Liyuan Zhu 朱力源

I am a first-year PhD student in Gradient Spaces Group, Stanford CEE, advised by Iro Armeni. I work at the intersection of 3D vision and built environments. Before this, I obtained my master's at ETH Zurich, working with Konrad Schindler, Iro Armeni, and Shengyu Huang. I am interested in 3D vision, and spatial computing, and using them to solve interesting problems. I enjoy playing badminton, swimming, and skiing in my spare time.
Office: 290 Y2E2, 473 Via Ortega, Stanford, 94305 CA
Email / Github / LinkedIn / Twitter

Education

Ph.D. student, Stanford University, Sep. 2023 - present.
M.Sc in Geomatics (3D Vision and Navigation), ETH Zurich, Sep. 2021 - Aug. 2023.
B.Eng in Photogrammetry, Wuhan University, Sep. 2017 - Jun. 2021.

Publications

Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments

Liyuan Zhu, Shengyu Huang, Konrad Schindler, Iro Armeni
In CVPR, 2024 (highlight)
Code / Project / Preprint

DeFlow: Self-supervised 3D Motion Estimation of Debris Flow

Liyuan Zhu, Yuru Jia, Shengyu Huang, Nicholas Meyer, Andreas Wieser, Konrad Schindler, Jordan Aaron
In CVPR Workshop, 2023 (Best paper award)
Code / Project / Paper

Honors & Awards

Culmann Prize (Best Master's Thesis), ETH Zurich, Nov. 2023.
Best paper award, CVPR Workshop (PCV), 2023.

Experiences

Head TA, "Computer Vision for the Built Environment" CEE 247C, Stanford University, Winter Quarter, 2024.
Teaching Assistant, "Multivariate Statistics and Machine Learning," Spring semester, ETH Zurich, 2023 fall.
Research Assistant, Photogrammetry and Remote Sensing, Konrad Schindler, ETH Zurich, Feb. 2022 - Jun. 2023.
Research Assistant, Hong Kong University of Science and Technology, Jun. 2020 - Sep. 2020
Badminton Team Captain, School of RS, Wuhan University, 2020.

Academic Services

Reviewer: ICCVW 2023, CVPR 2024, ECCV 2024.