Zhengyi Luo

Orcid: 0000-0002-1842-7622

Affiliations:
  • Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA


According to our database1, Zhengyi Luo authored at least 28 papers between 2018 and 2025.

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Timeline

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Bibliography

2025
MaskedManipulator: Versatile Whole-Body Control for Loco-Manipulation.
CoRR, May, 2025

Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning.
CoRR, May, 2025

ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills.
CoRR, February, 2025

CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots.
CoRR, 2024

Grasping Diverse Objects with Simulated Humanoids.
CoRR, 2024

SMPLOlympics: Sports Environments for Physically Simulated Humanoids.
CoRR, 2024

Real-Time Simulated Avatar from Head-Mounted Sensors.
CoRR, 2024

Harmony4D: A Video Dataset for In-The-Wild Close Human Interactions.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Omnigrasp: Grasping Diverse Objects with Simulated Humanoids.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Universal Humanoid Motion Representations for Physics-Based Control.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Real-Time Simulated Avatar from Head-Mounted Sensors.
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.
Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023
Learning Human Dynamics in Autonomous Driving Scenarios.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Perpetual Humanoid Control for Real-time Simulated Avatars.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
From Universal Humanoid Control to Automatic Physically Valid Character Creation.
CoRR, 2022

Embodied Scene-aware Human Pose Estimation.
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.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Dynamics-regulated kinematic policy for egocentric pose estimation.
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.
CoRR, 2020

Learning Shape Representations for Clothing Variations in Person Re-Identification.
CoRR, 2020

3D Human Motion Estimation via Motion Compression and Refinement.
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.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Cloud Chaser: real time deep learning computer vision on low computing power devices.
Proceedings of the Eleventh International Conference on Machine Vision, 2018


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