Yun Chen
PhD Candidate / Researcher
About Me
I am a CS PhD candidate at the University of Toronto advised by Prof. Raquel Urtasun, and a Senior Researcher at waabi.ai.
My research interests lie at the intersection of computer vision, neural rendering, and autonomous driving. I am passionate about finding simple, elegant solutions to challenging problems.
Beyond academia, I am an advocate of Unix philosophy, a Linux enthusiast, and the author of the bestselling PyTorch book.
There should be one – and preferably only one – obvious way to do it. Although that way may not be obvious at first.
Research
Spotlight talk at Wild3D workshop
Experience
Working closely with Prof. Raquel Urtasun and Prof. Shenlong Wang on 3D simulation.
- 3D Reconstruction with large-scale weakly-labelled data in the wild
- Photorealistic Image Simulation with Geometry-Aware Composition for Self-Driving
Working closely with Ming Liang and Bin Yang in ATG R&D for 3D Perception tasks.
- Depth Completion: Densify LiDAR with image guidance, SOTA in KITTI
- 3D Perception: 3D detection, tracking with multi-sensor. New SOTA in KITTI
- Map structure learning with graph neural network. New SOTA in Argoverse motion forecasting
Working on Medical Imaging in Machine Intelligence Group led by Dr. Xian-Sheng Hua
- Developed 3D R-CNN for CT/MRI, faster and more accurate than radiologist.
- Explored weakly-supervised learning with limited labels and active learning for efficient labelling.
