過去のお知らせ
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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
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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
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)