Atsuyuki Miyai 宮井 淳行

I'm Atsuyuki Miyai. Now, I'm a 2nd-year master's student at The University of Tokyo. I'm a member of Aizawa Yamakata Matsui Lab , where I work on computer vision and machine learning.
My supervisor is Prof. Kiyoharu Aizawa.
My research collaborators are Dr. Qing Yu (LINE CV lab.) and Prof. Go Irie (Tokyo Univ. of Science).

Especially, my research fields are as follows:

self-supervised learning, vision-language model, out-of-distribution detection

Email  /  Github  /  Google Scholar

The University of Tokyo
M.S. in Graduate School of Interdisciplinary Information Studies
2022.4 - present

The University of Tokyo
B.S. in Under Graduate School of Engineering
Information and Communication Engineering
2018.4 - 2022.3

Preprint

2023

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




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

2023

• 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, Daiki Ikami, Go Irie, Kiyoharu Aizawa
  Winter Conference on Applications of Computer Vision (WACV), 2023
  paper  /  code

• CLIP-based In-distribution Detection
  Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
  MIRU, 2023 (short oral)
  
  
• Rethinking Rotation for Contrastive Learning: Adaptive Positive or Negative Data Augmentation
  Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa
  MIRU, 2022 (long oral), Best Student Paper
  
  
• 自己教師あり学習のための適応的正負例データ拡張
  宮井 淳行, 郁 青, 伊神大貴, 入江 豪, 相澤 清晴
  IPSJ (情報処理学会), 2022, Student Encouragement Award
  

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

2023.6 ~ : 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.

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.