Ye Yuan

According to our database, Ye Yuan authored at least 31 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SMPLOlympics: Sports Environments for Physically Simulated Humanoids.

Zhengyi Luo, Jiashun Wang, Kangni Liu, Haotian Zhang, Chen Tessler, Jingbo Wang, Ye Yuan, Jinkun Cao, Zihui Lin, Fengyi Wang, Jessica K. Hodgins, Kris Kitani

CoRR, 2024

COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation.

Jiefeng Li, Ye Yuan, Davis Rempe, Haotian Zhang, Pavlo Molchanov, Cewu Lu, Jan Kautz, Umar Iqbal

Proceedings of the Computer Vision - ECCV 2024, 2024

GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning.

Ye Yuan, Xueting Li, Yangyi Huang, Shalini De Mello, Koki Nagano, Jan Kautz, Umar Iqbal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios.

Jingbo Wang, Zhengyi Luo, Ye Yuan, Yixuan Li, Bo Dai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PACE: Human and Camera Motion Estimation from in-the-wild Videos.

Muhammed Kocabas, Ye Yuan, Pavlo Molchanov, Yunrong Guo, Michael J. Black, Otmar Hilliges, Jan Kautz, Umar Iqbal

Proceedings of the International Conference on 3D Vision, 2024

2023

Learning Physically Simulated Tennis Skills from Broadcast Videos.

Haotian Zhang, Ye Yuan, Viktor Makoviychuk, Yunrong Guo, Sanja Fidler, Xue Bin Peng, Kayvon Fatahalian

ACM Trans. Graph., August, 2023

Learning Human Dynamics in Autonomous Driving Scenarios.

Jingbo Wang, Ye Yuan, Zhengyi Luo, Kevin Xie, Dahua Lin, Umar Iqbal, Sanja Fidler, Sameh Khamis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PhysDiff: Physics-Guided Human Motion Diffusion Model.

Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion.

Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

From Universal Humanoid Control to Automatic Physically Valid Character Creation.

Zhengyi Luo, Ye Yuan, Kris M. Kitani

CoRR, 2022

Embodied Scene-aware Human Pose Estimation.

Zhengyi Luo, Shun Iwase, Ye Yuan, Kris Kitani

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online No-regret Model-Based Meta RL for Personalized Navigation.

Yuda Song, Ye Yuan, Wen Sun, Kris Kitani

Proceedings of the Learning for Dynamics and Control Conference, 2022

Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design.

Ye Yuan, Yuda Song, Zhengyi Luo, Wen Sun, Kris M. Kitani

Proceedings of the Tenth International Conference on Learning Representations, 2022

GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras.

Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, Jan Kautz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

PTP: Parallelized Tracking and Prediction With Graph Neural Networks and Diversity Sampling.

Xinshuo Weng, Ye Yuan, Kris Kitani

IEEE Robotics Autom. Lett., 2021

Dynamics-regulated kinematic policy for egocentric pose estimation.

Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Kris Kitani

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting.

Ye Yuan, Xinshuo Weng, Yanglan Ou, Kris Kitani

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SimPoE: Simulated Character Control for 3D Human Pose Estimation.

Ye Yuan, Shih-En Wei, Tomas Simon, Kris Kitani, Jason M. Saragih

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Kinematics-Guided Reinforcement Learning for Object-Aware 3D Ego-Pose Estimation.

Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Shun Iwase, Kris M. Kitani

CoRR, 2020

End-to-End 3D Multi-Object Tracking and Trajectory Forecasting.

Xinshuo Weng, Ye Yuan, Kris Kitani

CoRR, 2020

Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling.

Xinshuo Weng, Ye Yuan, Kris Kitani

CoRR, 2020

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 M. Kitani

Proceedings of the UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020

MonoEye: Multimodal Human Motion Capture System Using A Single Ultra-Wide Fisheye Camera.

Dong-Hyun Hwang, Kohei Aso, Ye Yuan, Kris M. Kitani, Hideki Koike

Proceedings of the UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020

Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis.

Ye Yuan, Kris Kitani

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Diverse Trajectory Forecasting with Determinantal Point Processes.

Ye Yuan, Kris M. Kitani

Proceedings of the 8th International Conference on Learning Representations, 2020

DLow: Diversifying Latent Flows for Diverse Human Motion Prediction.

Ye Yuan, Kris Kitani

Proceedings of the Computer Vision - ECCV 2020, 2020

Efficient Non-Line-of-Sight Imaging from Transient Sinograms.

Mariko Isogawa, Dorian Chan, Ye Yuan, Kris Kitani, Matthew O'Toole

Proceedings of the Computer Vision - ECCV 2020, 2020

Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation.

Mariko Isogawa, Ye Yuan, Matthew O'Toole, Kris M. Kitani

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Generative Hybrid Representations for Activity Forecasting With No-Regret Learning.

Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Ego-Pose Estimation and Forecasting As Real-Time PD Control.

Ye Yuan, Kris Kitani

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

3D Ego-Pose Estimation via Imitation Learning.

Ye Yuan, Kris M. Kitani

Proceedings of the Computer Vision - ECCV 2018, 2018