過去のお知らせ
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RGMIM: region-guided masked image modeling for learning meaningful representations from X-ray images
Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
The 18th European Conference on Computer Vision (ECCV 2024) Workshops
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Motion-STUDiO : Motion style transfer utilized for dancing operation by considering both style and dance features
Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2024)
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Introducing class replacement technique in class incremental learning in generative models
Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2024)
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Discriminator-enhanced music generation based on multitrack music transformer
Jinlong Zhu, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama
2024 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2024)
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Graph convolutional network-based sports skill-level recognition via deep metric learning
Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2024 International Conference on Circuits, Systems, Computers and Communications (ITC-CSCC 2024)
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Zero-shot high-risk situation detection based on semantic segmentation and pose estimation using fixed-point cameras at construction sites
Taro Togo, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2024 International Conference on Circuits, Systems, Computers and Communications (ITC-CSCC 2024)
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Generative dataset distillation: balancing global structure and local details
Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024) Workshops
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Masked modeling-based action event prediction considering bidirectional time-series in soccer
Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Huang-Chia Shih, Miki Haseyama
International Workshop on Advanced Image Technology 2024 (IWAIT2024)
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Prompt-based personalized federated learning for medical visual question answering
He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama
2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024)
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Privacy preserving gaze estimation via federated learning adapted to egocentric video
Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024)
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Confidence-aware spatial-temporal attention graph convolutional network for skeleton-based expert-novice level classification
Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024)
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Enhancing noisy label learning via unsupervised contrastive loss with label correction based on prior knowledge
Masaki Kashiwagi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024)
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Caption unification for multi-view lifelogging images based on in-context learning with heterogeneous semantic contents
Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024)
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Multi-object editing in personalized text-to-image diffusion model via segmentation guidance
Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024)
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Real-world application of multimedia artificial intelligence and development of its sustainable improvement technology
Takahiro Ogawa
International Workshop on the New Frontiers in Convergence Science and Technology: The 26th HU-SNU Joint Symposium Satellite Session -
Visually guided binaural audio generation considering camera rotation
Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama
International Workshop on the New Frontiers in Convergence Science and Technology: The 26th HU-SNU Joint Symposium Satellite Session -
Estimating graph topology with smooth latent signals via Gaussian process
Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
International Workshop on the New Frontiers in Convergence Science and Technology: The 26th HU-SNU Joint Symposium Satellite Session -
Personalized content recommender system via non-verbal interaction using face mesh and facial expression
Yuya Moroto, Rintaro Yanagi, Naoki Ogawa, Kyohei Kamikawa, Keigo Sakurai, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
ACM International Conference on Multimedia 2023 (ACM MM 2023) -
Bundle detection based on graph convolutional network considering categorical hierarchical relationship
Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama
2023 IEEE 12th Global Conference on Consumer Electronics (GCCE 2023) -
A controllable recoloring method for novel views using segment anything model
Haoyang Wang, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023 IEEE 12th Global Conference on Consumer Electronics (GCCE 2023)