NEWS お知らせ

過去のお知らせ

  • 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)

  • 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)

  • 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)

  • 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)

  • 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)

  • 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)

  • 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)

  • 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)

  • Skill level classification using motion data via spatial temporal graph convolutional network

    Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
    2023 IEEE 12th Global Conference on Consumer Electronics (GCCE 2023)

  • Novel feature extraction for classification of auditory-visual stimuli from fNIRS signals

    Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    2023 IEEE 12th Global Conference on Consumer Electronics (GCCE 2023)

  • Improving visual counterfactual explanation models for image classification via CLIP

    Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    2023 IEEE 12th Global Conference on Consumer Electronics (GCCE 2023)

  • Deterioration level estimation for infrastructures considering noisy labels via dividemix

    Masaki Kashiwagi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
    2023 IEEE 12th Global Conference on Consumer Electronics (GCCE 2023)

  • Caption unification for multiple viewpoint lifelogging images and its verification

    Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
    2023 IEEE 12th Global Conference on Consumer Electronics (GCCE 2023)

  • Text-to-image diffusion model suppressing catastrophic forgetting via elastic weight consolidation

    Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    2023 IEEE 12th Global Conference on Consumer Electronics (GCCE 2023)

  • Multi-view variational recurrent neural network for human emotion recognition using multi-modal biological signals

    Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    2023 IEEE International Conference on Image Processing (ICIP 2023)