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ORCIDYe Yuan 0007
Person information
- affiliation: NVIDIA, Research Scientist, USA
- affiliation (PhD 2022): Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA
Other persons with the same name
- Ye Yuan (aka: Yuan Ye) — disambiguation page
- Ye Yuan 0001
![[0000-0002-0247-9866]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0247-9866")
— Beijing Institute of Technology, China (and 2 more) - Ye Yuan 0002 — Huazhong University of Science and Technology, School of Automation, Wuhan, China (and 2 more)
- Ye Yuan 0003 — Tsinghua University, Institute of Microelectronics / TNLIST, Beijing, China
- Ye Yuan 0004 — Tianjin University, College of Management and Economics, China
- Ye Yuan 0005 — Kyushu University, Graduate School of Mathematics, Fukuoka, Japan
- Ye Yuan 0006 — Beijing University of Technology, College of Information and Communication Engineering / Advanced Innovation Center for Future Internet Technology, China
- Ye Yuan 0008 — Tsinghua University, Department of Automotive Engineering, Beijing, China
- Ye Yuan 0009 — National University of Defense Technology, State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Changsha, China
- Ye Yuan 0010 (aka: Irene Ye Yuan) — University of Minnesota, Department of Computer Science and Engineering, Minneapolis, MN, USA
- Ye Yuan 0011 — Harbin Engineering University, Harbin, China
- Ye Yuan 0012 — Texas A&M University, TX, USA
- Ye Yuan 0013 — Southwest University, Chongqing, China
- Ye Yuan 0014 — Chinese Academy of Sciences, Institute of Green and Intelligent Technology, Chongqing, China
- Ye Yuan 0015 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China (and 1 more)
- Ye Yuan 0016 — Peking University, School of Computer Science, Beijing, China
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Books and Theses
- 2022
[b1]Ye Yuan:
Unified Simulation, Perception, and Generation of Human Behavior. Carnegie Mellon University, USA, 2022
Journal Articles
- 2023
- [j2]Haotian Zhang, Ye Yuan, Viktor Makoviychuk, Yunrong Guo, Sanja Fidler, Xue Bin Peng, Kayvon Fatahalian:
Learning Physically Simulated Tennis Skills from Broadcast Videos. ACM Trans. Graph. 42(4): 95:1-95:14 (2023) - 2021
- [j1]Xinshuo Weng, Ye Yuan, Kris Kitani:
PTP: Parallelized Tracking and Prediction With Graph Neural Networks and Diversity Sampling. IEEE Robotics Autom. Lett. 6(3): 4640-4647 (2021)
Conference and Workshop Papers
- 2024
- [c24]Muhammed Kocabas, Ye Yuan, Pavlo Molchanov, Yunrong Guo, Michael J. Black, Otmar Hilliges, Jan Kautz, Umar Iqbal:
PACE: Human and Camera Motion Estimation from in-the-wild Videos. 3DV 2024: 397-408 - [c23]Jingbo Wang, Zhengyi Luo, Ye Yuan, Yixuan Li, Bo Dai:
PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios. CVPR 2024: 718-728 - [c22]Ye Yuan, Xueting Li, Yangyi Huang, Shalini De Mello, Koki Nagano, Jan Kautz, Umar Iqbal:
GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning. CVPR 2024: 896-905 - [c21]Jiefeng Li, Ye Yuan, Davis Rempe, Haotian Zhang, Pavlo Molchanov, Cewu Lu, Jan Kautz, Umar Iqbal:
COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation. ECCV (16) 2024: 426-446 - 2023
- [c20]Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany:
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion. CVPR 2023: 13756-13766 - [c19]Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz:
PhysDiff: Physics-Guided Human Motion Diffusion Model. ICCV 2023: 15964-15975 - [c18]Jingbo Wang, Ye Yuan, Zhengyi Luo, Kevin Xie, Dahua Lin, Umar Iqbal, Sanja Fidler, Sameh Khamis:
