kaiwkh@bu.edu
I am a third year PhD candidate in the department of Computer Science at Boston University and my advisor is Margrit Betke. I obtained my Master of Science degree in CS at BU in 2020. I am generally interested in topics that seek to minimize human efforts in supervision among various computer vision tasks via domain adaptive approaches, espcially learning from synthetic data.
Wang K*, Kim D*, Saenko K, Betke M, Sclaroff S, A Unified Framework for Domain Adaptive Pose Estimation, 22 pages, ECCV 2022, Code
Kim D, Wang K, Sclaroff S, Saenko K, A Broad Study of Pre-training for Domain Generalization and Adaptation, 22 pages, ECCV 2022, Code
Wang K, Akash K, Teruhisa M. Learning Temporally and Semantically Consistent Unpaired Video-to-video Translation Through Pseudo-Supervision From Generated Optical Flow, 13 pages, AAAI 2022, Code
Wang K, Yang C, Betke M. Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation, 9 pages, AAAI 2021, Code
Yang C, Ablavsky V, Wang K, et al. Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes, 17 pages, ECCV 2020, Code
Wang K*, Jalal M*, Jefferson S, et al. Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types[C], Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, 10 pages, ACM 2019, Code
2020 Fall: CS440 Artificial Intelligence
2021 Fall: CS506 Computational Tools for Data Science
2022 Spring: CS542 Machine Learning