| Is faster r-cnn doing well for pedestrian detection? L Zhang, L Lin, X Liang, K He European conference on computer vision, 443-457, 2016 | 465 | 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 | 443 | 2015 |
| 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 | 341 | 2015 |
| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 331 | 2017 |
| 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 | 279 | 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 | 267 | 2017 |
| 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 | 262 | 2010 |
| 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 | 179 | 2016 |
| Semantic object parsing with graph lstm X Liang, X Shen, J Feng, L Lin, S Yan European Conference on Computer Vision, 125-143, 2016 | 163 | 2016 |
| Look into person: Self-supervised structure-sensitive learning and a new benchmark for human parsing K Gong, X Liang, D Zhang, X Shen, L Lin Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 157 | 2017 |
| 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 | 151 | 2015 |
| Cross-based local multipoint filtering J Lu, K Shi, D Min, L Lin, MN Do 2012 IEEE Conference on Computer Vision and Pattern Recognition, 430-437, 2012 | 151 | 2012 |
| A stochastic graph grammar for compositional object representation and recognition L Lin, T Wu, J Porway, Z Xu Pattern Recognition 42 (7), 1297-1307, 2009 | 149 | 2009 |
| Proposal-free network for instance-level object segmentation X Liang, L Lin, Y Wei, X Shen, J Yang, S Yan IEEE transactions on pattern analysis and machine intelligence 40 (12), 2978 …, 2017 | 143 | 2017 |
| Deep Human Parsing with Active Template Regression X Liang, S Liu, X Shen, J Yang, L Liu, J Dong, L Lin, S Yan IEEE Transactions on Pattern Analysis and Machine Intelligence 37, 2402 - 2414, 2015 | 140 | 2015 |
| Detection of weak transient signals based on wavelet packet transform and manifold learning for rolling element bearing fault diagnosis Y Wang, G Xu, L Liang, K Jiang Mechanical Systems and Signal Processing 54, 259-276, 2015 | 132 | 2015 |
| Clothing co-parsing by joint image segmentation and labeling W Yang, P Luo, L Lin Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 123 | 2014 |
| Instance-level salient object segmentation G Li, Y Xie, L Lin, Y Yu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 119 | 2017 |
| Matching-cnn meets knn: Quasi-parametric human parsing S Liu, X Liang, L Liu, X Shen, J Yang, C Xu, L Lin, X Cao, S Yan Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 118 | 2015 |
| SNAS: stochastic neural architecture search S Xie, H Zheng, C Liu, L Lin arXiv preprint arXiv:1812.09926, 2018 | 117 | 2018 |
Xiaodan LiangAssociate Professor, Sun Yat-sen UniversityVerified email at mail2.sysu.edu.cn
