| See more, know more: Unsupervised video object segmentation with co-attention siamese networks X Lu, W Wang, C Ma, J Shen, L Shao, F Porikli Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 528 | 2019 |
| Zero-shot video object segmentation via attentive graph neural networks W Wang, X Lu, J Shen, DJ Crandall, L Shao Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 304 | 2019 |
| Video object segmentation with episodic graph memory networks X Lu, W Wang, M Danelljan, T Zhou, J Shen, L Van Gool Proceedings of the European conference on computer vision (ECCV) 2020, 2020 | 281 | 2020 |
| Human-aware motion deblurring Z Shen, W Wang, X Lu, J Shen, H Ling, T Xu, L Shao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 278 | 2019 |
| Deep regression tracking with shrinkage loss X Lu, C Ma, B Ni, X Yang, I Reid, MH Yang Proceedings of the European conference on computer vision (ECCV), 353-369, 2018 | 258 | 2018 |
| Learning video object segmentation from unlabeled videos X Lu, W Wang, J Shen, YW Tai, DJ Crandall, SCH Hoi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 162 | 2020 |
| Deep neural network based vehicle and pedestrian detection for autonomous driving: A survey L Chen, S Lin, X Lu, D Cao, H Wu, C Guo, C Liu, FY Wang IEEE Transactions on Intelligent Transportation Systems 22 (6), 3234-3246, 2021 | 157 | 2021 |
| Zero-shot video object segmentation with co-attention siamese networks X Lu, W Wang, J Shen, D Crandall, J Luo IEEE transactions on pattern analysis and machine intelligence 44 (4), 2228-2242, 2020 | 143 | 2020 |
| Distilled siamese networks for visual tracking J Shen, Y Liu, X Dong, X Lu, FS Khan, S Hoi IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 8896 …, 2021 | 134* | 2021 |
| Segmenting objects from relational visual data X Lu, W Wang, J Shen, DJ Crandall, L Van Gool IEEE transactions on pattern analysis and machine intelligence 44 (11), 7885 …, 2021 | 116 | 2021 |
| Paying attention to video object pattern understanding W Wang, J Shen, X Lu, SCH Hoi, H Ling IEEE transactions on pattern analysis and machine intelligence 43 (7), 2413-2428, 2020 | 112 | 2020 |
| Adaptive region proposal with channel regularization for robust object tracking X Lu, C Ma, B Ni, X Yang IEEE transactions on circuits and systems for video technology 31 (4), 1268-1282, 2019 | 84 | 2019 |
| Deep object tracking with shrinkage loss X Lu, C Ma, J Shen, X Yang, I Reid, MH Yang IEEE transactions on pattern analysis and machine intelligence 44 (5), 2386-2401, 2020 | 75 | 2020 |
| Cubenet: X-shape connection for camouflaged object detection M Zhuge, X Lu, Y Guo, Z Cai, S Chen Pattern Recognition 127, 108644, 2022 | 56 | 2022 |
| Learning driving models from parallel end-to-end driving data set L Chen, Q Wang, X Lu, D Cao, FY Wang Proceedings of the IEEE 108 (2), 262-273, 2019 | 52 | 2019 |
| Coarse-to-fine video instance segmentation with factorized conditional appearance flows Z Qin, X Lu, X Nie, D Liu, Y Yin, W Wang IEEE/CAA Journal of Automatica Sinica 10 (5), 1192-1208, 2023 | 51 | 2023 |
| Video object segmentation using global and instance embedding learning W Ge, X Lu, J Shen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 48 | 2021 |
| Self-filtering: A noise-aware sample selection for label noise with confidence penalization Q Wei, H Sun, X Lu, Y Yin European Conference on Computer Vision, 516-532, 2022 | 36 | 2022 |
| Safe-student for safe deep semi-supervised learning with unseen-class unlabeled data R He, Z Han, X Lu, Y Yin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 36 | 2022 |
| : Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients T Zhou, H Fu, Y Zhang, C Zhang, X Lu, J Shen, L Shao Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 35 | 2020 |
Wenguan WangZhejiang University在 zju.edu.cn 的电子邮件经过验证
