News

Accepted our paper to ECCV2024
The following paper has been accepted to the ECCV2024. Shoma Iwai, Atsuki Osanai, Shunsuke Kitada, and Shinichiro Omachi. “Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model”.
Jul 4, 2024 News
Published our technical map at SSII2024
Our team provided and published the following technical map at SSII2024 session. 🌐 https://bit.ly/ssii2024-techmap-creative-design-map 📃 https://bit.ly/ssii2024-techmap-creative-design-sheet See this post for more details.
Last updated on Aug 4, 2024 News
Accepted our paper to PM4LRS workshop at ICLR2024
The following paper has been accepted at Practical ML for Low Resource Settings Workshop (PM4LRS) @ ICLR 2024. Sota Nemoto, Shunsuke Kitada, and Hitoshi Iyatomi. “Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition”
Last updated on May 13, 2024 News
Published a special issue of doctoral dissertation in Journal of JSAI
A special issue of Journal of JSAI on doctoral dissertations, including a summary of my dissertation, is now available: https://www.jstage.jst.go.jp/article/jjsai/39/1/39_50/_article/-char/ja/
Last updated on Jan 8, 2024 News
Successfully Defended my Ph.D. Dissertation
I am thrilled to announce that I have successfully defended my PhD on March 24, 2023. The journey that began in the Intelligent Information Processing Lab has been nothing short of remarkable and exhilarating.
Last updated on Oct 9, 2023 News
Got Hosei University Research Grant 2022
Got Hosei University Research Grant for Doctoral Course Adopters in 2022 (480,000 JPY).
Last updated on Jan 29, 2023 News, Awards & Grants
Accepted our journal paper to IEEE Access
The following paper has been accepted to the IEEE Access. Shunsuke Kitada, Yuki Iwazaki, Riku Togashi, and Hitoshi Iyatomi. “DM$^2$S$^2$: Deep Multi-Modal Sequence Sets with Hierarchical Modality Attention”
Last updated on Jan 29, 2023 News
Accepted our journal paper to Springer Applied Intelligence journal
The following paper has been accepted to the Springer Applied Intelligence. Shunsuke Kitada and Hitoshi Iyatomi. “Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training”
Last updated on Jan 29, 2023 News
Accepted our paper to IEEE HONET2022
The following paper has been accepted to the IEEE HONET2022. Ohata Kazuya, Shunsuke Kitada and Hitoshi Iyatomi. “Feedback is Needed for Retakes: An Explainable Poor Image Notification Framework for the Visually Impaired”
Last updated on Jan 29, 2023 News
Accepted our paper to ACM CIKM2022
The following paper has been accepted to the ACM CIKM2022. Tsubasa Nakagawa, Shunsuke Kitada, and Hitoshi Iyatomi. “Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents”
Last updated on Jan 29, 2023 News