Deep learning for person re-identification: A survey and outlook M Ye, J Shen, G Lin, T Xiang, L Shao, SCH Hoi IEEE transactions on pattern analysis and machine intelligence 44 (6), 2872-2893, 2021 | 1645 | 2021 |
Inf-net: Automatic covid-19 lung infection segmentation from ct images DP Fan, T Zhou, GP Ji, Y Zhou, G Chen, H Fu, J Shen, L Shao IEEE transactions on medical imaging 39 (8), 2626-2637, 2020 | 1132 | 2020 |
Pranet: Parallel reverse attention network for polyp segmentation DP Fan, GP Ji, T Zhou, G Chen, H Fu, J Shen, L Shao International conference on medical image computing and computer-assisted …, 2020 | 1078 | 2020 |
Saliency-aware geodesic video object segmentation W Wang, J Shen, F Porikli Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 997 | 2015 |
Salient object detection in the deep learning era: An in-depth survey W Wang, Q Lai, H Fu, J Shen, H Ling, R Yang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (6), 3239-3259, 2021 | 724 | 2021 |
Deep visual attention prediction W Wang, J Shen IEEE Transactions on Image Processing 27 (5), 2368-2378, 2017 | 679 | 2017 |
Video salient object detection via fully convolutional networks W Wang, J Shen, L Shao IEEE Transactions on Image Processing 27 (1), 38-49, 2017 | 666 | 2017 |
Learning human-object interactions by graph parsing neural networks S Qi, W Wang, B Jia, J Shen, SC Zhu Proceedings of the European conference on computer vision (ECCV), 401-417, 2018 | 614 | 2018 |
Salient object detection with pyramid attention and salient edges W Wang, S Zhao, J Shen, SCH Hoi, A Borji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 549 | 2019 |
Pyramid dilated deeper convlstm for video salient object detection H Song, W Wang, S Zhao, J Shen, KM Lam Proceedings of the European conference on computer vision (ECCV), 715-731, 2018 | 544 | 2018 |
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 | 537 | 2019 |
Revisiting video saliency prediction in the deep learning era W Wang, J Shen, J Xie, MM Cheng, H Ling, A Borji IEEE transactions on pattern analysis and machine intelligence 43 (1), 220-237, 2019 | 525* | 2019 |
Shifting more attention to video salient object detection DP Fan, W Wang, MM Cheng, J Shen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 505 | 2019 |
A deep network solution for attention and aesthetics aware photo cropping W Wang, J Shen, H Ling IEEE transactions on pattern analysis and machine intelligence 41 (7), 1531-1544, 2018 | 437* | 2018 |
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 | 424* | 2020 |
Consistent video saliency using local gradient flow optimization and global refinement W Wang, J Shen, L Shao IEEE Transactions on Image Processing 24 (11), 4185-4196, 2015 | 414 | 2015 |
Real-time superpixel segmentation by DBSCAN clustering algorithm J Shen, X Hao, Z Liang, Y Liu, W Wang, L Shao IEEE transactions on image processing 25 (12), 5933-5942, 2016 | 378 | 2016 |
Dynamic dual-attentive aggregation learning for visible-infrared person re-identification M Ye, J Shen, D J. Crandall, L Shao, J Luo Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 372 | 2020 |
Lazy random walks for superpixel segmentation J Shen, Y Du, W Wang, X Li IEEE Transactions on Image Processing 23 (4), 1451-1462, 2014 | 363 | 2014 |
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 | 355* | 2020 |