Kazuki Adachi (足立 一樹)
Researcher at Computer and Data Science Laboratories, NTT / Ph.D. student at Graduate School of Engineering Schience, Yokohama National University.
Publications
International Conference / Journal (Peer-reviewed)
- Sekitoshi Kanai, Yasutoshi Ida, Kazuki Adachi, Mihiro Uchida, Tsukasa Yoshida, Shin’ya Yamaguchi. “Evaluating Time-Series Training Dataset through Lens of Spectrum in Deep State Space Models” Accepted to 2025 International Joint Conference on Neural Networks (IJCNN).
[Preprint] - Shin’ya Yamaguchi, Dewei Feng, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa. “Post-pre-training for Modality Alignment in Vision-Language Foundation Models” Accepted to 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[Preprint] - Kazuki Adachi, Shin’ya Yamaguchi, Atsutoshi Kumagai, Tomoki Hamagami. “Test-time Adaptation for Regression by Subspace Alignment” Accepted to 2025 International Conference on Learning Representations (ICLR).
[Paper] [Preprint] [Poster] [Code] [Press release (NTT)] - Taku Sasaki, Adam S. Walmsley, Kazuki Adachi, Shohei Enomoto, Shin’ya Yamaguchi. “Key Factors Determining the Required Number of Training Images in Person Re-Identification” IEEE Access, vol. 12, pp. 135135-135147, 2024, doi: 10.1109/ACCESS.2024.3461739.
[Paper] - Kazuki Adachi, Shohei Enomoto, Taku Sasaki, Shin’ya Yamaguchi. “Test-time Similarity Modification for Person Re-identification toward Temporal Distribution Shift” 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-8, doi: 10.1109/IJCNN60899.2024.10650113.
[Paper] [Preprint] [Poster] - Shohei Enomoto, Naoya Hasegawa, Kazuki Adachi, Taku Sasaki, Shin’ya Yamaguchi, Satoshi Suzuki, Takeharu Eda. “Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching” 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-8, doi: 10.1109/IJCNN60899.2024.10650964.
[Paper] [Preprint] - Shin’ya Yamaguchi, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa. “Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks” 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, 2024, pp. 23481-23490, doi: 10.1109/CVPR52733.2024.02216.
[Paper] [Preprint] [Topics (NTT)] - Kazuki Adachi, Shin’ya Yamaguchi, Atsutoshi Kumagai. “Covariance-aware Feature Alignment with Pre-computed Source Statistics for Test-time Adaptation to Multiple Image Corruptions” 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023, pp. 800-804, doi: 10.1109/ICIP49359.2023.10222901.
[Paper] [Preprint] [Poster] [Topics (NTT)] - Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi, Atsutoshi Kumagai, Yasuhiro Fujiwara. “Fast Regularized Discrete Optimal Transport With Group-Sparse Regularizers” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, no. 7, June 2023, pp. 7980-7, doi:10.1609/aaai.v37i7.25965.
[Paper] [Preprint] [Topics (NTT)] - Kazuki Adachi, Shin’ya Yamaguchi. “Learning Robust Convolutional Neural Networks with Relevant Feature Focusing Via Explanations” 2022 IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, 2022, pp. 1-6, doi: 10.1109/ICME52920.2022.9859838.
[Paper] [Preprint] - 足立 一樹, 濱上 知樹. “注目領域に基づいたCNNの特徴マップに対する正則化” 電子情報通信学会論文誌D, Vol.J102-D, No.3, pp. 185-193, Mar.2019. DOI: 10.14923/transinfj.2018PDP0023
[Paper]
Conference Workshop / Domestic Conference (Japan)
- Kazuki Adachi, Shin’ya Yamaguchi, Atsutoshi Kumagai. “Test-time Adaptation for Regression by Subspace Alignment” 1st Workshop on Test-time Adaptation (Community Track), CVPR2024 Workshop.
[Paper] [Poster] - Taku Sasaki, Kazuki Adachi, Shohei Enomoto, Yoshihiro Ikeda, Adam Walmsley, Shin’ya Yamaguchi. “Re-training-aware Automatic Model Evaluation for Person Re-identification” 画像の認識・理解シンポジウム (MIRU2023), IS2-77, 2023.
- 井田 安俊, 金井 関利, 足立 一樹, 熊谷 充敏, 藤原 靖宏. “グループ正則化付き離散最適輸送の高速化” 電子情報通信学会 情報論的学習理論と機械学習研究会(IBISML)研究会, 2023年6月.
