Scholar
Yan Wu
Google Scholar ID: dv1IuQUAAAAJ
ETH, Zurich
Citations & Impact
Citations
229
H-index
7
i10-index
7
Publications
8
Co-authors
16
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Publications:
- - Learning deep sensorimotor policies for vision-based autonomous drone racing, IROS 2023
- - SAGA: Stochastic Whole-Body Grasping with Contact, ECCV 2022
- - TrilevelNAS for Efficient Single Image Super-Resolution, CVPR-NAS workshop 2022
- - SPDNetNAS, IJCAI 2021
- - SparseNAS, AAAI 2021
- - Invited Talk: AutoML seminar, June 2021
Research Experience
- - 2021 - present, Ph.D. student at the Computer Vision and Learning Group, ETH Zürich
- - 2018 - 2021, M.Sc. research projects at ETH Zürich, collaborating with multiple professors
Education
- - Ph.D.: 2021 - present, ETH Zürich, Computer Vision and Robotics, supervised by Prof. Siyu Tang
- - M.Sc.: 2018 - 2021, ETH Zürich, Electrical Engineering and Information Technology, closely worked with Prof. Zhiwu Huang, Prof. Siyu Tang, and Dr. Suryansh Kumar
- - B.Sc.: 2017 - 2018, University of Bologna, Automation Engineering (Double Degree), graduated with honor; 2014 - 2017, Tongji University, Automation Engineering (Double Degree), graduated with honor
Background
- - Research Interests: Human Motion, Reinforcement Learning, Robotics
- - Professional Field: Computer Vision and Robotics
- - Introduction: Focuses on vision-based policy learning to better bridge the gap between vision and action.
