Wen-Hsuan ChuI am a Robotics Ph.D. at Prof. Katerina Fragkiakdaki's lab, at Carnegie Mellon University. I'm interested in the application of Computer Vision to Robotics and Embodied AI, such as performing 2D and 3D tracking at different granularities such as objects, parts, and points, and how this information can be used for robot manipulation or the learning of dynamics models. Prior to this, I completed my M.S. at Carnegie Mellon University, in The Robotics Institute, advised by Prof. Kris Kitani, on machine learning and computer vision. Before this, I did a B.S. in Electrical Engineering at National Taiwan University. |
Zero-Shot Open-Vocabulary Tracking with Large Pretrained ModelsUnder Submission Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov, Achal Dave, Leonidas Guibas, Katerina Fragkiadaki project page paper |
Tracking Any Point in a Video with Region-Aware Point Trajectory TransformerUnder submission Wen-Hsuan Chu, Yizhou Zhao, Jie Li, Rares Ambrus, Adam W. Harley, Katerina Fragkiadaki |
Neural Batch Sampling with Reinforcement Learning for Semi-Supervised Anomaly DetectionECCV 2020 Wen-Hsuan Chu, Kris M. Kitani paper |
Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image ClassificatioCVPR 2019 Wen-Hsuan Chu, Yu-Jhe Li, Jing-Cheng Chang, Yu-Chiang Frank Wang paper |
Learning Semantics-Guided Visual Attention for Few-shot Image ClassificationICIP 2018 Wen-Hsuan Chu, Yu-Chiang Frank Wang paper |