[Paper] - 足立 一樹, 山口 真弥. “深層学習モデルの判断根拠を利用した偏りを持つデータセットに対する精度向上” 電子情報通信学会 パターン認識・メディア理解(PRMU)研究会, 2021年3月. (2020年度PRMU研究奨励賞)
[Paper] - 足立 一樹, 中田 雅也, 濱上 知樹. “CNNの注目領域を利用した事前知識の組み込みによる正則化” 計測自動制御学会 第45回知能システムシンポジウム講演論文集, B2-1, 2018.
- 足立 一樹, 濱上 知樹. “CNNにおける事前知識を利用した学習方法の検討” 第28回インテリジェント・システム・シンポジウム(FAN2018), ST-18-095, 2018.
- 佐々木 勇人, 足立 一樹, 濱上 知樹, 山本 みずき, 竹島 徹平, 湯村 寧. “生殖医療支援を目的とした顕微鏡動画像における精子検出” 第16回情報科学技術フォーラム(FIT2017), CH-005, 2017.
[Paper] - 足立 一樹, 佐々木 勇人, 中田 雅也, 濱津 文哉, 濱上 知樹. “転移学習によるDeep Q-Networkの学習高速化に向けた検討” 情報処理学会 第79回全国大会講演論文集, 5M-09, 2017.
[Paper]
Other Publication / Preprint
- 足立 一樹, 内田 美尋. “ICIP2023参加報告” 映像情報メディア学会誌, 2024年3月号 (Vol.78 No.2)
Patent
- Kazuki Adachi, Shin’ya Yamaguchi, Shohei Enomoto, Taku Sasaki, Yoshihiro Ikeda. “MODEL ADAPTATION DEVICE, MODEL ADAPTATION METHOD, AND MODEL ADAPTATION PROGRAM (モデル適応装置、モデル適応方法、および、モデル適応プログラム)” PCT/JP2023/029364
[WO] - Taku Sasaki, Kazuki Adachi, Shin’ya Yamaguchi, Yoshihiro Ikeda, Shohei Enomoto. “PREDICTION DEVICE, PREDICTION METHOD, AND PREDICTION PROGRAM (予測装置、予測方法及び予測プログラム)” PCT/JP2023/024461
[WO] - Kazuki Adachi, Shin’ya Yamaguchi. “TRAINING DEVICE, TRAINING METHOD, AND TRAINING PROGRAM (学習装置、学習方法、および、学習プログラム)” WO2023/181222, 特許第7670230号
[WO] [JP] - Kazuki Adachi, Shin’ya Yamaguchi. “LEARNING DEVICE, LEARNING METHOD, AND LEARNING PROGRAM (学習装置、学習方法及び学習プログラム)” WO2022/176116, 特許第7613551号
[WO] [JP] - Kazuki Adachi, Tetsuya Shioda, Machiko Toyoda. “IMPORTANCE DEGREE CALCULATION DEVICE, IMPORTANCE DEGREE CALCULATION METHOD, AND IMPORTANCE DEGREE CALCULATION PROGRAM (重要度計算装置、重要度計算方法及び重要度計算プログラム)” WO2022/038722, 特許第7491382号
[WO] [JP] - Tetsuya Shioda, Machiko Toyoda, Kazuki Adachi, Masakuni Ishii. “VISUALIZATION DEVICE, VISUALIZATION METHOD, AND VISUALIZATION PROGRAM (可視化装置、可視化方法および可視化プログラム)” WO2022/038713, 特許第7464132号
[WO] [JP]
Activities
Reviewer
- ICML 2025
- ICLR 2025
- NeurIPS 2024 (top reviewer)
- CVPR 2024, 2025
- BMVC 2023
- TMLR (2025)
- IEEE Access (2024)
Lecture
- “実データ分析によるデータ価値化の取り組み ―AI活用の事例紹介―”, 東京理科大学 データサイエンス・AI概論, 2024年7月20日, 2024年12月21日
- “企業研究者の生活”, 横浜国立大学理工学部 大ゼミ, 2023年1月26日
Employment
- Apr. 2019 - present: Researcher at NTT Laboratories
Education
- Apr. 2024 - present: Ph.D. student
- Specialization in Information Systems, Department of Mathematics, Physics, Electrical Engineering and Computer Science, Graduate School of Engineering Schience, Yokohama National University, Kanagawa, Japan
- Apr. 2017 - Mar. 2019: Master of Engineering
- Department of Physics, Electrical and Computer Engineering, Graduate School of Engineering, Yokohama National University, Kanagawa, Japan
- Apr. 2013 - Mar. 2017: Bachelor of Engineering
- Department of Mathematics, Physics, Electrical Engineering and Computer Science, College of Engineering Science, Yokohama National Uniersity, Kanagawa, Japan