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.
My first name is pronounced as /tʃæn'æn/ with the g being silent.
CV | E-Mail | Google Scholar |
Github | Twitter
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Semantic Audio-Visual Navigation
Changan Chen, Ziad Al-Halah, Kristen Grauman
CVPR 2021
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project |
code (coming soon)
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Learning to Set Waypoints for Audio-Visual Navigation
Star
Changan Chen, Sagnik Majumder, Ziad Al-Halah, Ruohan Gao,
Santhosh K. Ramakrishnan, Kristen Grauman
ICLR 2021
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project |
code
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VisualEchoes: Spatial Image Representation Learning through Echolocation
Star
Ruohan Gao, Changan Chen, Carl Schissler,
Ziad Al-Halah, Kristen Grauman
ECCV 2020
paper |
project |
code
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SoundSpaces: Audio-Visual Navigation in 3D Environments
Star
Changan Chen*, Unnat Jain*, Carl Schissler, Sebastia Vicenc Amengual Gari,
Ziad Al-Halah, Vamsi Krishna Ithapu, Philip Robinson, Kristen Grauman
ECCV 2020 (spotlight)
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project |
code |
website
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Relational Graph Learning for Crowd Navigation
Star
Changan Chen*, Sha Hu*, Payam Nikdel, Greg Mori, Manolis Savva
IROS 2020
paper |
code
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Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep
Reinforcement Learning
Star
Changan Chen, Yuejinag Liu, Sven Kreiss, Alexandre Alahi
ICRA 2019
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code
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Constraint-Aware Deep Neural Network Compression
Star
Changan Chen, Frederick Tung, Naveen Vedula, and Greg Mori
ECCV 2018
paper |
code
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ZJU 2014-2016 |
SFU 2016-2019 |
EPFL 2018 |
UT AUSTIN 2019 - present |
FAIR 2020 - present |
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