| Context-aware biaffine localizing network for temporal sentence grounding D Liu, X Qu, J Dong, P Zhou, Y Cheng, W Wei, Z Xu, Y Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 86 | 2021 |
| Jointly cross-and self-modal graph attention network for query-based moment localization D Liu, X Qu, XY Liu, J Dong, P Zhou, Z Xu Proceedings of the 28th ACM International Conference on Multimedia, 4070-4078, 2020 | 78 | 2020 |
| Mhp-vos: Multiple hypotheses propagation for video object segmentation S Xu, D Liu, L Bao, W Liu, P Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 46 | 2019 |
| SAANet: Siamese action-units attention network for improving dynamic facial expression recognition D Liu, X Ouyang, S Xu, P Zhou, K He, S Wen Neurocomputing 413, 145-157, 2020 | 40 | 2020 |
| Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos D Liu, X Qu, J Dong, P Zhou Proceedings of the Conference on Empirical Methods in Natural Language …, 2021 | 31 | 2021 |
| Memory-Guided Semantic Learning Network for Temporal Sentence Grounding D Liu, X Qu, X Di, Y Cheng, Z Xu, P Zhou Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 28 | 2022 |
| Unsupervised temporal video grounding with deep semantic clustering D Liu, X Qu, Y Wang, X Di, K Zou, Y Cheng, Z Xu, P Zhou Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 27 | 2022 |
| Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding D Liu, X Qu, P Zhou Proceedings of the Conference on Empirical Methods in Natural Language …, 2021 | 26 | 2021 |
| Video-based facial expression recognition using graph convolutional networks D Liu, H Zhang, P Zhou 2020 25th International Conference on Pattern Recognition (ICPR), 607-614, 2021 | 25 | 2021 |
| Reasoning step-by-step: Temporal sentence localization in videos via deep rectification-modulation network D Liu, X Qu, J Dong, P Zhou Proceedings of the 28th International Conference on Computational …, 2020 | 25 | 2020 |
| Exploring motion and appearance information for temporal sentence grounding D Liu, X Qu, P Zhou, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 22 | 2022 |
| F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation D Liu, D Yu, C Wang, P Zhou Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2109-2117, 2021 | 22 | 2021 |
| Reducing the vision and language bias for temporal sentence grounding D Liu, X Qu, W Hu Proceedings of the 30th ACM International Conference on Multimedia, 4092-4101, 2022 | 17 | 2022 |
| Skimming, locating, then perusing: A human-like framework for natural language video localization D Liu, W Hu Proceedings of the 30th ACM International Conference on Multimedia, 4536-4545, 2022 | 14 | 2022 |
| Imperceptible transfer attack and defense on 3d point cloud classification D Liu, W Hu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 14 | 2022 |
| Exploring optical-flow-guided motion and detection-based appearance for temporal sentence grounding D Liu, X Fang, W Hu, P Zhou IEEE Transactions on Multimedia, 2023 | 13 | 2023 |
| Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation D Liu, S Xu, XY Liu, Z Xu, W Wei, P Zhou Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2100-2108, 2021 | 11 | 2021 |
| A case study of healthcare platform using big data analytics and machine learning MDS Islam, D Liu, K Wang, P Zhou, L Yu, D Wu Proceedings of the 2019 3rd High Performance Computing and Cluster …, 2019 | 11 | 2019 |
| Hierarchical Local-Global Transformer for Temporal Sentence Grounding X Fang, D Liu, P Zhou, Z Xu, R Li arXiv preprint arXiv:2208.14882, 2022 | 7 | 2022 |
| Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks Q Hu, D Liu, W Hu European Conference on Computer Vision, 229–248, 2022 | 6 | 2022 |
Pan ZhouProfessor, School of Cyber Science and Engineering, Huazhong University and Science and Technology在 hust.edu.cn 的电子邮件经过验证
