Multi-attention fusion network for video-based emotion recognition Y Wang, J Wu, K Hoashi 2019 International Conference on Multimodal Interaction, 595-601, 2019 | 36 | 2019 |
Advanced multi-instance learning method with multi-features engineering and conservative optimization for engagement intensity prediction J Wu, B Yang, Y Wang, G Hattori Proceedings of the 2020 International Conference on Multimodal Interaction …, 2020 | 34 | 2020 |
Vqa-gnn: Reasoning with multimodal semantic graph for visual question answering Y Wang, M Yasunaga, H Ren, S Wada, J Leskovec arXiv preprint arXiv:2205.11501, 2022 | 32 | 2022 |
Vqa-gnn: Reasoning with multimodal knowledge via graph neural networks for visual question answering Y Wang, M Yasunaga, H Ren, S Wada, J Leskovec Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 26 | 2023 |
Implicit knowledge injectable cross attention audiovisual model for group emotion recognition Y Wang, J Wu, P Heracleous, S Wada, R Kimura, S Kurihara Proceedings of the 2020 international conference on multimodal interaction …, 2020 | 26 | 2020 |
Multi-scale convolutional recurrent neural network with ensemble method for weakly labeled sound event detection Y Guo, M Xu, J Wu, Y Wang, K Hoashi the Detection and Classification of Acoustic Scenes and Events (DCASE 2018 …, 2018 | 19 | 2018 |
VAE-based adversarial multimodal domain transfer for video-level sentiment analysis Y Wang, J Wu, K Furumai, S Wada, S Kurihara IEEE Access 10, 51315-51324, 2022 | 15 | 2022 |
Do i have your attention: A large scale engagement prediction dataset and baselines M Singh, X Hoque, D Zeng, Y Wang, K Ikeda, A Dhall Proceedings of the 25th International Conference on Multimodal Interaction …, 2023 | 14 | 2023 |
Multi-feature and multi-instance learning with anti-overfitting strategy for engagement intensity prediction J Wu, Z Zhou, Y Wang, Y Li, X Xu, Y Uchida 2019 International Conference on Multimodal Interaction, 582-588, 2019 | 14 | 2019 |
Lightweight deep convolutional neural networks for facial expression recognition Y Wang, J Wu, K Hoashi 2019 IEEE 21st International Workshop on Multimedia Signal Processing (MMSP …, 2019 | 10 | 2019 |
Emotiw 2023: Emotion recognition in the wild challenge A Dhall, M Singh, R Goecke, T Gedeon, D Zeng, Y Wang, K Ikeda Proceedings of the 25th International Conference on Multimodal Interaction …, 2023 | 8 | 2023 |
Videoadviser: Video knowledge distillation for multimodal transfer learning Y Wang, D Zeng, S Wada, S Kurihara IEEE Access 11, 51229-51240, 2023 | 6 | 2023 |
Complete cross-triplet loss in label space for audio-visual cross-modal retrieval D Zeng, Y Wang, J Wu, K Ikeda 2022 IEEE International Symposium on Multimedia (ISM), 1-9, 2022 | 5 | 2022 |
Ldnn: Linguistic knowledge injectable deep neural network for group cohesiveness understanding Y Wang, J Wu, J Huang, G Hattori, Y Takishima, S Wada, R Kimura, ... Proceedings of the 2020 International Conference on Multimodal Interaction …, 2020 | 4 | 2020 |
携帯端末を用いたミーティング定量評価システムの構築 宇佐美格, 王亜楠, 高橋淳二, 斉藤裕樹, 戸辺義人 情報処理学会論文誌 57 (2), 553-561, 2016 | 4 | 2016 |
TimeGraphs: Graph-based Temporal Reasoning P Maheshwari, H Ren, Y Wang, R Sosic, J Leskovec arXiv preprint arXiv:2401.03134, 2024 | 2 | 2024 |
対話シナリオにおけるキャラクタ性に応じた名詞への自動置換方式の提案と評価 田原俊一, 池田和史, 王亜楠, 帆足啓一郎 第 81 回全国大会講演論文集 2019 (1), 15-16, 2019 | 2 | 2019 |
Multi-object event graph representation learning for Video Question Answering Y Wang, S Haruta, D Zeng, J Vizcarra, M Kurokawa arXiv preprint arXiv:2409.07747, 2024 | 1 | 2024 |
Anchor-aware Deep Metric Learning for Audio-visual Retrieval D Zeng, Y Wang, K Ikeda, Y Yu Proceedings of the 2024 International Conference on Multimedia Retrieval …, 2024 | 1 | 2024 |
Efficient Diverse Response Generation in Attention-based Neural Conversational Model with Maximum Mutual Information Y Kisida, T Kato, Y Wang, J Wu, G Hattori 2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020 | 1 | 2020 |