Works at Berkeley DeepDrive
Scalabel: A Versatile and Scalable Annotation Tool
Core contributor for Scalabel; mainly focusing on 2D bounding box tracking, instance segmentation, and segmentation tracking annotations. Also attached various assistance models to the tool achieve human in-the-loop annotation. Accepted as a Demo in ECCV 2018.
Independent Research Projects
Works at Healthcare Robotics Lab
Towards Material Classification of Scenes Using Active Theomography
Pixel-wise classification of materials using thermal videos after applying a heat pulse. Designed and crafted the thermal sensing module, constructed the sensing model and trained state-of-the-art models. Accepted by IROS 2018.
A Model that Predicts Material Classification Performance of Thermal Tactile Sensing
Constructed a model for binary classification to predict material classification performance. Classified simulated data and real-world data collected by an 1-DOF robot to make comparison with the performance model.