Research
My research lies at the intersection of computer vision, machine learning, and robotics. My current focus is on digital humans, 3D generative AI, and embodied AI. Example topics: 3D human avatar generation, human motion generation, humanoid control, etc.
AGG: Amortized Generative 3D Gaussians for Single Image to 3D
Dejia Xu ,
Ye Yuan ,
Morteza Mardani ,
Sifei Liu ,
Jiaming Song ,
Zhangyang Wang ,
Arash Vahdat
arXiv , 2024
project page |
arXiv |
video
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GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning
Ye Yuan *,
Xueting Li *,
Yangyi Huang ,
Shalini De Mello ,
Koki Nagano ,
Jan Kautz ,
Umar Iqbal (*Equal Contribution)
CVPR , 2024   (Highlight)
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arXiv |
video
PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios
Jingbo Wang ,
Zhengyi Luo ,
Ye Yuan ,
Yixuan Li ,
Bo Dai
CVPR , 2024
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arXiv |
video |
code
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PACE: Human and Camera Motion Estimation from in-the-wild Videos
Muhammed Kocabas ,
Ye Yuan ,
Pavlo Molchanov ,
Yunrong Guo ,
Michael Black ,
Otmar Hilliges ,
Jan Kautz ,
Umar Iqbal
3DV , 2024   (Spotlight Presentation)
project page |
arXiv |
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PhysDiff: Physics-Guided Human Motion Diffusion Model
Ye Yuan ,
Jiaming Song ,
Umar Iqbal ,
Arash Vahdat ,
Jan Kautz
ICCV , 2023   (Oral Presentation)
project page |
arXiv |
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Learning Human Dynamics in Autonomous Driving Scenarios
Jingbo Wang ,
Ye Yuan ,
Zhengyi Luo ,
Kevin Xie ,
Dahua Lin ,
Umar Iqbal ,
Sanja Fidler ,
Sameh Khamis
ICCV , 2023
arXiv
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Learning Physically Simulated Tennis Players from Broadcast Videos
Haotian Zhang ,
Ye Yuan ,
Viktor Makoviychuk ,
Yunrong Guo ,
Sanja Fidler ,
Xue Bin Peng ,
Kayvon Fatahalian
SIGGRAPH , 2023   (Best Paper Honorable Mention)
project page |
paper |
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Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
Davis Rempe ,
Zhengyi Luo ,
Xue Bin Peng ,
Ye Yuan ,
Kris Kitani ,
Sanja Fidler ,
Or Litany
CVPR , 2023
project page |
arXiv |
demo
RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control
Zhenggang Tang ,
Balakumar Sundaralingam ,
Jonathan Tremblay ,
Bowen Wen ,
Ye Yuan ,
Stephen Tyree ,
Charles Loop ,
Alexander Schwing ,
Stan Birchfield
ICRA , 2023
project page |
arXiv |
video |
data
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Embodied Scene-aware Human Pose Estimation
Zhengyi Luo ,
Shun Iwase ,
Ye Yuan ,
Kris Kitani
NeurIPS , 2022
project page |
arXiv |
video
Unified Simulation, Perception, and Generation of Human Behavior
Ye Yuan
Ph.D. Thesis, Robotics Institute, CMU, 2022
arXiv
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GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras
Ye Yuan ,
Umar Iqbal ,
Pavlo Molchanov ,
Kris Kitani ,
Jan Kautz
CVPR , 2022   (Oral Presentation - Top 4.2%)
project page |
arXiv |
video |
code
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Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design
Ye Yuan ,
Yuda Song ,
Zhengyi Luo ,
Wen Sun ,
Kris Kitani
ICLR , 2022   (Oral Presentation - Top 1.6%)
project page |
arXiv |
openreview |
code
Online No-regret Model-Based Meta RL for Personalized Navigation
Yuda Song ,