Learning Human Dynamics in Autonomous Driving Scenarios. ICCV 2023: 20739-20749 - 2022
- [c17]Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, Jan Kautz:
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras. CVPR 2022: 11028-11039 - [c16]Ye Yuan, Yuda Song, Zhengyi Luo, Wen Sun, Kris M. Kitani:
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design. ICLR 2022 - [c15]Yuda Song, Ye Yuan, Wen Sun, Kris Kitani:
Online No-regret Model-Based Meta RL for Personalized Navigation. L4DC 2022: 166-179 - [c14]Zhengyi Luo, Shun Iwase, Ye Yuan, Kris Kitani:
Embodied Scene-aware Human Pose Estimation. NeurIPS 2022 - 2021
- [c13]Ye Yuan, Shih-En Wei, Tomas Simon, Kris Kitani, Jason M. Saragih:
SimPoE: Simulated Character Control for 3D Human Pose Estimation. CVPR 2021: 7159-7169 - [c12]Ye Yuan, Xinshuo Weng, Yanglan Ou, Kris Kitani:
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting. ICCV 2021: 9793-9803 - [c11]Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Kris Kitani:
Dynamics-regulated kinematic policy for egocentric pose estimation. NeurIPS 2021: 25019-25032 - 2020
- [c10]Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart:
Generative Hybrid Representations for Activity Forecasting With No-Regret Learning. CVPR 2020: 170-179 - [c9]Mariko Isogawa, Ye Yuan, Matthew O'Toole, Kris M. Kitani:
Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation. CVPR 2020: 7011-7020 - [c8]Mariko Isogawa, Dorian Chan, Ye Yuan, Kris Kitani, Matthew O'Toole:
Efficient Non-Line-of-Sight Imaging from Transient Sinograms. ECCV (7) 2020: 193-208 - [c7]Ye Yuan, Kris Kitani:
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction. ECCV (9) 2020: 346-364 - [c6]Ye Yuan, Kris M. Kitani:
Diverse Trajectory Forecasting with Determinantal Point Processes. ICLR 2020 - [c5]Ye Yuan, Kris Kitani:
Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis. NeurIPS 2020 - [c4]Dong-Hyun Hwang, Kohei Aso, Ye Yuan, Kris M. Kitani, Hideki Koike:
MonoEye: Multimodal Human Motion Capture System Using A Single Ultra-Wide Fisheye Camera. UIST 2020: 98-111 - [c3]Erwin Wu, Ye Yuan, Hui-Shyong Yeo, Aaron Quigley, Hideki Koike, Kris M. Kitani:
Back-Hand-Pose: 3D Hand Pose Estimation for a Wrist-worn Camera via Dorsum Deformation Network. UIST 2020: 1147-1160 - 2019
- [c2]Ye Yuan, Kris Kitani:
Ego-Pose Estimation and Forecasting As Real-Time PD Control. ICCV 2019: 10081-10091 - 2018
- [c1]Ye Yuan, Kris M. Kitani:
3D Ego-Pose Estimation via Imitation Learning. ECCV (16) 2018: 763-778
Informal and Other Publications
- 2025
- [i28]Jiefeng Li, Jinkun Cao, Haotian Zhang, Davis Rempe, Jan Kautz, Umar Iqbal, Ye Yuan:
GENMO: A GENeralist Model for Human MOtion. CoRR abs/2505.01425 (2025) - [i27]Zhengyi Luo, Chen Tessler, Toru Lin, Ye Yuan, Tairan He, Wenli Xiao, Yunrong Guo, Gal Chechik, Kris Kitani, Linxi Fan, Yuke Zhu:
Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning. CoRR abs/2505.12278 (2025) - 2024
- [i26]Jingbo Wang, Zhengyi Luo, Ye Yuan, Yixuan Li, Bo Dai:
PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios. CoRR abs/2404.19722 (2024) - [i25]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:
SMPLOlympics: Sports Environments for Physically Simulated Humanoids. CoRR abs/2407.00187 (2024) - [i24]Jiefeng Li, Ye Yuan, Davis Rempe, Haotian Zhang, Pavlo Molchanov, Cewu Lu, Jan Kautz, Umar Iqbal:
COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation. CoRR abs/2408.16426 (2024) - [i23]Xueting Li, Ye Yuan, Shalini De Mello, Gilles Daviet, Jonathan Leaf, Miles Macklin, Jan Kautz, Umar Iqbal:
