CV
I am Jiawei Fu, an interdisciplinary student researcher on computer vision and robotics.
Table of contents
Basics
Name | Jiawei Fu |
Position | Research Intern |
jiawfu@student.ethz.ch | |
Url | https://jayefu.github.io/ |
Summary | An interdisciplinary student researcher on computer vision and robotics |
Status | I am actively searching for Ph.D. positions in the field of computer vision and robotics |
Research
- 2023.01 - now
Differentiable Morphology for Visual Sensors
Worked with Andrei Atanov, Andrew Spielberg ,and Amir Zamir
Visual Intelligence and Learning Lab, EPFL, Lausanne, Switzerland
- Working on differentiable morphology for visual sensors
- 2022.04 - 2022.09
Multi-modal Dataset Collection for Autonomous Driving
Worked with Dengxin Dai
Vision for Autonomous Systems, Max Planck Institute for Informatics, Saarbrucken, Germany
- Collected multi-modal datasets with 2 RGB cameras, 2 event cameras, 2 LiDARs, 1 GNSS+INS System, and 1 Jetson Xavier
- Implemented the algorithms for calibration, synchronization, data collection, and post-processing
- Designed the electrical and mechanical structure for binding the sensors
- 2021.09 - 2022.03
Learning Deep Sensorimotor Policies for Vision-based Drone Racing
Worked with Yunlong Song, Yan Wu, Fisher Yu, Davide Scaramuzza
Robotics and Perception Group, University of Zurich, Zurich, Switzerland
- Developed a deep sensorimotor policy with Learning-by-Cheating for vision-based drone racing
- Enhanced the robustness of the vision-based policy with contrastive learning and data augmentation
- Conducted flight experiments in a realistic simulator and achieved state-of-the-art performance
- 2021.03 - 2021.07
Computational Morphology for ANYmal-on-Wheels
Worked with Marko Bjelonic, Joonho Lee, Marco Hutter
Robotic Systems Lab, ETH Zurich, Zurich, Switzerland
- Developed the joint optimization framework for both morphology and control of ANYmal-on-Wheels
- Used Bayesian Optimization to learn morphology and Reinforcement Learning to optimize control
- Conducted experiments in a realistic simulator and reduced the energy consumption during locomotion on rough terrains
Work
- 2022.04 - 2022.09
Research Intern
Advised by Prof. Dengxin Dai
Topic: Multi-modal Dataset Collection for Autonomous Driving
Vision for Autonomous Systems, Max Planck Institute for Informatics, Saarbrucken, Germany
- Collected multi-modal datasets with 2 RGB cameras, 2 event cameras, 2 LiDARs, 1 GNSS+INS System, and 1 Jetson Xavier
- Implemented the algorithms for calibration, synchronization, data collection, and post-processing
- Designed the electrical and mechanical structure for binding the sensors
- 2021.09 - 2022.03
Student Intern
Advised by Prof. Davide Scaramuzza
Topic: Learning Deep Sensorimotor Policies for Vision-based Drone Racing
Robotics and Perception Group, University of Zurich, Zurich, Switzerland
- Developed a deep sensorimotor policy with Learning-by-Cheating for vision-based drone racing
- Enhanced the robustness of the vision-based policy with contrastive learning and data augmentation
- Conducted flight experiments in a realistic simulator and achieved state-of-the-art performance
Education
-
2020.09 - now Master of Science in Robotics, Systems, and Control
ETH Zurich, Zurich, Switzerland
Area: Robotics and Computer Vision
GPA: 5.74/6.00
-
2023.01 - now Exchange Student in Computer and Communication Sciences
EPFL, Lausanne, Switzerland
Area: Computer Vision
GPA: 6.00/6.00
-
2016.09 - 2020.07 Bachelor of Engineering in Mechanical Engineering (Elite Program)
Tsinghua University, Beijing, China
Area: Mechanical Engineering
GPA: 3.81/4.00 (1/18)
-
2019.01 - 2019.05 Exchange Student in Mechanical Engineering
National University of Singapore , Singapore, Singapore
Area: Mechanical Engineering
GPA: 5.00/5.00
Awards
- 2020.07.01
Outstanding Graduate in Beijing
Ministry of Education of the People's Republic of China
- 2020.07.01
Excellent Graduate in Tsinghua University
Tsinghua University
- 2019.12.01
Comprehensive Excellence Award (top 1%)
Tsinghua University
- 2019.12.01
XCMG Scholarship (top 1%)
Tsinghua University
- 2018.12.01
Comprehensive Excellence Award (top 1%)
Tsinghua University
- 2018.12.01
Energy and Science Scholarship (top 1%)
Tsinghua University
- 2018.05.01
- 2017.12.01
Comprehensive Excellence Award (top 1%)
Tsinghua University
- 2017.12.01
National Scholarship (top 1%)
Ministry of Education of the People's Republic of China
- 2017.12.01
1st Prize in the 34th Regional Physics Contest for University Students
Chinese Physical Society
Skills
Programming Language | |
Python | |
C++ | |
C | |
MATLAB |
Framework | |
PyTorch | |
TensorFlow | |
ROS | |
CMake |
Simulator | |
Habitat | |
Flightmare | |
RaiSim | |
Isaac Sim |
Developer Tool | |
Docker | |
Singularity | |
Git |
Hardware | |
Jetson | |
RGBD Camera | |
LiDAR | |
GPS |
Languages
Chinese | |
Native speaker |
English | |
Fluent |
German | |
Basic |