| The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …, 2015 | 2308 | 2015 |
| Learning to detect salient objects with image-level supervision L Wang, H Lu, Y Wang, M Feng, D Wang, B Yin, X Ruan Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1398 | 2017 |
| Visual tracking with fully convolutional networks L Wang, W Ouyang, X Wang, H Lu Proceedings of the IEEE international conference on computer vision, 3119-3127, 2015 | 1270 | 2015 |
| The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 1001 | 2018 |
| Deep networks for saliency detection via local estimation and global search L Wang, H Lu, X Ruan, MH Yang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 824 | 2015 |
| Saliency detection with recurrent fully convolutional networks L Wang, L Wang, H Lu, P Zhang, X Ruan Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, the …, 2016 | 646 | 2016 |
| Deep visual tracking: Review and experimental comparison P Li, D Wang, L Wang, H Lu Pattern Recognition 76, 323-338, 2018 | 570 | 2018 |
| The eighth visual object tracking VOT2020 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 355 | 2020 |
| Stct: Sequentially training convolutional networks for visual tracking L Wang, W Ouyang, X Wang, H Lu Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 328 | 2016 |
| Structured siamese network for real-time visual tracking Y Zhang, L Wang, J Qi, D Wang, M Feng, H Lu Proceedings of the European conference on computer vision (ECCV), 351-366, 2018 | 318 | 2018 |
| Salient object detection with recurrent fully convolutional networks L Wang, L Wang, H Lu, P Zhang, X Ruan IEEE transactions on pattern analysis and machine intelligence 41 (7), 1734-1746, 2019 | 202 | 2019 |
| End-to-end image super-resolution via deep and shallow convolutional networks Y Wang, L Wang, H Wang, P Li IEEE Access 7, 31959-31970, 2019 | 178 | 2019 |
| Sdc-depth: Semantic divide-and-conquer network for monocular depth estimation L Wang, J Zhang, O Wang, Z Lin, H Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 156 | 2020 |
| Learning regression and verification networks for robust long-term tracking Y Zhang, L Wang, D Wang, J Qi, H Lu International Journal of Computer Vision 129 (9), 2536-2547, 2021 | 131 | 2021 |
| The tenth visual object tracking vot2022 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... European Conference on Computer Vision, 431-460, 2022 | 80 | 2022 |
| Deeplens: Shallow depth of field from a single image W Lijun, S Xiaohui, Z Jianming, W Oliver, H Chih-Yao, K Sarah, ... ACM Trans. Graph.(Proc. SIGGRAPH Asia) 37 (6), 6: 1-6: 11, 2018 | 79* | 2018 |
| Cliffnet for monocular depth estimation with hierarchical embedding loss L Wang, J Zhang, Y Wang, H Lu, X Ruan European Conference on Computer Vision, 316-331, 2020 | 68 | 2020 |
| You only infer once: Cross-modal meta-transfer for referring video object segmentation D Li, R Li, L Wang, Y Wang, J Qi, L Zhang, T Liu, Q Xu, H Lu Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1297-1305, 2022 | 56 | 2022 |
| Constrained superpixel tracking L Wang, H Lu, MH Yang IEEE transactions on cybernetics 48 (3), 1030-1041, 2017 | 49 | 2017 |
| Can scale-consistent monocular depth be learned in a self-supervised scale-invariant manner? L Wang, Y Wang, L Wang, Y Zhan, Y Wang, H Lu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 48 | 2021 |
Huchuan Lu, IEEE FELLOWdalian university of technologyZweryfikowany adres z dlut.edu.cn
