About Me

I'm a PhD student advised by Prof. Song-Chun Zhu in Center for Vision, Cognition, Learning, and Autonomy (VCLA) in the Department of Statistics at University of California, Los Angeles (UCLA). Currently I'm visiting Perceiving Systems, Max Planck Institute for Intelligent Systems, supervised by Prof. Michael Black and Prof. Dimitrios Tzionas. My research interests focus on computer vision and cognition, particularly in the areas of scene understanding, human-object interaction and social cue understanding. My goal is to help machines reach human-like understanding from visual input.

Previously, I received a M.S. in Electrical and Computer Engineering at UCLA.

News

New! One paper accepted in CVPR 2023.

One paper accepted in NeurIPS 2022.

One paper accepted in ICCV 2021.

One paper accepted in ECCV 2020.

One paper accepted in ICML 2020.

One paper accepted in NeurIPS 2019.

One paper accepted in ICCV 2019.

Publication

Detecting Human-Object Contact in Images
Yixin Chen, Sai Kumar Dwivedi, Michael J. Black, Dimitrios Tzionas,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023.
Paper / Project / Code

HUMANISE: Language-conditioned Human Motion Generation in 3D Scenes
Zan Wang, Yixin Chen, Tengyu Liu, Yixin Zhu, Wei Liang, Siyuan Huang
Neural Information Processing Systems (NeurIPS) 2022.
Paper / Project / Code

YouRefIt: Embodied Reference Understanding with Language and Gesture
Yixin Chen, Qing Li, Deqian Kong, Yik Lun Kei, Tao Gao, Yixin Zhu, Song-Chun Zhu, Siyuan Huang
The IEEE International Conference on Computer Vision (ICCV) 2021 (Oral).
Paper / Project / Code

Top-down Attention in End-to-end Spoken Language Understanding
Yixin Chen^*, Weiyi Lu, Alejandro Mottini, Li Erran Li, Jasha Droppo, Zheng Du, Belinda Zeng
* Work performed while interning at Amazon, supervised by Li Erran Li
The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2021.
Paper

LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities
Baoxiong Jia, Yixin Chen, Siyuan Huang, Yixin Zhu, Song-Chun Zhu
European Conference on Computer Vision (ECCV) 2020.
Paper / Project / Code

Closed Loop Neural-Symbolic Learning viaIntegrating Neural Perception, Grammar Parsing, and Symbolic Reasoning
Qing Li, Siyuan Huang, Yining Hong, Yixin Chen, Yingnian Wu, Song-Chun Zhu
International Conference on Machine Learning (ICML) 2020.
Best Paper Award in Workshop on Bridge Between Perception and Reasoning: Graph Neural Networks & Beyond.
Paper / Supplementary / Project / Code / Bibtex

3D Object Detection from a Single RGB Image via Perspective Points
Siyuan Huang, Yixin Chen, Tao Yuan, Siyuan Qi, Yixin Zhu, Song-Chun Zhu
Neural Information Processing Systems (NeurIPS) 2019.
Paper

Holistic⁺⁺ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense
Yixin Chen^* , Siyuan Huang^*, Tao Yuan, Siyuan Qi, Yixin Zhu, Song-Chun Zhu
* Equal contributions
The IEEE International Conference on Computer Vision (ICCV) 2019.
Paper / Supplementary / Project / Code / Bibtex

Inferring Shared Attention in Social Scene Videos
Lifeng Fan *, Yixin Chen *, Ping Wei, Wenguan Wang, Song-Chun Zhu
* Equal contributions
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018.
Paper / Project / Bibtex