Changan Chen 陈昌安

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 broad interests are computer vision, machine learning and robotics. Currently, I'm working on embodied learning and audio-visual learning.

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

News
July 2022 Joining Meta AI London for summer internship!
July 2022 Receiving Professional Development Awards from UT Austin!
March 2022 We are organizing the first AV4D: Visual Learning of Sounds in Spaces workshop at ECCV 2022!
March 2022 I am very honored to receive the 2022 Adobe Research Fellowship!
Feb 2022 Organizing the second SoundSpaces Challenge at the Embodied AI Workshop, CVPR 2022!
Feb 2021 Organizing the first SoundSpaces Challenge at the Embodied AI Workshop, CVPR 2021!
July 2020 Released a curated reading list for embodied vision: awesome-embodied-vision
May 2020 Joining Facebook AI Research as a visiting researcher
Publications
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[NEW] SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning Star
Changan Chen*, Carl Schissler*, Sanchit Garg*, Philip Kobernik, Alexander Clegg, Paul Calamia, Dhruv Batra, Philip W Robinson, Kristen Grauman
NeurIPS 2022 Datasets and Benchmarks Track
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[NEW] Few-Shot Audio-Visual Learning of Environment Acoustics
Sagnik Majumder, Changan Chen*, Ziad Al-Halah*, Kristen Grauman
NeurIPS 2022
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[NEW] Visual Acoustic Matching Star
Changan Chen, Ruohan Gao, Paul Calamia, Kristen Grauman
CVPR 2022 (ORAL)
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[NEW] Learning Audio-Visual Dereverberation Star
Changan Chen, Wei Sun, David Harwath, Kristen Grauman
arXiv 2022
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[NEW] Sound Adversarial Audio-Visual Navigation Star
Yinfeng Yu, Wenbing Huang, Fuchun Sun, Changan Chen, Yikai Wang, Xiaohong Liu
ICLR 2022
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Semantic Audio-Visual Navigation Star
Changan Chen, Ziad Al-Halah, Kristen Grauman
CVPR 2021
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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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VisualEchoes: Spatial Image Representation Learning through Echolocation Star
Ruohan Gao, Changan Chen, Carl Schissler, Ziad Al-Halah, Kristen Grauman
ECCV 2020
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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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Relational Graph Learning for Crowd Navigation Star
Changan Chen*, Sha Hu*, Payam Nikdel, Greg Mori, Manolis Savva
IROS 2020
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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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Constraint-Aware Deep Neural Network Compression Star
Changan Chen, Frederick Tung, Naveen Vedula, and Greg Mori
ECCV 2018
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Presentations & Talks
June 2022 Oral presentation at CVPR 2022, "Visual Acoustic Matching" (Slides)
June 2021 Invited talk at Facebook Reality Labs, "Learning Audio-Visual Dereverberation" (Slides)
June 2021 Invited talk at EPIC Workshop, CVPR 2021, "Semantic Audio-Visual Navigation" (Slides)
Sept. 2020 Invited talk at CS391R: Robot Learning at UT Austin, ""Audio-Visual Navigation" (Slides)
Dec. 2018 Invited talk at SwissAI Meetup, "Navigation in Crowds: From 2D Navigation to Visual Navigation"
Nov. 2018 Invited talk at Swiss Machine Learning Day, "Crowd-aware Robot Navigation with Attention-based DRL"
May 2018 Poster presentation at SFU-ZJU Joint Symposium, "Constraint-aware Deep Neural Network Compression"
Affiliations
                   
ZJU
2014-2016
SFU
2016-2019
EPFL
2018
UT AUSTIN
2019 - present
FAIR
2020 - present

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