I am a Ph.D. student in Computer Science at UT Austin advised by Prof. Kristen Grauman. I am also a visiting researcher at Facebook AI Research. My long-term goal is to bring autonomous agents into the real world, where the agent can perceive the world and act accordingly with respect to its goal.

Previously, I spent a wonderful year working with Prof. Greg Mori on sports video analysis and efficient deep learning, eight months working with Prof. Alexandre Alahi on social navigation in crowds, and eight months working with Prof. Manolis Savva on relational graph reasoning for navigation.

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Semantic Audio-Visual Navigation
Changan Chen, Ziad Al-Halah, Kristen Grauman
arXiv 2020
paper | project

Learning to Set Waypoints for Audio-Visual Navigation
Changan Chen, Sagnik Majumder, Ziad Al-Halah, Ruohan Gao, Santhosh K. Ramakrishnan, Kristen Grauman
ICLR 2021
paper | project

VisualEchoes: Spatial Image Representation Learning through Echolocation
Ruohan Gao, Changan Chen, Carl Schissler, Ziad Al-Halah, Kristen Grauman
ECCV 2020
paper | project

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 & data

Relational Graph Learning for Crowd Navigation
Changan Chen*, Sha Hu*, Payam Nikdel, Greg Mori, Manolis Savva
IROS 2020
paper | code

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

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

Template credits: Unnat