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 | 2942 | 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 | 828 | 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 | 770 | 2020 |
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 | 742 | 2013 |
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 | 498 | 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 | 487 | 2018 |
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 | 486 | 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 | 315 | 2013 |
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 | 246 | 2020 |
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 | 241 | 2022 |
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 | 238 | 2021 |
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 | 234 | 2020 |
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 | 233 | 2019 |
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 | 210 | 2019 |
Saliency detection with multi-scale superpixels N Tong, H Lu, L Zhang, X Ruan IEEE Signal Processing Letters 21 (9), 1035-1039, 2014 | 181 | 2014 |
Encoder fusion network with co-attention embedding for referring image segmentation G Feng, Z Hu, L Zhang, H Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 166 | 2021 |
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 | 166 | 2020 |
Combining motion and appearance cues for anomaly detection Y Zhang, H Lu, L Zhang, X Ruan Pattern Recognition 51, 443-452, 2016 | 158 | 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 | 147 | 2017 |
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 | 139 | 2016 |