SimAvatar: Simulation-Ready Avatars with Layered Hair and Clothing. CoRR abs/2412.09545 (2024) - 2023
- [i22]Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany:
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion. CoRR abs/2304.01893 (2023) - [i21]Muhammed Kocabas, Ye Yuan, Pavlo Molchanov, Yunrong Guo, Michael J. Black, Otmar Hilliges, Jan Kautz, Umar Iqbal:
PACE: Human and Camera Motion Estimation from in-the-wild Videos. CoRR abs/2310.13768 (2023) - [i20]Ye Yuan, Xueting Li, Yangyi Huang, Shalini De Mello, Koki Nagano, Jan Kautz, Umar Iqbal:
GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning. CoRR abs/2312.11461 (2023) - 2022
- [i19]Yuda Song, Ye Yuan, Wen Sun, Kris Kitani:
Online No-regret Model-Based Meta RL for Personalized Navigation. CoRR abs/2204.01925 (2022) - [i18]Zhengyi Luo, Shun Iwase, Ye Yuan, Kris Kitani:
Embodied Scene-aware Human Pose Estimation. CoRR abs/2206.09106 (2022) - [i17]Zhengyi Luo, Ye Yuan, Kris M. Kitani:
From Universal Humanoid Control to Automatic Physically Valid Character Creation. CoRR abs/2206.09286 (2022) - [i16]Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz:
PhysDiff: Physics-Guided Human Motion Diffusion Model. CoRR abs/2212.02500 (2022) - 2021
- [i15]Ye Yuan, Xinshuo Weng, Yanglan Ou, Kris Kitani:
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting. CoRR abs/2103.14023 (2021) - [i14]Ye Yuan, Shih-En Wei, Tomas Simon, Kris Kitani, Jason M. Saragih:
SimPoE: Simulated Character Control for 3D Human Pose Estimation. CoRR abs/2104.00683 (2021) - [i13]Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Kris Kitani:
Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation. CoRR abs/2106.05969 (2021) - [i12]Ye Yuan, Yuda Song, Zhengyi Luo, Wen Sun, Kris Kitani:
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design. CoRR abs/2110.03659 (2021) - [i11]Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, Jan Kautz:
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras. CoRR abs/2112.01524 (2021) - 2020
- [i10]Xinshuo Weng, Ye Yuan, Kris Kitani:
Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling. CoRR abs/2003.07847 (2020) - [i9]Ye Yuan, Kris M. Kitani:
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction. CoRR abs/2003.08386 (2020) - [i8]Mariko Isogawa, Ye Yuan, Matthew O'Toole, Kris Kitani:
Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation. CoRR abs/2003.14414 (2020) - [i7]Ye Yuan, Kris Kitani:
Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis. CoRR abs/2006.07364 (2020) - [i6]Mariko Isogawa, Dorian Chan, Ye Yuan, Kris Kitani, Matthew O'Toole:
Efficient Non-Line-of-Sight Imaging from Transient Sinograms. CoRR abs/2008.02787 (2020) - [i5]Xinshuo Weng, Ye Yuan, Kris Kitani:
End-to-End 3D Multi-Object Tracking and Trajectory Forecasting. CoRR abs/2008.11598 (2020) - [i4]Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Shun Iwase, Kris M. Kitani:
Kinematics-Guided Reinforcement Learning for Object-Aware 3D Ego-Pose Estimation. CoRR abs/2011.04837 (2020) - 2019
- [i3]Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart:
Generative Hybrid Representations for Activity Forecasting with No-Regret Learning. CoRR abs/1904.06250 (2019) - [i2]Ye Yuan, Kris Kitani:
Ego-Pose Estimation and Forecasting as Real-Time PD Control. CoRR abs/1906.03173 (2019) - [i1]Ye Yuan, Kris Kitani:
Diverse Trajectory Forecasting with Determinantal Point Processes. CoRR abs/1907.04967 (2019)
Coauthor Index
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