PhD Student

Kuniaki joined Image and video computing group in 2018. He is a Ph.D student advised by Prof. Kate Saenko. Kuniaki received a Master degree from the University of Tokyo. He worked on domain adaptation with Prof. Tatsuya Harada and Dr. Yoshitaka Ushiku. His research interest focuses on computer vision and machine learning. Specifically, he worked on domain adaptation, semi-supervised learning, and multi-modal learning such as VQA in my master program. Currently, he is working on domain adaptation for visual application.

Selected Publications

CVPR2019 “Strong-Weak Distribution Alignment for Adaptive Object Detection “,Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada and Kate Saenko

ECCV2018 “Open Set Domain Adaptation by Backpropagation“,Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku and Tatsuya Harada

CVPR2018 (oral) “Maximum Classifier Discrepancy for Unsupervised Domain Adaptation”,Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku and Tatsuya Harada

ICLR2018 “Adversarial Dropout Regularization”,Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada and Kate Saenko

ICML2017 “Asymmetric Tri-training for Unsupervised Domain Adaptation”,Kuniaki Saito, Yoshitaka Ushiku and Tatsuya Harada

Website

http://cs-people.bu.edu/keisaito/