| 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 | 3028 | 2013 |
| 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 |
| Amulet: Aggregating multi-level convolutional features for salient object detection P Zhang, D Wang, H Lu, H Wang, X Ruan Proceedings of the IEEE international conference on computer vision, 202-211, 2017 | 1007 | 2017 |
| 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 | 844 | 2013 |
| 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 |
| 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 | 498 | 2018 |
| Salient object detection via bootstrap learning N Tong, H Lu, X Ruan, MH Yang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 406 | 2015 |
| Sample-Specific SVM Learning for Person Re-identification Y Zhang, B Li, H Lu, A Irie, X Ruan | 224 | 2016 |
| 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, 2018 | 202 | 2018 |
| Visible-thermal UAV tracking: A large-scale benchmark and new baseline P Zhang, J Zhao, D Wang, H Lu, X Ruan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 189 | 2022 |
| 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 |
| Combining motion and appearance cues for anomaly detection Y Zhang, H Lu, L Zhang, X Ruan Pattern Recognition 51, 443-452, 2016 | 161 | 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 | 160 | 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 | 141 | 2016 |
| Salient object detection via global and local cues N Tong, H Lu, Y Zhang, X Ruan Pattern Recognition 48 (10), 3258-3267, 2015 | 136 | 2015 |
| Video anomaly detection based on locality sensitive hashing filters Y Zhang, H Lu, L Zhang, X Ruan, S Sakai Pattern Recognition 59, 302-311, 2016 | 119 | 2016 |
| Hand posture recognition using finger geometric feature L Liu, J Xing, H Ai, X Ruan Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 119 | 2012 |
| Dense and sparse reconstruction error based saliency descriptor H Lu, X Li, L Zhang, X Ruan, MH Yang IEEE Transactions on Image Processing 25 (4), 1592-1603, 2016 | 109 | 2016 |
| Self-supervised pretraining for RGB-D salient object detection X Zhao, Y Pang, L Zhang, H Lu, X Ruan Proceedings of the AAAI conference on artificial intelligence 36 (3), 3463-3471, 2022 | 78 | 2022 |
Huchuan Lu, IEEE FELLOWdalian university of technologyبريد إلكتروني تم التحقق منه على dlut.edu.cn
