Koki Tsubota

Machine Learning Engineer (Apr. 2023 - present)
E-mail: tsubota (at) hal.t.u-tokyo.ac.jp

Research Interests

Computer Vision, Image Compression, Manga.

Education

Ph.D., (Apr. 2020 - Mar. 2023)

Department of Information and Communication Engineering,

Graduate School of Information Science and Technology,
The University of Tokyo.
Advisor: Prof. Kiyoharu Aizawa

M.S., (Apr. 2018 - Mar. 2020)

Department of Information and Communication Engineering,

Graduate School of Information Science and Technology,
The University of Tokyo.
Advisor: Prof. Kiyoharu Aizawa

B.E., (Apr. 2014 - Mar. 2018)

Department of Information and Communication Engineering,
The University of Tokyo.
Advisor: Prof. Kiyoharu Aizawa and Prof. Toshihiko Yamasaki

Publications

Journals

• Takahiro Naruko, Hiroaki Akutsu, Koki Tsubota, and Kiyoharu Aizawa
  Quality Enhancement of Conventional Compression with a Learned Side Bitstream
  IEICE Transactions on Information and Systems (Letter), vol. E106.D, Issue 8, pp. 1296-1299, 2023. [pdf]
• Koki Tsubota, and Kiyoharu Aizawa
  Comprehensive Comparisons of Uniform Quantization in Deep Image Compression
  IEEE Access, vol. 11, pp. 4455-4465, 2023. [pdf] [arXiv] [code]
• Koki Tsubota, Hiroaki Akutsu, and Kiyoharu Aizawa
  Evaluating the Stability of Deep Image Quality Assessment with Respect to Image Scaling
  IEICE Transactions on Information and Systems (Letter), vol. E105.D, Issue 10, pp. 1829-1833, 2022. [pdf] [arXiv]
• Kiyoharu Aizawa, Azuma Fujimoto, Atsushi Otsubo, Toru Ogawa, Yusuke Matsui, Koki Tsubota, and Hikaru Ikuta
  Building a Manga Dataset "Manga109" with Annotations for Multimedia Applications
  IEEE MultiMedia, vol. 27, no. 2, pp. 8-18, 2020. [pdf]

International conferences

• Jihun Kang, Daichi Horita, Koki Tsubota, and Kiyoharu Aizawa
  Restorable Visible and Infrared Image Fusion
  ICIP, pp. 1560-1564, Kuala Lumpur, 2023. [pdf]
• Koki Tsubota, Hiroaki Akutsu, and Kiyoharu Aizawa
  Universal Deep Image Compression via Content-Adaptive Optimization with Adapters
  WACV, pp. 2529-2538, Hawaii, 2023. [pdf] [arXiv] [code]
• Koki Tsubota and Kiyoharu Aizawa
  Comprehensive Comparisons of Uniform Quantizers for Deep Image Compression
  ICIP, pp. 2089-2093, Anchorage (Virtual), 2021. [pdf] [code]
• Keita Awane, Koki Tsubota, Hikaru Ikuta, Yusuke Matsui, Kiyoharu Aizawa, and Naohiro Yanase
  Improving the Quality of Illustrations: Transforming Amateur Illustrations to a Professional Standard
  ICIP, pp. 584-588, Anchorage (Virtual), 2021. [pdf]
• Akifumi Suzuki, Hiroaki Akutsu, Takahiro Naruko, Koki Tsubota, and Kiyoharu Aizawa
  Learned Image Compression With Super-Resolution Residual Modules and DISTS Optimization
  CVPRW, pp. 1906-1910, Virtual, 2021. [pdf]
• Haruka Aoki, Koki Tsubota, Hikaru Ikuta, and Kiyoharu Aizawa
  Few-Shot Font Generation with Deep Metric Learning
  ICPR, pp. 8539-8546, Milano (Virtual), 2020. [pdf] [arXiv]
• Koki Tsubota and Kiyoharu Aizawa
  Unsupervised Embedding Learning by Noisy Similarity Label Optimization
  VCIP (oral), pp. 247-250, Macau (Virtual), 2020. [pdf]
• Koki Tsubota, Daiki Ikami, and Kiyoharu Aizawa
  Synthesis of Screentone Patterns of Manga Characters
  IEEE ISM (short), pp. 212-215, San Diego, 2019. [pdf] [code]
• Koki Tsubota, Toru Ogawa, Toshihiko Yamasaki, and Kiyoharu Aizawa
  Adaptation of Manga Face Representation for Accurate Clustering
  SIGGRAPH Asia (poster), pp. 15:1-15:2, Tokyo, 2018. [pdf] [code]
• Rei Narita, Koki Tsubota, Toshihiko Yamasaki, and Kiyoharu Aizawa
  Sketch-Based Manga Retrieval Using Deep Features
  ICDAR Workshop on MANPU, pp. 49-53, Kyoto, 2017. [pdf]

Awards

• FY2022 IE Special Award (Best Award), Technical Committee on Image Engineering, Institute of Electronics, Information and Communication Engineers, 2023.

Invited Talks

• FY2022 IE Special Award Memorial Talk: A Study on Adaptation Methods for Universal Deep Image Compression, PCSJ/IMPS, 2023.

Others

• Jinjin Gu, et al.,
  NTIRE 2021 Challenge on Perceptual Image Quality Assessment
  CVPRW, 14 pages, 2021. [pdf] [arXiv]

Domestic conferences

• 26 papers

Misc

• Research fellowship for young scientists (DC2), Japan Society for the Promotion of Science (JSPS) (Apr. 2022 - Mar. 2023) [grant (Japanese)]
• Doctoral Student Special Incentives Program (IST-RA) (Apr. 2020 - Mar. 2022)
• Kaggle Expert
• Internship at Yahoo Japan Corporation (Aug. 2018, two weeks)
• Part-time job at priceless, Inc. (Apr. 2017 - Aug. 2018) and pluszero, Inc. (Sep. 2018 - Mar. 2022)

Links

Aizawa Yamakata Matsui Laboratory

Graduate School of Information Science and Technology

The University of Tokyo

pluszero

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