Zhengyi Luo

According to our database, Zhengyi Luo authored at least 38 papers between 2018 and 2026.

Collaborative distances:

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

2026

MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model and Smart Primitives.

Tingwu Wang, Olivier Dionne, Michael de Ruyter, David Minor, Davis Rempe, Kaifeng Zhao, Mathis Petrovich, Ye Yuan, Chenran Li, Zhengyi Luo, Brian Robison, Xavier Blackwell, Bernardo Antoniazzi, Xue Bin Peng, Yuke Zhu, Simon Yuen

CoRR, April, 2026

Ground Reaction Inertial Poser: Physics-based Human Motion Capture from Sparse IMUs and Insole Pressure Sensors.

Ryosuke Hori, Jyun-Ting Song, Zhengyi Luo, Jinkun Cao, Soyong Shin, Hideo Saito, Kris Makoto Kitani

CoRR, March, 2026

2025

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives.

Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran K. Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbeláez, Gedas Bertasius, David Crandall, Dima Damen, Jakob Julian Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard A. Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shout, Michael Wray

Int. J. Comput. Vis., December, 2025

CHIP: Adaptive Compliance for Humanoid Control through Hindsight Perturbation.

Sirui Chen, Zi-ang Cao, Zhengyi Luo, Fernando Castañeda, Chenran Li, Tingwu Wang, Ye Yuan, Linxi "Jim" Fan, C. Karen Liu, Yuke Zhu

CoRR, December, 2025

Opening the Sim-to-Real Door for Humanoid Pixel-to-Action Policy Transfer.

Haoru Xue, Tairan He, Zi Wang, Qingwei Ben, Wenli Xiao, Zhengyi Luo, Xingye Da, Fernando Castañeda, Guanya Shi, Shankar Sastry, Linxi Jim Fan, Yuke Zhu

CoRR, December, 2025

VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation.

Tairan He, Zi Wang, Haoru Xue, Qingwei Ben, Zhengyi Luo, Wenli Xiao, Ye Yuan, Xingye Da, Fernando Castañeda, Shankar Sastry, Changliu Liu, Guanya Shi, Linxi Fan, Yuke Zhu

CoRR, November, 2025

SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control.

Zhengyi Luo, Ye Yuan, Tingwu Wang, Chenran Li, Sirui Chen, Fernando Castañeda, Zi-Ang Cao, Jiefeng Li, David Minor, Qingwei Ben, Xingye Da, Runyu Ding, Cyrus Hogg, Lina Song, Edy Lim, Eugene Jeong, Tairan He, Haoru Xue, Wenli Xiao, Zi Wang, Simon Yuen, Jan Kautz, Yan Chang, Umar Iqbal, Linxi Jim Fan, Yuke Zhu

CoRR, November, 2025

BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning.

Yitang Li, Zhengyi Luo, Tonghe Zhang, Cunxi Dai, Anssi Kanervisto, Andrea Tirinzoni, Haoyang Weng, Kris Kitani, Mateusz Guzek, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta, Guanya Shi

CoRR, November, 2025

Self-Improving Vision-Language-Action Models with Data Generation via Residual RL.

Wenli Xiao, Haotian Lin, Andy Peng, Haoru Xue, Tairan He, Yuqi Xie, Fengyuan Hu, Jimmy Wu, Zhengyi Luo, Linxi Jim Fan, Guanya Shi, Yuke Zhu

CoRR, November, 2025

HDMI: Learning Interactive Humanoid Whole-Body Control from Human Videos.

Haoyang Weng, Yitang Li, Nikhil Sobanbabu, Zihan Wang, Zhengyi Luo, Tairan He, Deva Ramanan, Guanya Shi

CoRR, September, 2025

Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning.

Zhengyi Luo, Chen Tessler, Toru Lin, Ye Yuan, Tairan He, Wenli Xiao, Yunrong Guo, Gal Chechik, Kris Kitani, Linxi Fan, Yuke Zhu

CoRR, May, 2025

ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills.

