過去のお知らせ
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Dual-model weight selection and wasserstein knowledge distillation for medical image classification
Ayaka Tsutsumi, Guang Li, Ren Togo, Takahiro Ogawa, Satoshi Kondo, Miki Haseyama
The International Forum on Medical Imaging in Asia 2026 (IFMIA 2026) -
Adversarial perturbation shield: Preventing concept bleed-through in continual learning of personalized generative models
Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
The 40th AAAI Conference on Artificial Intelligence (AAAI-26) -
Hyperbolic dataset distillation
Wenyuan Li, Guang Li, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
The 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025) -
Context-aware image-to-music generation via bridging modalities through musical captions
Shilin Liu, Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa and Miki Haseyama
The 33rd ACM International Conference on Multimedia (ACM MM 2025) -
Hyperboloid GPLVM for discovering continuous hierarchies via nonparametric estimation
Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
The 28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025) -
Risk-aware utility re-ranking for financial asset recommendation
Keigo Sakurai, Takahiro Ogawa, Miki Haseyama, Anjyu Anan, Kei Nakagawa
The 19th ACM International Conference on Web Search and Data Mining (WSDM2026) -
MLLM-guided training-free spherical panorama generation from a single image
Yuki Katayama, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
SIGGRAPH Asia 2025 -
Lost in the interface: how structured UI complexity challenges large vision language models in games
Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
SIGGRAPH Asia 2025 -
LLM-in-the-Loop Descriptor Prompt Refinement for Dialogue-Based Big Five Personality Recognition
Ryo Takahashi, Naoki Saito, Keisuke Maeda, Yoshioka, Takeshi Konno, Takahiro Ogawa, Miki Haseyama
2026 IEEE International Conference on Consumer Technology – Pacific (ICCT-Pacific 2026) -
Corrosion detection through integration of multi-resolution semantic segmentation
Kenta Kubota, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025 International Conference on Circuits, Systems, Computers and Communications (ITC-CSCC 2025) -
Evaluation of effectiveness of adversarial defense model using only brain activity information
Tasuku Nakajima, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2025 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2025) -
Text detection for culvert engineering drawings based on data transformation and model fusion
Chang Wang, Chinami Fukui, Ziwen Lan, Guang Li, Akihiro Tamura, Tsuyoshi Hanada, Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
2025 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2025) -
Personalized visual emotion classification through discrete prompt tuning of large multimodal model
Ryo Takahashi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2025) -
Analysis of model merging for open-vocabulary models with parameter efficient fine-tuning leveraging distributed data
Kenta Kubota, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2025) -
Stabilizing self-consuming training loop on music generation based on music embeddings
Shilin Liu, Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa and Miki Haseyama
2025 IEEE International Conference on Consumer Electronics – Taiwan (ICCE-TW 2025) -
Efficient Fine-Tuning and Uncertainty-Aware Personalized Federated Learning for Medical Vision-Language Models
He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama
第28回 画像の認識・理解シンポジウム (MIRU2025) -
［特別講演］大規模マルチモーダルモデルの潜在表現を用いたインテリアコーディネート画像からのスタイル推定に関する一検討
山森諄也, 藤後廉, 山城輝久, 小川貴弘, 長谷山美紀
映像情報メディア学会技術報告 -
［特別講演］北海道大学における数理・データサイエンス教育プログラム
田中孝之, 長谷山美紀
映像情報メディア学会技術報告 -
［特別講演］北海道大学デジタルリスキリングプログラムの開発と運用 ～ Phase 2の総括およびPhase 3の現状 ～
鵜川久, 小川貴弘, 前田圭介, 櫻井慶悟, 水谷祐輔, 近藤勝俊, 長谷山美紀
映像情報メディア学会技術報告 -
［特別講演］北海道大学データ駆動型融合研究創発拠点（D-RED）および数理・データサイエンス教育研究センター（MDSC）における取組 ～ AI利活用研究の推進を軸としたデータ駆動型融合研究と課題解決に向けたデータサイエンス教育 ～
長谷山美紀, 水谷祐輔, 堀内浩水, 佐々木博之
映像情報メディア学会技術報告