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 | 146 | 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 | 128 | 2020 |
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 | 69 | 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 | 62 | 2019 |
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 | 52 | 2022 |
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 | 50 | 2021 |
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 | 49 | 2022 |
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 | 48 | 2021 |
Imperceptible transfer attack and defense on 3d point cloud classification D Liu, W Hu IEEE transactions on pattern analysis and machine intelligence 45 (4), 4727-4746, 2022 | 45 | 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 | 41 | 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 | 40 | 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 | 40 | 2021 |
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 | 39 | 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 | 34 | 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 25, 8539-8553, 2023 | 33 | 2023 |
Multi-modal cross-domain alignment network for video moment retrieval X Fang, D Liu, P Zhou, Y Hu IEEE Transactions on Multimedia 25, 7517-7532, 2022 | 31 | 2022 |
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 | 31 | 2020 |
You can ground earlier than see: An effective and efficient pipeline for temporal sentence grounding in compressed videos X Fang, D Liu, P Zhou, G Nan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 29 | 2023 |
Hierarchical local-global transformer for temporal sentence grounding X Fang, D Liu, P Zhou, Z Xu, R Li IEEE Transactions on Multimedia, 2022 | 28 | 2022 |
Density-insensitive unsupervised domain adaption on 3d object detection Q Hu, D Liu, W Hu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 25 | 2023 |