| Saliency detection via graph-based manifold ranking C Yang, L Zhang, H Lu, X Ruan, MH Yang Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 2813 | 2013 |
| Saliency detection via dense and sparse reconstruction X Li, H Lu, L Zhang, X Ruan, MH Yang Proceedings of the IEEE international conference on computer vision, 2976-2983, 2013 | 810 | 2013 |
| Saliency detection via absorbing markov chain B Jiang, L Zhang, H Lu, C Yang, MH Yang Proceedings of the IEEE international conference on computer vision, 1665-1672, 2013 | 722 | 2013 |
| Multi-scale interactive network for salient object detection Y Pang, X Zhao, L Zhang, H Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 666 | 2020 |
| A stagewise refinement model for detecting salient objects in images T Wang, A Borji, L Zhang, P Zhang, H Lu Proceedings of the IEEE international conference on computer vision, 4019-4028, 2017 | 483 | 2017 |
| Detect globally, refine locally: A novel approach to saliency detection T Wang, L Zhang, S Wang, H Lu, G Yang, X Ruan, A Borji Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 459 | 2018 |
| The draft genome of the grass carp (Ctenopharyngodon idellus) provides insights into its evolution and vegetarian adaptation Y Wang, Y Lu, Y Zhang, Z Ning, Y Li, Q Zhao, H Lu, R Huang, X Xia, ... Nature genetics 47 (6), 625-631, 2015 | 427 | 2015 |
| Suppress and balance: A simple gated network for salient object detection X Zhao, Y Pang, L Zhang, H Lu, L Zhang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 426 | 2020 |
| Graph-regularized saliency detection with convex-hull-based center prior C Yang, L Zhang, H Lu IEEE Signal Processing Letters 20 (7), 637-640, 2013 | 307 | 2013 |
| Joint learning of saliency detection and weakly supervised semantic segmentation Y Zeng, Y Zhuge, H Lu, L Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 219 | 2019 |
| Hierarchical dynamic filtering network for RGB-D salient object detection Y Pang, L Zhang, X Zhao, H Lu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 218 | 2020 |
| A single stream network for robust and real-time RGB-D salient object detection X Zhao, L Zhang, Y Pang, H Lu, L Zhang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 211 | 2020 |
| Multi-source weak supervision for saliency detection Y Zeng, Y Zhuge, H Lu, L Zhang, M Qian, Y Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 193 | 2019 |
| Saliency detection with multi-scale superpixels N Tong, H Lu, L Zhang, X Ruan IEEE Signal Processing Letters 21 (9), 1035-1039, 2014 | 177 | 2014 |
| Automatic polyp segmentation via multi-scale subtraction network X Zhao, L Zhang, H Lu Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 173 | 2021 |
| Combining motion and appearance cues for anomaly detection Y Zhang, H Lu, L Zhang, X Ruan Pattern Recognition 51, 443-452, 2016 | 155 | 2016 |
| Salient object detection via multiple instance learning F Huang, J Qi, H Lu, L Zhang, X Ruan IEEE Transactions on Image Processing 26 (4), 1911-1922, 2017 | 145 | 2017 |
| Zoom in and out: A mixed-scale triplet network for camouflaged object detection Y Pang, X Zhao, TZ Xiang, L Zhang, H Lu Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2022 | 139 | 2022 |
| Ranking saliency L Zhang, C Yang, H Lu, X Ruan, MH Yang IEEE transactions on pattern analysis and machine intelligence 39 (9), 1892-1904, 2016 | 136 | 2016 |
| Bi-directional relationship inferring network for referring image segmentation Z Hu, G Feng, J Sun, L Zhang, H Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 133 | 2020 |
