The paper "Statistical characteristics of comic panel viewing times" by H. Ikuta, L. Wöhler, and K. Aizawa was accepted to Scientific Reports (Springer Nature).
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Scientific Reports
2023/11
IEICE
2023/10
The paper "Content-Adaptive Optimization Framework for Universal Deep Image Compression" by Koki Tsubota and Kiyoharu Aizawa was accepted to IEICE Trans. Information and Systems.
ACM Multimedia Asia 2023
2023/10
The following two papers were accepted as long and short papers.
- Satayu Parinayok, Yoko Yamakata, Kiyoharu Aizawa, Open-Vocabulary Segmentation Approach for Transformer-Based Food Nutrient Estimation
- Liangyu Wang, Yoko Yamakata, Kiyoharu Aizawa, Automatic Dataset Creation from User-generated Recipes for Ingredient-centric Food Image Analysis
- Satayu Parinayok, Yoko Yamakata, Kiyoharu Aizawa, Open-Vocabulary Segmentation Approach for Transformer-Based Food Nutrient Estimation
- Liangyu Wang, Yoko Yamakata, Kiyoharu Aizawa, Automatic Dataset Creation from User-generated Recipes for Ingredient-centric Food Image Analysis
ICCV Workshop Best Paper Award
2023/10
The following paper received the Best Paper Award at the ICCV Workshop on Adversarial Robustness In the Real World (AROW).
Hiroki Azuma and Yusuke Matsui, Defense-Prefix for Preventing Typographic Attacks on CLIP
https://iccv23-arow.github.io/
Hiroki Azuma and Yusuke Matsui, Defense-Prefix for Preventing Typographic Attacks on CLIP
https://iccv23-arow.github.io/
IE Award
2023/09
The paper "汎用な深層画像圧縮のための適応手法の検討" by Koki Tsubota and Kiyoharu Aizawa, presented at IEICE Image Engineering Workshop, received the Best Paper Award 2022.
IEICE
2023/09
The paper "Negative Learning to Prevent Undesirable Misclassification" by Kazuki Egashira, Atsuyuki Miyai, Qing Yu, GO Irie, and Kiyoharu Aizawa was accepted to IEICE Trans. Information and Systems.
NeurIPS 2023
2023/09/22
The following two papers were accepted to NeurIPS.
- Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa, LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
- Atsuki Sato and Yusuke Matsui, Fast Partitioned Learned Bloom Filter
- Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa, LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
- Atsuki Sato and Yusuke Matsui, Fast Partitioned Learned Bloom Filter