| 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 | 1246 | 2017 |
| 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 | 924 | 2016 |
| SNAS: stochastic neural architecture search S Xie, H Zheng, C Liu, L Lin arXiv preprint arXiv:1812.09926, 2018 | 832 | 2018 |
| 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 | 801 | 2017 |
| 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 | 738 | 2015 |
| 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 | 645* | 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 | 595 | 2016 |
| 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 | 528 | 2018 |
| 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 | 518 | 2015 |
| 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 | 489 | 2018 |
| 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 | 436 | 2016 |
| 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 | 374 | 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 | 372 | 2010 |
| 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 | 363 | 2016 |
| 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 | 331* | 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 | 319 | 2018 |
| Human parsing with contextualized convolutional neural network X Liang, C Xu, X Shen, J Yang, S Liu, J Tang, L Lin, S Yan Proceedings of the IEEE international conference on computer vision, 1386-1394, 2015 | 301 | 2015 |
| 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 | 300 | 2019 |
| 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 | 281 | 2019 |
| Instance-level salient object segmentation G Li, Y Xie, L Lin, Y Yu Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 277 | 2017 |
Xiaodan LiangAssociate Professor, Sun Yat-sen University, CMU, NUSVerified email at mail2.sysu.edu.cn
