Picture taken in Matterhorn

Le Chen
le dot chen at tuebingen dot mpg dot de

I am a CS PhD student at the Empirical Inference department of Max Planck Institute for Intelligent Systems and ETH Zurich, supervised by Prof. Bernhard Schölkopf, working on robotics.

I obtained my master's degree in Electrical Engineering and Information Technology at ETH Zurich. I also spent time at Microsoft Mixed Reality & AI Lab in Zurich, Tencent AI Lab and Tencent Robotics X Lab.

Outside of academics, my hobbies include music, photography, doing various kinds of sports, and playing League of Legends and StarCraft II.

E-Mail / LinkedIn / Github

Research

Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion

Simon Guist, Jan Schneider, Hao Ma, Le Chen, Vincent Berenz, Julian Martus, Heiko Ott, Felix Grüninger, Michael Muehlebach, Jonathan Fiene, Bernhard Schölkopf, Dieter Büchler
Robotics: Science and Systems (RSS), 2024
coming soon...

GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation

Quankai Gao, Qiangeng Xu, Zhe Cao, Ben Mildenhall, Wenchao Ma, Le Chen, Danhang Tang, Ulrich Neumann
Preprint, 2024.
arxiv  •   website  •   code

Identifying Policy Gradient Subspaces

Jan Schneider, Pierre Schumacher, Simon Guist, Le Chen, Daniel Haeufle, Bernhard Schölkopf, Dieter Büchler
International Conference on Learning Representations (ICLR), 2024
arxiv  •   website  •   code

LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry

Weirong Chen, Le Chen, Rui Wang, Marc Pollefeys
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024
arxiv  •   website

Leveraging Neural Radiance Fields for Uncertainty Aware Visual Localization

Le Chen, Weirong Chen, Rui Wang, Marc Pollefeys
IEEE International Conference on Robotics and Automation (ICRA), 2024
arxiv  •   supp video

Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields

Soomin Lee*, Le Chen*, Jiahao Wang, Alexander Liniger, Suryansh Kumar, Fisher Yu
IEEE Robotics and Automation Letters (RA-L), 2022
IEEE International Conference on Robotics and Automation (ICRA), 2023
(*: equal contribution)
arxiv  •   website  •   supp video  •   bibtex

Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning

Yunke Ao*, Le Chen*, Florian Tschopp, Michel Breyer, Andrei Cramariuc, Roland Siegwart
IEEE International Conference on Robotics and Automation (ICRA), 2022
(*: equal contribution)
arxiv  •   poster  •   supp video  •   code  •   bibtex

Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning

Le Chen*, Yunke Ao*, Florian Tschopp, Andrei Cramariuc, Michel Breyer, Jen Jen Chung, Roland Siegwart, Cesar Cadena
Conference on Robot Learning (CoRL), 2020
(*: equal contribution)
arxiv  •   spotlight talk  •   supp video  •   code  •   bibtex

Jiles-Atherton Based Hysteresis Identification of Shape Memory Alloy-Actuating Compliant Mechanism via Modified Particle Swarm Optimization Algorithm

Le Chen, Ying Feng, Rui Li, Xinkai Chen, Hui Jiang,
Complexity, vol. 2019.
paper   •   bibtex

Projects

Transition From Model-Based to Model-Free Actor-Critic Reinforcement Learning

Le Chen, Yunke Ao, Kaiyue Shen, Zheyu Ye,
Course Project in Deep Learning, 2020
report   •   code

Leveraging Pixel Correspondences for Sparse-to-Dense Feature-Metric Localization

Le Chen, Lixin Xue, Zimeng Jiang
Course Project in 3D Vision, 2020
report   •   code


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