Ye Yuan ,
Wen Sun ,
Kris Kitani
Learning for Dynamics & Control (L4DC) , 2022
paper
Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation
Zhengyi Luo ,
Ryo Hachiuma ,
Ye Yuan ,
Kris Kitani
NeurIPS , 2021
project page |
arXiv |
video |
code
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting
Ye Yuan ,
Xinshuo Weng ,
Yanglan Ou ,
Kris Kitani
ICCV , 2021
project page |
arXiv |
code
SimPoE: Simulated Character Control for 3D Human Pose Estimation
Ye Yuan ,
Shih-En Wei ,
Tomas Simon ,
Kris Kitani ,
Jason Saragih
CVPR , 2021   (Oral Presentation - Top 4.2%)
project page |
arXiv |
talk |
video
PTP: Parallelized 3D Tracking and Prediction with Graph Neural Networks and Diversity Sampling
Xinshuo Weng *,
Ye Yuan *,
Kris Kitani (*Equal Contribution)
RA-L and ICRA , 2021   (Best Student Paper Candidate < 2%)
project page |
arXiv |
code
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Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis
Ye Yuan ,
Kris Kitani
NeurIPS , 2020
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arXiv |
video |
code
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction
Ye Yuan ,
Kris Kitani
ECCV , 2020
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arXiv |
talk |
summary |
video |
code
Efficient Non-Line-of-Sight Imaging from Transient Sinograms
Mariko Isogawa ,
Dorian Yao Chan ,
Ye Yuan ,
Kris Kitani ,
Matthew O'Toole
ECCV , 2020
project page |
arXiv |
summary |
video
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Diverse Trajectory Forecasting with Determinantal Point Processes
Ye Yuan ,
Kris Kitani
ICLR , 2020
arXiv |
openreview |
video
Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation
Mariko Isogawa ,
Ye Yuan ,
Matthew O'Toole ,
Kris Kitani
CVPR , 2020
project page |
arXiv |
video |
code
Generative Hybrid Representations for Activity Forecasting with No-Regret Learning
Jiaqi Guan ,
Ye Yuan ,
Kris Kitani ,
Nick Rhinehart
CVPR , 2020   (Oral Presentation - Top 5.7%)
arXiv |
data
Back-Hand-Pose: 3D Hand Pose Estimation for a Wrist-worn Camera via Dorsum Deformation Network
Erwin Wu ,
Ye Yuan ,
Hui-Shyong Yeo ,
Aaron Quigley ,
Hideki Koike ,
Kris Kitani
ACM Symposium on User Interface Software and Technology (UIST) , 2020
paper |
video
MonoEye: Multimodal Human Motion Capture System Using A Single Ultra-Wide Fisheye Camera
Dong-Hyun Hwang ,
Kohei Aso ,
Ye Yuan ,
Kris Kitani ,
Hideki Koike
ACM Symposium on User Interface Software and Technology (UIST) , 2020
paper |
video
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Ego-Pose Estimation and Forecasting as Real-Time PD Control
Ye Yuan ,
Kris Kitani
ICCV , 2019
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arXiv |
video |
code |
data
3D Ego-Pose Estimation via Imitation Learning
Ye Yuan ,
Kris Kitani
ECCV , 2018
paper |
video
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Computational Design of Transformables
Ye Yuan ,
Changxi Zheng ,
Stelian Coros
ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA) , 2018
paper |
video
Computational Abstractions for Interactive Design of Robotic Devices
Ruta Desai ,
Ye Yuan ,
Stelian Coros
ICRA , 2017
paper |
video
Continuous Optimization of Interior Carving in 3D Fabrication
Yue Xie,
Ye Yuan ,
Xiang Chen ,
Changxi Zheng ,
Kun Zhou
Frontiers of Computer Science , 2017
paper
Conference Reviewer
NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, ICRA, SIGGRAPH, Eurographics
Journal Reviewer
JMLR, TMLR, TPAMI, TIP, RA-L