I am a Ph.D. student in the Bayesian and Neural Systems (BayesWatch) group at University of Edinburgh, advised by Dr. Elliot Crowley. My primary research topics are computer vision and deep learning. From May 2020 to Jan. 2021, I worked as a research intern in perception algorithms at TuSimple Inc., supervised by Dr. Naiyan Wang. I got my MSc degree in Computer Science from Boston University in May 2020. During my graduate study, I worked as a research assistant in the Image and Video Computing group, supervised by Prof. Margrit Betke and Dr. Vitaly Ablavsky. I got my BEng degree in Computer Science from the University of Science and Technology of China in 2018.
Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke. “Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes”, ECCV'2020
Kaihong Wang, Chenhongyi Yang, Margrit Betke. “Consistency Regularization with High-dimensional Non-adversarial Source- guided Perturbation for Unsupervised Domain Adaptation in Segmentation”, AAAI'2021
Chenhongyi Yang, Zehao Huang, Naiyan Wang. "QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection", arxiv preprint arXiv:2103.09136, 2021