Tairan He, Jiawei Gao, Wenli Xiao, Yuanhang Zhang, Zi Wang, Jiashun Wang, Zhengyi Luo, Guanqi He, Nikhil Sobanbab, Chaoyi Pan, Zeji Yi, Guannan Qu, Kris Kitani, Jessica K. Hodgins, Linxi Fan, Yuke Zhu, Changliu Liu, Guanya Shi

CoRR, February, 2025

MaskedManipulator: Versatile Whole-Body Control for Loco-Manipulation.

Chen Tessler, Yifeng Jiang, Erwin Coumans, Zhengyi Luo, Xue Bin Peng, Gal Chechik

Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots.

Tairan He, Wenli Xiao, Toru Lin, Zhengyi Luo, Zhenjia Xu, Zhenyu Jiang, Jan Kautz, Changliu Liu, Guanya Shi, Xiaolong Wang, Linxi Jim Fan, Yuke Zhu

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control.

Guy Tevet, Sigal Raab, Setareh Cohan, Daniele Reda, Zhengyi Luo, Xue Bin Peng, Amit Haim Bermano, Michiel van de Panne

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Grasping Diverse Objects with Simulated Humanoids.

Zhengyi Luo, Jinkun Cao, Sammy Christen, Alexander Winkler, Kris Kitani, Weipeng Xu

CoRR, 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

Real-Time Simulated Avatar from Head-Mounted Sensors.

Zhengyi Luo, Jinkun Cao, Rawal Khirodkar, Alexander Winkler, Kris Kitani, Weipeng Xu

CoRR, 2024

Harmony4D: A Video Dataset for In-The-Wild Close Human Interactions.

Rawal Khirodkar, Jyun-Ting Song, Jinkun Cao, Zhengyi Luo, Kris Kitani

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Omnigrasp: Grasping Diverse Objects with Simulated Humanoids.

Zhengyi Luo, Jinkun Cao, Sammy Christen, Alexander Winkler, Kris Kitani, Weipeng Xu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation.

Tairan He, Zhengyi Luo, Wenli Xiao, Chong Zhang, Kris Kitani, Changliu Liu, Guanya Shi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Universal Humanoid Motion Representations for Physics-Based Control.

Zhengyi Luo, Jinkun Cao, Josh Merel, Alexander Winkler, Jing Huang, Kris M. Kitani, Weipeng Xu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives.

Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran K. Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbeláez, Gedas Bertasius, Dima Damen, Jakob J. Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard A. Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shout, Michael Wray

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

Real-Time Simulated Avatar from Head-Mounted Sensors.

Zhengyi Luo, Jinkun Cao, Rawal Khirodkar, Alexander Winkler, Jing Huang, Kris Kitani, Weipeng Xu

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

OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning.

Tairan He, Zhengyi Luo, Xialin He, Wenli Xiao, Chong Zhang, Weinan Zhang, Kris M. Kitani, Changliu Liu, Guanya Shi

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

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

Perpetual Humanoid Control for Real-time Simulated Avatars.

Zhengyi Luo, Jinkun Cao, Alexander Winkler, Kris Kitani, Weipeng Xu

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

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

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

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

Learning Shape Representations for Clothing Variations in Person Re-Identification.

Yu-Jhe Li, Zhengyi Luo, Xinshuo Weng, Kris M. Kitani

CoRR, 2020

3D Human Motion Estimation via Motion Compression and Refinement.

Zhengyi Luo, S. Alireza Golestaneh, Kris M. Kitani

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Cross-Domain 3D Equivariant Image Embeddings.

Carlos Esteves, Avneesh Sud, Zhengyi Luo, Kostas Daniilidis, Ameesh Makadia

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Cloud Chaser: real time deep learning computer vision on low computing power devices.

Zhengyi Luo, Austin Small, Liam Dugan, Stephen Lane

Proceedings of the Eleventh International Conference on Machine Vision, 2018