An article on the VR Center, of which Aizawa is the director, was introduced in the campus public relations.
https://www.u-tokyo.ac.jp/gen03/kouhou/1561/02features.html
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The University of Tokyo as Metaverse
2022/09/05
CEDEC session
2022/09/05
At CEDEC, we had a session titled "Reading Manga through Information Processing: The Challenge of Comic Engineering," in which five of us, including Aizawa and Matsui, presented on the topic.
https://xtech.nikkei.com/atcl/nxt/column/18/02167/00003/
https://xtech.nikkei.com/atcl/nxt/column/18/02167/00003/
IEEE ACCESS
2022/08/19
The following paper was accepted to IEEE ACCESS
Yuuki Sawabe, Satoshi Ikehata ,Kiyoharu Aizawa, Saliency-based Multiple Region of Interest Detection from a Single 360° image.
Yuuki Sawabe, Satoshi Ikehata ,Kiyoharu Aizawa, Saliency-based Multiple Region of Interest Detection from a Single 360° image.
ACM Multimedia 2022 Workshop
2022/08/08
The following 2 papers were accepted to ACM Multimedia Workshop.
- Akihisa Ishino, Yoko Yamakata, Kiyoharu Aizawa, Recipe Recording by Duplicating and Editing Standard Recipe.
- Kei Nakamoto, Sosuke Amano, Hiroaki Karasawa, Yoko Yamakata, Kiyoharu Aizawa, Prediction of Mental State from Food Images.
- Akihisa Ishino, Yoko Yamakata, Kiyoharu Aizawa, Recipe Recording by Duplicating and Editing Standard Recipe.
- Kei Nakamoto, Sosuke Amano, Hiroaki Karasawa, Yoko Yamakata, Kiyoharu Aizawa, Prediction of Mental State from Food Images.
MIRU2022 Award
2022/07/29
- MIRU Student Best Award: Atsuyuki Miyai,Qing Yu
Rethinking Rotation for Contrastive Learning: Adaptive Positive or Negative Data Augmentation, Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa
- MIRU Interactive Presentation Award: Jeonghun Baek
COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary Texts Jeonghun Baek, Yusuke Matsui, Kiyoharu Aizawa
- MIRU Student Encourgement Award: Qing Yu
Few-Shot Open-Set Domain Adaptation with Self-Labeling Framework, Qing Yu, Go Irie, Kiyoharu Aizawa
Rethinking Rotation for Contrastive Learning: Adaptive Positive or Negative Data Augmentation, Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa
- MIRU Interactive Presentation Award: Jeonghun Baek
COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary Texts Jeonghun Baek, Yusuke Matsui, Kiyoharu Aizawa
- MIRU Student Encourgement Award: Qing Yu
Few-Shot Open-Set Domain Adaptation with Self-Labeling Framework, Qing Yu, Go Irie, Kiyoharu Aizawa
MANPU2022
2022/07/06
The following paper was accepted to MANPU -International Workshop on coMics ANalysis, Processing and Understanding-.
Hikaru Ikuta, Runtian Yu, Yusuke Matsui and Kiyoharu Aizawa, Towards Content-Aware Pixel-Wise Comic Panel Segmentation
Hikaru Ikuta, Runtian Yu, Yusuke Matsui and Kiyoharu Aizawa, Towards Content-Aware Pixel-Wise Comic Panel Segmentation
ECCV2022
2022/07/06
The following paper was accepted to ECCV2022.
Jeonghun Baek, Yusuke Matsui, Kiyoharu Aizawa, COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts
Jeonghun Baek, Yusuke Matsui, Kiyoharu Aizawa, COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts