DEEP eye contact detector: Robust eye contact bid detection using convolutional neural network. - Yu Mitsuzumi; Atsushi Nakazawa; Toyoaki Nishida (BMVC, 2017)

Eye Contact Detection Algorithms Using Deep Learning and Generative Adversarial Networks. - Yu Mitsuzumi; Atsushi Nakazawa (SMC, 2018)

Spatio-temporal eye contact detection combining CNN and LSTM. - Yuki Watanabe; Atsushi Nakazawa; Yu Mitsuzumi; Toyoaki Nishida (MVA, 2019)

A Generative Self-Ensemble Approach To Simulated+Unsupervised Learning. - Yu Mitsuzumi; Go Irie; Akisato Kimura; Atsushi Nakazawa (ICIP, 2020)

First-person Video Analysis for Evaluating Skill Level in the Humanitude Tender-Care Technique. - Atsushi Nakazawa; Yu Mitsuzumi; Yuki Watanabe; Ryo Kurazume; Sakiko Yoshikawa; Miwako Honda (J. Intell. Robotic Syst., 2020)

Generalized Domain Adaptation. - Yu Mitsuzumi; Go Irie; Daiki Ikami; Takashi Shibata 001 (CVPR, 2021)

Learning with Selective Forgetting. - Takashi Shibata 001; Go Irie; Daiki Ikami; Yu Mitsuzumi (IJCAI, 2021)

Understanding and Improving Source-Free Domain Adaptation from a Theoretical Perspective. - Yu Mitsuzumi; Akisato Kimura; Hisashi Kashima (CVPR, 2024)

Cross-Action Cross-Subject Skeleton Action Recognition Via Simultaneous Action-Subject Learning With Two-Step Feature Removal. - Yu Mitsuzumi; Akisato Kimura; Go Irie; Atsushi Nakazawa (ICIP, 2024)

Phase Randomization: A data augmentation for domain adaptation in human action recognition. - Yu Mitsuzumi; Go Irie; Akisato Kimura; Atsushi Nakazawa (Pattern Recognit., 2024)