Atsuyuki Miyai 宮井淳行

Latest News

2025.1: 🎉 Our JMMMU (Japanese MMMU) has been accepted by NAACL2025!

2025.1: 🎉 Our GL-MCM finally has been accepted by IJCV!

2024.10: 🎉 We introduce JMMMU (Japanese MMMU)! Let's try your favorite LMM with our JMMMU!

2024.8: 🎉 Our new survey "Generalized OOD detection v2", has been out!

2024.7: I will give an invited talk on LoCoOp at MIRU2024 (Most prestigious Japanese CV conf.). 是非、オーラル/ポスター会場にお越しください!

Publications

*: Equal Contributions; ✝: My Advisee

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models

Shiho Noda ✝, Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

arXiv, 2025

paper code
JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark

Shota Onohara ✝*, Atsuyuki Miyai*, Yuki Imajuku*, Kazuki Egashira*, Jeonghun Baek*, Xiang Yue, Graham Neubig, Kiyoharu Aizawa

NAACL (main), 2025

NeurIPS EvalEval Workshop Oral Presentation, 2024 (preliminary version)

paper project dataset code leaderboard
GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection

Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

International Journal of Computer Vision (IJCV), 2025

paper code
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey

Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li, Hai Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa

arXiv, 2024

paper code
Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models
Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa
arXiv, 2024

ICLR Workshop on Reliable and Responsible Foundation Models, 2024 (preliminary version)

paper code dataset leaderboard
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?
Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
arXiv, 2023

paper code
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
Neural Information Processing Systems (NeurIPS), 2023

paper code
Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation
Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
Winter Conference on Applications of Computer Vision (WACV), 2023

paper code

Education

2024.4 - Present

The University of Tokyo

Ph.D. in Graduate School of Information Science and Technology

Supervisor: Prof. Toshihiko Yamasaki

2022.4 - 2024.3

The University of Tokyo

M.S. in Graduate School of Interdisciplinary Information Studies

Supervisor: Prof. Kiyoharu Aizawa

2018.4 - 2022.3

The University of Tokyo

B.S. in Under Graduate School of Engineering

Information and Communication Engineering

Supervisor: Prof. Kiyoharu Aizawa

Awards and Talks

2024.8: Invited Talk for LoCoOp @MIRU 2024
2024.3: The Dean's Award, The Best Master Thesis Award
2024.2: IE Award @IE (画像工学研究会) Feb. 2024
2023.7: Interactive Presentation Award @MIRU 2023
2022.7: Best Student Paper Award @MIRU 2022

Awarded The Best Student Paper Award by The Association for Meeting on Image Recognition and Understanding (Japanese representative scientific and professional society for researchers working on problems involving computer vision).

Please refer to the official homepage.
2022.3: Student Encouragement Award @Information Processing Society of Japan (IPSJ) 2022

Internship Experience

OMRON SINICX (2023.6 - 2023.12)

Research Internship

Mentors: Dr. Yoshitaka Ushiku, Dr. Atsushi Hashimoto, Dr. Kuniaki Saito

Preferred Networks (2022.8 - 2022.9)

Research Internship

Mentors: Dr. Masanori Koyama, Dr. Kohei Hayashi, Dr. Yuta Kikuchi, Dr. Yoshihiro Yamada

Pluszero Inc. (2020.10 - 2023.03)

Project Engineer

I tackle natural language processing.

Academic Activities

OpenOOD

2023.12 - Present

Research activities

Collaborators: Jingkang Yang (Nanyang Technological University), Jingyang Zhang (Duke University), Yifei Ming (Salesforce Research)

IEEE Student Branch Chair @UTokyo

2023.4 - Present

We have a diverse range of workshops, invited talks, and hands-on activities focused on advancing knowledge and skills in a particular field or topic.

Please feel free to contact us when you visit Tokyo!

Please refer to the official homepage.

Review Experience

CVPR2024-2025, MIRU2024 (Japanese), NeurIPS2024, IJCV2024-2025, AAAI2025, MMM2025, ICLR2025, ACMTOMM2025