| 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 | 2951 | 2017 |
| SNAS: stochastic neural architecture search S Xie, H Zheng, C Liu, L Lin International Conference on Representation Learning, 2018 | 1380 | 2018 |
| Multi-level wavelet-CNN for image restoration P Liu, H Zhang, K Zhang, L Lin, W Zuo 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2018 | 1326 | 2018 |
| Joint detection and identification feature learning for person search T Xiao, S Li, B Wang, L Lin, X Wang 2017 IEEE conference on computer vision and pattern recognition (CVPR), 3376 …, 2017 | 1207 | 2017 |
| 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 | 1114 | 2016 |
| 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 | 1055 | 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 | 1036 | 2016 |
| 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 | 1001* | 2018 |
| Meta r-cnn: Towards general solver for instance-level low-shot learning X Yan, Z Chen, A Xu, X Wang, X Liang, L Lin 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 9576-9585, 2019 | 907 | 2019 |
| 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 | 828 | 2015 |
| Larger norm more transferable: An adaptive feature norm approach for unsupervised domain adaptation R Xu, G Li, J Yang, L Lin 2019 IEEE/CVF international conference on computer vision (ICCV), 1426-1435, 2019 | 768 | 2019 |
| Toward characteristic-preserving image-based virtual try-on network B Wang, H Zheng, X Liang, Y Chen, L Lin, M Yang European conference on computer vision, 607-623, 2018 | 678 | 2018 |
| Deep cocktail network: Multi-source unsupervised domain adaptation with category shift R Xu, Z Chen, W Zuo, J Yan, L Lin 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 3964-3973, 2018 | 631 | 2018 |
| Knowledge-embedded routing network for scene graph generation T Chen, W Yu, R Chen, L Lin 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2019 | 578 | 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 | 571 | 2015 |
| Aligning cyber space with physical world: A comprehensive survey on embodied ai Y Liu, W Chen, Y Bai, X Liang, G Li, W Gao, L Lin IEEE/ASME Transactions on Mechatronics, 2025 | 534 | 2025 |
| Component divide-and-conquer for real-world image super-resolution P Wei, Z Xie, H Lu, Z Zhan, Q Ye, W Zuo, L Lin European conference on computer vision, 101-117, 2020 | 523 | 2020 |
| 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 | 516 | 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 | 496 | 2016 |
| Instance-level human parsing via part grouping network K Gong, X Liang, Y Li, Y Chen, M Yang, L Lin European conference on computer vision, 805-822, 2018 | 480 | 2018 |
Guanbin Li (李冠彬)Professor, School of Computer Science and Engineering, Sun Yat-Sen University, ChinaVerified email at mail.sysu.edu.cn
