Works at Berkeley DeepDrive
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Worked as a core oraganizer of BDD100K, a dataset with 10 visual perception tasks in the context of autonomous driving. Worked with annotation vendors, compiled the datasets, and led multitask learning experiments and benchmarks. Also organized the challenges in CVPR Workshop on Autonomous Driving 2019 and 2020. Paper accepted as an Oral presentation in CVPR 2020.
Scalabel: A Versatile and Scalable Annotation Tool
Worked as a core developer of Scalabel, a web-based collaborative annotation platform for various 2D and 3D tasks for visual perception aimed for democratizing and accelerating data labeling. Accepted as a demo in ECCV 2018.