Atsuyuki Miyai 宮井 淳行

I'm Atsuyuki Miyai. Now, I'm a 1st-year PhD student of the Yamasaki Lab at The University of Tokyo 🇯🇵.

Before that, I received my master degree under the supervision of Prof. Kiyoharu Aizawa at UTokyo. With his retirement approaching, I have moved to the Yamasaki Lab, but I will continue collaborative research with the Aizawa Lab and tackle with the same research topic.

My research focuses on the safety of foundation models. In particular, I have contributed to the development of the field of Out-of-Distribution Detection for Vision Language Models (LoCoOp) and the evolution to Large Multi-modal Models (UPD).
I also aim to contribute to recent efforts for the hallucination issues and the development of multilingual LMMs (in a Japanese part), to help realize a future where many users can trust and comfortably use AI systems.

I want to put an emphasis on defining new problems and aim to provide a simple and baseline approach to give insights.


I am seeking internships in industry or academia in 2025, focusing on the trustworthy LMMs/LLMs. Do not hesitate to contact me if there's a good fit 🤝.

Email  /  Twitter  /  Github  /  Google Scholar  /  Semantic Scholar

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Education

The University of Tokyo
Ph.D. in Graduate School of Information Science and Technology
Supervisor: Prof. Toshihiko Yamasaki
2024.4 -

The University of Tokyo
M.S. in Graduate School of Interdisciplinary Information Studies
Supervisor: Prof. Kiyoharu Aizawa
2022.4 - 2024.3

The University of Tokyo
B.S. in Under Graduate School of Engineering
Information and Communication Engineering
Supervisor: Prof. Kiyoharu Aizawa
2018.4 - 2022.3

News

2024.10: 🎉 We introduce JMMMU (Japanese MMMU)! Lets'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!

2024.4: 🎉 Our new preprint, Unsolvable Problem Detection, has been out in arXiv!

2024.4: Doctoral program begins at the University of Tokyo.

Publications

International

2024

2023
  • Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?
    Atsuyuki Miyai, Qing Yu, Go Irie, and Kiyoharu Aizawa
    arXiv, 2023
    paper  /  code (comming soon)


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


  • Zero-Shot In-Distribution Detection in Multi-Object Settings Using Vision-Language Foundation Models
    Atsuyuki Miyai, Qing Yu, Go Irie, and Kiyoharu Aizawa
    arXiv, 2023
    paper  /  code

  • Rethinking Rotation in Self-Supervised Contrastive Learning:
    Adaptive Positive or Negative Data Augmentation

    Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, and Kiyoharu Aizawa
    Winter Conference on Applications of Computer Vision (WACV), 2023
    paper  /  code


Domestic (Japanese, Non-refereed)

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

2023.6 ~ 2023.12: OMRON SINICX
Research Internship.   Mentor: Dr. Yoshitaka Ushiku, Dr. Atsushi Hashimoto, Dr. Kuniaki Saito


2022.8 ~ 2022.9: Preferred Networks
Research Internship.   Mentor: Dr. Masanori Koyama, Dr. Kohei Hayashi, Dr. Yuta Kikuchi, Dr. Yoshihiro Yamada


2020.10 ~ 2023.03: Pluszero Inc.
Project Engineer.  I tackle natural language processing.

Academic Activities

2023.12 ~ : OpenOOD
Research activities.   Collaborators: Jingkang Yang (Nanyang Technological University), Jingyang Zhang (Duke University), Yifei Ming (Salesforce Research)


2023.4 ~ : IEEE Student Branch Chair @UTokyo
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, MIRU2024 (Japanese), NeurIPS2024, IJCV2024, AAAI2025, MMM2025, ICLR2025