Hi there! My name is Zhengyi Luo (罗正宜) and I am a second year PhD student at Carnegie Mellon University’s Robotics Institute, School of Computer Science, advised by Prof. Kris Kitani. I earned my bachelor’s degree from University of Pennsylvania in 2019, where I worked with Prof. Kostas Daniilidis.
My research interest lies at the intersection of vision, learning, and robotics. I am working on topcis including human pose estimation, human-object interaction, human motion modelling etc. Through my research, I want to create methods that effectively interpret spatial-temporal sensory input and build a compositional representation of the 3D world to reason about the interactions between agents and the physical environment. On the application side, I am excited about assistive robots, autonomous vehicles, and AR/VR.

Pittsburgh PA, 15213
news
Sep 14, 2022 | One paper on embodied human pose estimation accpeted to NeurIPS 2022! | |
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Sep 1, 2022 | Joining Meta as a Visiting Research at Meta Reality Labs, Pittsburgh for a year! | |
Aug 30, 2022 | Awarded Qualcomm Innovation Fellowship 2022! | |
May 15, 2022 | Joining Nvidia as a Research Scientist Intern at Toronto AI Lab for Summer 2022! | |
Jan 28, 2022 | One paper on simulated agent design accpeted to ICLR 2022! | |
Sep 28, 2021 | One paper on egocentric human pose estimation accpeted to NeurIPS 2021! |
Affiliations
Publications

- Perpetual Humanoid Control for Real-time Simulated Avatars
- Zhengyi Luo, Jinkun Cao, Alexander Winkler, Kris Kitani, Weipeng Xu
- In submission
- [Project]

- Learning Shape Representations for Clothing Variations in Person Re-Identification
- Yu-Jhe Li, Zhengyi Luo, Xinshuo Weng, Kris M. Kitani
- arXiv, 2020
- [Paper]

- Cross-Domain 3D Equivariant Image Embeddings
- Carlos Esteves, Avneesh Sud, Zhengyi Luo, Kostas Daniilidis, Ameesh Makadia
- ICML 2019
- [Paper]

- Visual Analytics Approach to Vessel Behaviour Analysis
- Liang Jin*, Zhengyi Luo*, Shu Gao
- Journal of Navigation, 2018,71(5): 1195-1209
- * indicates equal contribution
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Professional Services
Conference Reviewer: ICML (2020, 2021, 2022, 2023), ICLR (2022, 2023), NeurIPS (2021, 2022), CVPR (2022, 2023), ICCV (2021), ECCV (2022)
Journal Reviewer: IJCV, TMM