| Balanced multimodal learning via on-the-fly gradient modulation X Peng, Y Wei, A Deng, D Wang, D Hu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 441 | 2022 |
| Deep multimodal clustering for unsupervised audiovisual learning D Hu, F Nie, X Li Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 288 | 2019 |
| Learning to answer questions in dynamic audio-visual scenarios G Li, Y Wei, Y Tian, C Xu, JR Wen, D Hu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 235 | 2022 |
| Multiple Sound Sources Localization from Coarse to Fine R Qian, D Hu, H Dinkel, M Wu, N Xu, W Lin arXiv preprint arXiv:2007.06355, 2020 | 223 | 2020 |
| Deep binary reconstruction for cross-modal hashing X Li, D Hu, F Nie Proceedings of the 25th ACM international conference on Multimedia, 1398-1406, 2017 | 206 | 2017 |
| Discriminative sounding objects localization via self-supervised audiovisual matching D Hu, R Qian, M Jiang, X Tan, S Wen, E Ding, W Lin, D Dou Advances in Neural Information Processing Systems 33, 10077-10087, 2020 | 178 | 2020 |
| Temporal multimodal learning in audiovisual speech recognition D Hu, X Li Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 140 | 2016 |
| Unsupervised multi-source domain adaptation for person re-identification Z Bai, Z Wang, J Wang, D Hu, E Ding Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 130 | 2021 |
| Cyclic co-learning of sounding object visual grounding and sound separation Y Tian, D Hu, C Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 114 | 2021 |
| Multimodal fusion on low-quality data: A comprehensive survey Q Zhang, Y Wei, Z Han, H Fu, X Peng, C Deng, Q Hu, C Xu, J Wen, D Hu, ... arXiv preprint arXiv:2404.18947, 2024 | 104 | 2024 |
| Learning in audio-visual context: A review, analysis, and new perspective Y Wei, D Hu, Y Tian, X Li arXiv preprint arXiv:2208.09579, 2022 | 101 | 2022 |
| Large graph hashing with spectral rotation X Li, D Hu, F Nie Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 69 | 2017 |
| Enhancing multimodal cooperation via sample-level modality valuation Y Wei, R Feng, Z Wang, D Hu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 68 | 2024 |
| Temporal relational modeling with self-supervision for action segmentation D Wang, D Hu, X Li, D Dou Proceedings of the AAAI conference on artificial intelligence 35 (4), 2729-2737, 2021 | 67 | 2021 |
| Self-supervised audiovisual representation learning for remote sensing data K Heidler, L Mou, D Hu, P Jin, G Li, C Gan, JR Wen, XX Zhu International Journal of Applied Earth Observation and Geoinformation 116 …, 2023 | 63 | 2023 |
| Mmpareto: Boosting multimodal learning with innocent unimodal assistance Y Wei, D Hu arXiv preprint arXiv:2405.17730, 2024 | 60 | 2024 |
| Mmcosine: Multi-modal cosine loss towards balanced audio-visual fine-grained learning R Xu, R Feng, SX Zhang, D Hu ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 60 | 2023 |
| Dense multimodal fusion for hierarchically joint representation D Hu, C Wang, F Nie, X Li ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 55 | 2019 |
| Progressive spatio-temporal perception for audio-visual question answering G Li, W Hou, D Hu Proceedings of the 31st ACM international conference on multimedia, 7808-7816, 2023 | 54 | 2023 |
| Class-aware sounding objects localization via audiovisual correspondence D Hu, Y Wei, R Qian, W Lin, R Song, JR Wen IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9844 …, 2021 | 51 | 2021 |
Yake WeiRenmin University of ChinaVerified email at ruc.edu.cn
