ACHIEVEMENTS 研究業績

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論文（学会誌）

文字領域検出および LMM によるスキャン図面の数値識別

福井 千菜美, 王 暢, 蘭 子文, 李 広, 田村 彰浩, 花田 剛志, 前田 圭介, 高橋 翔, 小川 貴弘, 長谷山 美紀

AI・データサイエンス論文集

GeoJapan fusion framework: A large multimodal model for regional remote sensing recognition

Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama

Remote Sensing

Linear structure analysis of embeddings for bias disparity reduction in collaborative filtering

Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

IEEE Transactions on Services Computing

Cross-domain multi-step thinking: Zero-shot fine-grained traffic sign recognition in the wild

Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama

Knowledge-Based Systems

Clarifying diagnostic scope and future perspectives in AI-assisted diagnosis of Helicobacter pylori infection

Guang Li, Katsuhiro Mabe, Miki Haseyama

Journal of Gastroenterology

点検調書作成支援のための生成 AI を用いた所見の自動生成 －クラスタ分析を通じた類似画像検索に基づく in-context learning の導入－

佐藤 雅也, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀

AI・データサイエンス論文集

データ拡張を用いたin-context learning導入による道路構造物の点検画像からの損傷程度分類

中島 佑, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀

AI・データサイエンス論文集

Analysis of model merging methods for continual updating of foundation models in distributed data settings

Kenta Kubota, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

Applied Sciences

Enhancing adversarial defense via brain activity integration without adversarial examples

Tasuku Nakajima, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

Sensors

Enhancing classification models with sophisticated counterfactual images

Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

IEEE Open Journal of Signal Processing

Enhancing generative class incremental learning performance with a model forgetting approachsdasasd

Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
IEEE Open Journal of Signal Processing

論文（国際会議）

Objectness similarity: Capturing object-level fidelity in 3D scene evaluation

Yuiko Uchida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

IEEE/CVF International Conference on Computer Vision (ICCV 2025) Workshops

Task-specific generative dataset distillation with difficulty-guided sampling

Mingzhuo Li, Guang Li, Jiafeng Mao, Linfeng Ye, Takahiro Ogawa, Miki Haseyama

IEEE/CVF International Conference on Computer Vision (ICCV 2025) Workshops

Stream voice diffusion: real-time image generation from speech

Hideo Kodama, Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama

2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025)

Enhancing medical dataset distillation based on classifier-guided diffusion model

Shuailin Du, Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025)

Similar image generation via human-like iterative prompt refinement with multimodal large language model

Taiyo Sato, Keisuke Maeda, Naoki Saito, Takahiro Ogawa, Miki Haseyama

2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025)

Patch-wise extension of EVA score for semi-supervised lung field segmentation

Taiyo Ikeido, Ren Togo, Takahiro Ogawa, Miki Haseyama

2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025)

Graph-based pass receiver prediction in soccer with consideration of passer’s body orientation

Riku Yoshida, Ryota Goka, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025)

Foul severity classification from multi-view soccer videos with attention and class characteristics

Kotone Mutsuna, Ryota Goka, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025)

Enhancing image classifier robustness via prompt-based counterfactual data-augmentation with intermediate transitions

Tomoya Mitsui, Ren Togo, Naoki Saito, Takahiro Ogawa, Miki Haseyama

2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025)

An investigation of data augmentation for image classification network based on graph convolution

Ryusei Mikami, Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025)

Rethinking continual learning with pre-trained models: knowledge-preserving approach

Makoto Misaizu, Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Rafal Rzepka, Toshihiko Itoh, Miki Haseyama

2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025)

SSM-based sequential recommendation considering short-term dependencies of time and adjacency

Keito Kozaki, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama

2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025)

Image-guided 360-degree scene generation with structural and visual consistency

Yuki Katayama, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2025 IEEE 14th Global Conference on Consumer Electronics (GCCE 2025)

Diversity-driven generative dataset distillation based on diffusion model with self-adaptive memory

Mingzhuo Li, Guang Li, Jiafeng Mao, Takahiro Ogawa, Miki Haseyama

2025 IEEE International Conference on Image Processing (ICIP 2025)

Out-of-distribution sample selection generated by diffusion model toward model generalization

Kaede Hayakawa, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

2025 IEEE International Conference on Image Processing (ICIP 2025)

Enhancing adversarial robustness of foundation models without data centralization

Koshiro Toishi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

2025 IEEE International Conference on Image Processing (ICIP 2025)

LLM is knowledge graph reasoner: LLM’s intuition-aware knowledge graph reasoning for cold-start sequential recommendation

Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama

European Conference on Information Retrieval (ECIR 2025)

Generative dataset distillation based on self-knowledge distillation

Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025)

Gradient-oriented clustered federated learning with efficient knowledge sharing in non-iid settings

Kenta Kubota, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025)

Triplet synthesis for enhancing composed image retrieval via counterfactual image generation

Kenta Uesugi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025)

Robust adversarial defense based on non-transferability of attack across foundation models

Koshiro Toishi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025)

Continual self-supervised learning considering medical domain knowledge in chest CT images

Ren Tasai, Guang Li, Ren Togo, Minghui Tang, Takaaki Yoshimura, Hiroyuki Sugimori, Kenji Hirata, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama

2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025)

論文（技術報告）

Robust adversarial defense against multiple attacks without data centralization

Koshiro Toishi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

第28回 画像の認識・理解シンポジウム (MIRU2025)

Adversarial perturbation to prevent concept bleed-through in continual learning of personalized generative models

Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

第28回 画像の認識・理解シンポジウム (MIRU2025)

Near-miss accident anticipation using video images on construction machinery

Ryota Goka, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

第28回 画像の認識・理解シンポジウム (MIRU2025)

Medical image classification based on dual model weight selection and self-knowledge distillation

Ayaka Tsutsumi, Guang Li, Ren Togo, Takahiro Ogawa, Satoshi Kondo, Miki Haseyama

第28回 画像の認識・理解シンポジウム (MIRU2025)

Privacy-aware domain incremental continual self-supervised learning for chest CT images

Ren Tasai, Guang Li, Ren Togo, Minghui Tang, Takaaki Yoshimura, Hiroyuki Sugimori, Kenji Hirata, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama

第28回 画像の認識・理解シンポジウム (MIRU2025)

Self-adaptive memory for diversity-driven dataset distillation using diffusion model

Mingzhuo Li, Guang Li, Jiafeng Mao, Takahiro Ogawa, Miki Haseyama

第28回 画像の認識・理解シンポジウム (MIRU2025)

データの大域構造を考慮した近傍埋め込み手法に基づく深層表現の可視化

渡部 航史, 前田 圭介, 小川 貴弘, 長谷山 美紀

第28回 画像の認識・理解シンポジウム (MIRU2025)

Novel-view acoustic synthesis based on audio point cloud optimization

Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama

第28回 画像の認識・理解シンポジウム (MIRU2025)

OOD reduction of generated image by diffusion model toward data augmentation

Kaede Hayakawa, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

第28回 画像の認識・理解シンポジウム (MIRU2025)

Enhancing image memorability in latent diffusion models

Ren Togo, Ryo Shichida, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

第28回 画像の認識・理解シンポジウム (MIRU2025)

An object-focused metric for 3D scene evaluation based on features of an object detection model

Yuiko Uchida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

第28回 画像の認識・理解シンポジウム (MIRU2025)

Leveraging counterfactuals for automatic composed image retrieval dataset generation with in-context learning

Kenta Uesugi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

第28回 画像の認識・理解シンポジウム (MIRU2025)

講演発表（学会）

物体追跡モデルとVideo-LLMの協調利用に基づくタイヤ点検の動作認識に関する検討

上川 恭平, 藤後 廉, 前田 圭介, 小川 貴弘, 長谷山 美紀

第39回 人工知能学会全国大会 (JSAI2025)

ゴム材料物性値に影響する工程・環境変数の因果推論に基づく動的解析に関する検討

張 華瀛, 藤後 廉, 前田 圭介, 小川 貴弘, 長谷山 美紀

第39回 人工知能学会全国大会 (JSAI2025)

共同研究者の選定支援に向けた深層距離学習による類似研究プロジェクトの検索に関する検討

斉藤 直輝, 水谷 祐輔, 小川 貴弘, 長谷山 美紀

第39回 人工知能学会全国大会 (JSAI2025)

学習データ生成による Composed Image Retrieval の高精度化に関する検討 — テキスト整形処理を用いた反実仮想画像生成モデルの導入 —

上杉 健大, 斉藤 直輝, 前田 圭介, 小川 貴弘, 長谷山 美紀

第39回 人工知能学会全国大会 (JSAI2025)

効用を考慮した行列分解に基づく株式推薦

櫻井 慶悟, 小川 貴弘, 長谷山 美紀, 阿南 晏樹, 中川 慧

第39回 人工知能学会全国大会 (JSAI2025)