Tomoyuki Suzuki is a research scientist at CyberAgent, Inc. and a Ph.D student at Keio University. He engages himself in research on computer vision and machine learning. For details, please also refer to CV.
He is generally interested in computer vision and machine learning.
Especially, video understanding, image/video/multimodal representation learning and video decomposition.
Ph.D. student in Computer Science (2021.10 - present)
Keio University, Aoki lab.
Adviser:Prof. Yoshimitsu Aoki
M.S. in Computer Science and Electronic Engineering (2017.4 - 2019.3)
Keio University, Aoki lab.
Adviser:Prof. Yoshimitsu Aoki
B.S. in Electronics and Electrical Engineering (2013.4 - 2017.3)
Keio University, Aoki lab.
Adviser:Prof. Yoshimitsu Aoki
Tomoyuki Suzuki*, Hirokatsu Kataoka*, Yoshimitsu Aoki, Yutaka Satoh, “Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB”, CVPR 2018. (Acceptance rate 29.6%) [Paper] [Poster]
Tomoyuki Suzuki, Takahiro Itazuri, Kensho Hara, Hirokatsu Kataoka, “Learning Spatiotemporal 3D Convolution with Video Order Self-Supervision”, IEEE ECCV Workshop on Person In Context, 2018. [Paper]
Tomoyuki Suzuki, Munetaka Minoguchi, Ryota Suzuki, Akio Nakamura, Kenji Iwata, Yutaka Satoh, Hirokatsu Kataoka, “Semantic Change Detection”, IEEE ICARCV, 2018.
Kaori Abe, Munetaka Minoguchi, Teppei Suzuki, Tomoyuki Suzuki, Naofumi Akimoto, Yue Qiu, Ryota Suzuki, Kenji Iwata, Yutaka Satoh, Hirokatsu Kataoka, “Fashion Culture Database: Construction of Database for World-wide Fashion Analysis”, IEEE ICARCV 2018.
id: tomoyukun (Kaggle Expert)