Scholar
Yao He
Google Scholar ID: qd8K1wIAAAAJ
Stanford University
Citations & Impact
Citations
42
H-index
4
i10-index
2
Publications
10
Co-authors
0
Publications
Cited
0
Resume (English only)
Academic Achievements
- Publications:
- - Artist-Created Mesh Generation from Raw Observation, ICCV End-to-End 3D Learning workshop, 2025
- - Robust Visual Odometry using Rigidly-Bundled Arbitrarily-Arranged Multi-Cameras, IEEE Robotics and Automation Letters (RA-L), 2025
- - Feed-forward Monocular Human Performance Capture, ICLR, 2026 (under review)
- - Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids, CoRL, 2025
- - Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion, ICLR Spotlight, 2025
- - Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid, RSS, 2025
- - FIReStereo: Forest InfraRed Stereo Dataset for UAS Depth Perception in Visually Degraded Environments, RA-L, 2025
- - FoundLoc: Vision-based Onboard Aerial Localization in the Wild, arXiv, 2023
- - Towards Robust Visual-Inertial Odometry with Multiple Non-Overlapping Monocular Cameras, IROS, 2022
- - Computational Efficient Simulation of Kelvin Wake for Unmanned Surface Vehicles, RCAR, 2021
Research Experience
- Served as a research associate at CMU Robotics Institute, focusing on building efficient and versatile mobile robot systems that can robustly perceive and safely navigate in unstructured environments. 2021 CMU Robotics Institute Summer Scholar.
Education
- Stanford University, Master's degree, Advisors: Prof. Ehsan Adeli, Prof. Youngjoong Kwon; CMU Robotics Institute, Research Associate, Advisor: Prof. Sebastian Scherer.
Background
- Currently a second-year Master’s student at Stanford, working on computer vision and robotics. Working with Prof. Ehsan Adeli and Prof. Youngjoong Kwon as part of the Stanford Translation AI Lab (STAI) and Stanford Vision and Learning (SVL). Also a member of the Toddlerbot team, advised by Prof. Shuran Song and Prof. Karen Liu.
Miscellany
- Teaching Experience:
- - EE/CS 227 Robot Perception (Fall 2025) - Stanford
- - MAT2002 Ordinary Differential Equations (Spring 2022) - CUHK-Shenzhen
- - CSC3002 Introduction to Computer Science: Programming Paradigms (Spring 2021) - CUHK-Shenzhen
- - MAT1002 Calculus II (Spring 2020) - CUHK-Shenzhen
- - PHY1001 Mechanics (Fall 2019) - CUHK-Shenzhen
- Professional Service:
- - CMU MRSD Mentor: Resilient Subcanopy UAS Navigation Through Smoke for Wildfire Application (EmberEye)
- - Co-organized Events: Tartan Planning Series, ICCV 2023 SLAM Challenge
- - Reviewer: IJRR, RA-L, IROS, ICRA, CVPR
Co-authors