I recently obtained my Master’s degree in Information Technology and Electrical Engineering from
ETH Zürich, where I was advised by Prof. Marc Pollefeys and Prof.
Christian Holz. My research focused on
Human-Object Interaction and Computer Vision. Prior to that, I completed my Bachelor's degree in
Information Technology at the Technical University of Munich (TUM), Germany, where I worked on
projects related to Signal Processing and Robotics.
During my Master's studies, I completed an 8-month internship at Carl Zeiss Baden-Württemberg, Germany.
My work focused on developing a multi-camera synchronization system within an optical object tracking pipeline for vehicle assembly lines.
I also worked part-time as a Software Engineer at TALPA Inspection, a spin-off from ETH Zurich,
My responsibilities included automating the measurement pipeline for electrochemical detection of corrosion in reinforced concrete.
I am currently seeking a PhD position. My research interests lie in the areas of Computer Vision,
Human-Computer Interaction, and Embodied AI.
My research interests lie at the Computer Vision and Human-Computer Interaction
EgoPressure: A Dataset for Hand Pressure and Pose Estimation in Egocentric Vision Yiming Zhao*, Taein Kwon*, Paul Streli*, Marc Pollefeys, Christian Holz
Paper /
Project Page Computer Vision and Pattern Recognition (CVPR), 2025
🏆 Highlight (top 3%)
We introduce EgoPressure, a novel egocentric dataset that captures detailed touch contact and pressure interactions.
We propose PressureFormer, a novel baseline model for contact pressure estimation
Human from Blur: Human Pose Tracking from Blurry Images Yiming Zhao, Denys Rozumnyi, Jie Song, Otmar Hilliges, Marc Pollefeys, Martin R. Oswald
Paper International Conference on Computer Vision (ICCV), 2023
An optimization-based method to extract human body pose from blurry images
SemSpray: Virtual Reality As-Is Semantic Information Labeling Tool for 3D Spatial Data Yiming Zhao*,Cyprien Fol*, Yuchang Jiang, Tianyu Wu, Iro Armeni
EC3 2022 Conference Paper