| 3D human activity recognition with reconfigurable convolutional neural networks K Wang, X Wang, L Lin, M Wang, W Zuo Proceedings of the 22nd ACM international conference on Multimedia, 97-106, 2014 | 145 | 2014 |
| 3D human pose machines with self-supervised learning K Wang, L Lin, C Jiang, C Qian, P Wei IEEE transactions on pattern analysis and machine intelligence 42 (5), 1069-1082, 2019 | 106 | 2019 |
| 3D human pose machines with self-supervised learning K Wang, L Lin, C Jiang, C Qian, P Wei IEEE transactions on pattern analysis and machine intelligence 42 (5), 1069-1082, 2019 | 252* | 2019 |
| 3D structure inference by integrating segmentation and reconstruction from a single image L Lin, K Zeng, Y Wang, W Hu IET Computer Vision 2 (1), 15-22, 2008 | 4 | 2008 |
| A deep joint learning approach for age invariant face verification Y Li, G Wang, L Lin, H Chang Computer Vision: CCF Chinese Conference, CCCV 2015, Xi'an, China, September …, 2015 | 30 | 2015 |
| A deep structured model with radius–margin bound for 3D human activity recognition L Lin, K Wang, W Zuo, M Wang, J Luo, L Zhang International Journal of Computer Vision 118, 256-273, 2016 | 134 | 2016 |
| A Hamiltonian Monte Carlo method for probabilistic adversarial attack and learning H Wang, G Li, X Liu, L Lin IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (4), 1725-1737, 2020 | 21 | 2020 |
| A Near-Optimal Gradient Flow for Learning Neural Energy-Based Models Y Wu, P Wei, L Lin arXiv preprint arXiv:1910.14216, 2019 | | 2019 |
| A Prior Guided Wavelet-Spatial Dual Attention Transformer Framework for Heavy Rain Image Restoration R Zhang, J Yu, J Chen, G Li, L Lin, D Wang IEEE Transactions on Multimedia, 2024 | | 2024 |
| A retrospect to multi-prompt learning across vision and language Z Chen, X Huang, Q Guan, L Lin, W Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| 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 | 199* | 2009 |
| A Stochastic Image Grammar for Fine-Grained 3D Scene Reconstruction. X Liu, Y Mu, L Lin IJCAI, 3425-3431, 2016 | 4 | 2016 |
| Accelerating Massively Distributed Deep Learning Through Efficient Pseudo-Synchronous Update Method Y Wen, Z Qiu, D Zhang, D Huang, N Xiao, L Lin International Journal of Parallel Programming 52 (3), 125-146, 2024 | | 2024 |
| Accelerating numerical solvers for large-scale simulation of dynamical system via NeurVec Z Huang, S Liang, H Zhang, H Yang, L Lin arXiv preprint arXiv:2208.03680, 2022 | 5 | 2022 |
| Accurate semantic image labeling by fast geodesic propagation X Chen, D Zhao, Y Zhao, L Lin 2009 16th IEEE International Conference on Image Processing (ICIP), 4021-4024, 2009 | 8 | 2009 |
| Actional atomic-concept learning for demystifying vision-language navigation B Lin, Y Zhu, X Liang, L Lin, J Liu Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1568-1576, 2023 | 1 | 2023 |
| Active Object Search J Wu, T Chen, L Huang, H Wu, G Li, L Tian, L Lin Proceedings of the 28th ACM International Conference on Multimedia, 973-981, 2020 | 1 | 2020 |
| Active self-paced learning for cost-effective and progressive face identification L Lin, K Wang, D Meng, W Zuo, L Zhang IEEE transactions on pattern analysis and machine intelligence 40 (1), 7-19, 2018 | 176 | 2018 |
| Active three-dimensional scene information acquisition method based on dimensionality-reduced sparse representation C Chongyu, L Lin US Patent 11,474,222, 2022 | | 2022 |
| Adapting object size variance and class imbalance for semi-supervised object detection Y Nie, C Fang, L Cheng, L Lin, G Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1966-1974, 2023 | 9 | 2023 |
Xiaodan LiangAssociate Professor, Sun Yat-sen University, MBZUAI, CMU, NUS在 mail2.sysu.edu.cn 的电子邮件经过验证
