Eric Ryan Chan, Changan Chen, Gordon Wetzstein
CVPR 2026
paper | project

lom

The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion
Changan Chen*, Juze Zhang*, Shrinidhi Kowshika Lakshmikanth*, Yusu Fang, Ruizhi Shao, Gordon Wetzstein, Li Fei-Fei, Ehsan Adeli
CVPR 2025
paper | project
Media coverage: media logo media logo

pcc

Self-Supervised Cross-View Correspondence with Predictive Cycle Consistency
Alan Baade and Changan Chen
CVPR 2025
(Highlight)
paper

action2sound

Action2Sound: Ambient-Aware Generation of Action Sounds from Egocentric Videos
Changan Chen*, Puyuan Peng*, Ami Baid, Sherry Xue, Wei-Ning Hsu, David Harwath, Kristen Grauman
ECCV 2024
(Oral)
paper | project | data | code

egoexo

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, ..., Changan Chen, ..., Bernard Ghanem, Judy Hoffman, Richard Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shou, Michael Wray
CVPR 2024
(Oral)
website | paper | video

nvas

Novel-View Acoustic Synthesis
Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi
CVPR 2023
paper | project | code | data

ss2

SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning
Changan Chen*, Carl Schissler*, Sanchit Garg*, Philip Kobernik, Alexander Clegg, Paul Calamia, Dhruv Batra, Philip W Robinson, Kristen Grauman
NeurIPS 2022
Distinguished Paper Award at EgoVis Workshop, CVPR 2024
paper | project | website | code

vam

Visual Acoustic Matching
Changan Chen, Ruohan Gao, Paul Calamia, Kristen Grauman
CVPR 2022
(Oral)
paper | video | project | code
Media coverage: media logo media logo media logo media logo media logo media logo media logo media logo media logo media logo media logo media logo

avnav

SoundSpaces: Audio-Visual Navigation in 3D Environments
Changan Chen*, Unnat Jain*, Carl Schissler, Sebastia Vicenc Amengual Gari, Ziad Al-Halah, Vamsi Krishna Ithapu, Philip Robinson, Kristen Grauman
ECCV 2020
(Spotlight)
paper | project | code | website
Media coverage: media logo media logo media logo media logo media logo

crowdnav

Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
Changan Chen, Yuejiang Liu, Sven Kreiss, Alexandre Alahi
ICRA 2019
paper | code

compression

Constraint-Aware Deep Neural Network Compression
Changan Chen, Frederick Tung, Naveen Vedula, and Greg Mori
ECCV 2018
paper | code

Last updated: February 2026