| C-mil: Continuation multiple instance learning for weakly supervised object detection F Wan, C Liu, W Ke, X Ji, J Jiao, Q Ye Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 281 | 2019 |
| Weakly-supervised action localization with expectation-maximization multi-instance learning Z Luo, D Guillory, B Shi, W Ke, F Wan, T Darrell, H Xu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 139 | 2020 |
| Multiple anchor learning for visual object detection W Ke, T Zhang, Z Huang, Q Ye, J Liu, D Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 123 | 2020 |
| A location-to-segmentation strategy for automatic exudate segmentation in colour retinal fundus images Q Liu, B Zou, J Chen, W Ke, K Yue, Z Chen, G Zhao Computerized medical imaging and graphics 55, 78-86, 2017 | 118 | 2017 |
| SRN: Side-output Residual Network for Object Symmetry Detection in the Wild W Ke, J Chen, J Jiao, G Zhao, Q Ye In IEEE Conference on Computer Vision and Pattern Recognition, 1068–1076, 2017 | 114 | 2017 |
| A novel laser vision sensor for weld line detection on wall-climbing robot L Zhang, W Ke, Q Ye, J Jiao Optics & Laser Technology 60, 69-79, 2014 | 69 | 2014 |
| Pedestrian detection with deep convolutional neural network X Chen, P Wei, W Ke, Q Ye, J Jiao Computer Vision-ACCV 2014 Workshops: Singapore, Singapore, November 1-2 …, 2015 | 66 | 2015 |
| Co-attentive lifting for infrared-visible person re-identification X Wei, D Li, X Hong, W Ke, Y Gong Proceedings of the 28th ACM international conference on multimedia, 1028-1037, 2020 | 55 | 2020 |
| Linear span network for object skeleton detection C Liu, W Ke, F Qin, Q Ye Proceedings of the European Conference on Computer Vision (ECCV), 133-148, 2018 | 44 | 2018 |
| Self-learning scene-specific pedestrian detectors using a progressive latent model Q Ye, T Zhang, W Ke, Q Qiu, J Chen, G Sapiro, B Zhang In IEEE Conference on Computer Vision and Pattern Recognition, 509-518, 2017 | 41 | 2017 |
| Leverage your local and global representations: A new self-supervised learning strategy T Zhang, C Qiu, W Ke, S Süsstrunk, M Salzmann Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 37 | 2022 |
| Error-aware density isomorphism reconstruction for unsupervised cross-domain crowd counting Y He, Z Ma, X Wei, X Hong, W Ke, Y Gong Proceedings of the AAAI conference on artificial intelligence 35 (2), 1540-1548, 2021 | 33 | 2021 |
| Improving object detection with inverted attention Z Huang, W Ke, D Huang 2020 IEEE winter conference on applications of computer vision (WACV), 1294-1302, 2020 | 31 | 2020 |
| CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation Z Zhang, Y Zhu, J Liu, X Liang, W Ke Advances in Neural Information Processing Systems, 2022 | 29 | 2022 |
| Rsrn: Rich side-output residual network for medial axis detection C Liu, W Ke, J Jiao, Q Ye Proceedings, ICCV Workshop on Detecting Symmetry in the Wild, Venice 6, 8, 2017 | 27 | 2017 |
| Identity-quantity harmonic multi-object tracking Y He, X Wei, X Hong, W Ke, Y Gong IEEE Transactions on Image Processing 31, 2201-2215, 2022 | 23 | 2022 |
| Spatiotemporal self-supervised learning for point clouds in the wild Y Wu, T Zhang, W Ke, S Süsstrunk, M Salzmann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| Pedestrian detection via pca filters based convolutional channel features W Ke, Y Zhang, P Wei, Q Ye, J Jiao 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 20 | 2015 |
| Automated lesion segmentation in fundus images with many-to-many reassembly of features Q Liu, H Liu, W Ke, Y Liang Pattern Recognition 136, 109191, 2023 | 19 | 2023 |
| An easy-to-hard learning strategy for within-image co-saliency detection S Song, H Yu, Z Miao, D Guo, W Ke, C Ma, S Wang Neurocomputing 358, 166-176, 2019 | 17 | 2019 |
Qixiang YeUniversity of Chinese Academy of Sciences, University of MarylandVerified email at ucas.ac.cn
