Shiho Noda and Atsuki Sato won the best graduation thesis award in the department of Information and Communication Engineering.
- Shiho Noda, 汎用な Computer Vision モデルを利用可能な知覚的損失に基づく深層画像圧縮
- Atsuki Sato, 動的計画法の効率化によるPartitioned Learned Bloom Filter の高速構築


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Outstanding graduation thesis award
2023/03/23
VR center published "Metaverse lounge"
2023/03/28
"Metaberse lounge" was published as aproject supported by the VR center, of which Prof Aizawa is the director.
IEICE IE award
2023/03/23
Koki Tsubota received the IE award for his paper(汎用な真相画像圧縮のための適応手法の検討、坪田、相澤) presented at the IEICE Image Engineering Conference in February.
IWAIT 2023 Keynote talk 2023.1.10
2023/01/27
Yoko Yamakaya, associate Professor, gave a Keynote Talk titled "Food Computing for Human and Planet Health" at IWAT2023.
IEEE ACCESS
2023/01/05
The following paper was accepted to IEEE ACCESS.
”Comprehensive Comparisons of Uniform Quantization in Deep Image Compression", K. Tsubota, K. Aizawa.
”Comprehensive Comparisons of Uniform Quantization in Deep Image Compression", K. Tsubota, K. Aizawa.
WACV2023
2022/10/30
The following two papers were accepted to WACV2023.
- K. Tsubota, H. Akutsu, K. Aizawa, Universal Deep Image Compression via Content-Adaptive Optimization with Adapters
- A. Miyai, Q. Yu, D. Ikami, G. Irie, Kiyoharu Aizawa, Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation
- K. Tsubota, H. Akutsu, K. Aizawa, Universal Deep Image Compression via Content-Adaptive Optimization with Adapters
- A. Miyai, Q. Yu, D. Ikami, G. Irie, Kiyoharu Aizawa, Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation
BMVC2022
2022/10/10
The following paper was accepted to BMVC2022.
Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa, "Non-uniform Sampling Strategies for NeRF on 360° images"
Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa, "Non-uniform Sampling Strategies for NeRF on 360° images"