| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Lin, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 2261 | 2017 |
| SNAS: stochastic neural architecture search S Xie, H Zheng, C Liu, L Lin International Conference on Representation Learning, 2018 | 1148 | 2018 |
| Is faster R-CNN doing well for pedestrian detection? L Zhang, L Lin, X Liang, K He Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1088 | 2016 |
| Joint detection and identification feature learning for person search T Xiao, S Li, B Wang, L Lin, X Wang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1066 | 2017 |
| Multi-level wavelet-CNN for image restoration P Liu, H Zhang, K Zhang, L Lin, W Zuo Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 908 | 2018 |
| Look into person: Joint body parsing & pose estimation network and a new benchmark X Liang, K Gong, X Shen, L Lin IEEE transactions on pattern analysis and machine intelligence 41 (4), 871-885, 2018 | 900* | 2018 |
| Unsupervised image super-resolution using cycle-in-cycle generative adversarial networks Y Yuan, S Liu, J Zhang, Y Zhang, C Dong, L Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 897 | 2018 |
| Cost-effective active learning for deep image classification K Wang, D Zhang, Y Li, R Zhang, L Lin IEEE Transactions on Circuits and Systems for Video Technology 27 (12), 2591 …, 2016 | 877 | 2016 |
| Deep feature learning with relative distance comparison for person re-identification S Ding, L Lin, G Wang, H Chao Pattern Recognition 48 (10), 2993-3003, 2015 | 807 | 2015 |
| Larger norm more transferable: An adaptive feature norm approach for unsupervised domain adaptation R Xu, G Li, J Yang, L Lin Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 629 | 2019 |
| Meta r-cnn: Towards general solver for instance-level low-shot learning X Yan, Z Chen, A Xu, X Wang, X Liang, L Lin Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 602 | 2019 |
| Bit-scalable deep hashing with regularized similarity learning for image retrieval and person re-identification R Zhang, L Lin, R Zhang, W Zuo, L Zhang IEEE Transactions on Image Processing 24 (12), 4766-4779, 2015 | 568 | 2015 |
| Joint learning of single-image and cross-image representations for person re-identification F Wang, W Zuo, L Lin, D Zhang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 515 | 2016 |
| Deep cocktail network: Multi-source unsupervised domain adaptation with category shift R Xu, Z Chen, W Zuo, J Yan, L Lin Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 503 | 2018 |
| Toward characteristic-preserving image-based virtual try-on network B Wang, H Zheng, X Liang, Y Chen, L Lin, M Yang Proceedings of the European conference on computer vision (ECCV), 589-604, 2018 | 472 | 2018 |
| Semantic object parsing with graph lstm X Liang, X Shen, J Feng, L Lin, S Yan Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 452 | 2016 |
| Knowledge-embedded routing network for scene graph generation T Chen, W Yu, R Chen, L Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 451 | 2019 |
| I2t: Image parsing to text description BZ Yao, X Yang, L Lin, MW Lee, SC Zhu Proceedings of the IEEE 98 (8), 1485-1508, 2010 | 422 | 2010 |
| Instance-level human parsing via part grouping network K Gong, X Liang, Y Li, Y Chen, M Yang, L Lin Proceedings of the European conference on computer vision (ECCV), 770-785, 2018 | 404 | 2018 |
| Clothes co-parsing via joint image segmentation and labeling with application to clothing retrieval X Liang, L Lin, W Yang, P Luo, J Huang, S Yan IEEE Transactions on Multimedia 18 (6), 1175-1186, 2016 | 396* | 2016 |
Xiaodan LiangAssociate Professor, Sun Yat-sen University, MBZUAI, CMU, NUSOverená e-mailová adresa na: mail2.sysu.edu.cn
