| 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 | 857 | 2016 |
| PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence K Wang, L Lin, J Lu, C Li, K Shi IEEE Trans. Image Process. 24 (10), 3019-3033, 2015 | 206* | 2015 |
| Flow Guided Recurrent Neural Encoder for Video Salient Object Detection G Li, Y Xie, T Wei, K Wang, L Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 196 | 2018 |
| 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, 2017 | 187 | 2017 |
| 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 | 149 | 2014 |
| Recurrent 3d pose sequence machines M Lin, L Lin, X Liang, K Wang, H Cheng Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on …, 2017 | 140 | 2017 |
| 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 (IJCV) 118 (2), 256-273, 2015 | 139 | 2015 |
| TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning Y Liu, K Wang, L Liu, H Lan, L Lin IEEE Transactions on Image Processing, 2022 | 134 | 2022 |
| Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection K Wang, X Yan, D Zhang, L Zhang, L Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 127 | 2018 |
| 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 | 112 | 2019 |
| Semantics-aware adaptive knowledge distillation for sensor-to-vision action recognition Y Liu, K Wang, G Li, L Lin IEEE Transactions on Image Processing 30, 5573-5588, 2021 | 102 | 2021 |
| Solving inefficiency of self-supervised representation learning G Wang, K Wang, G Wang, PHS Torr, L Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 72 | 2021 |
| Adaptively connected neural networks G Wang, K Wang, L Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 71 | 2019 |
| Structure-Preserving Image Super-Resolution via Contextualized Multitask Learning Y Shi, K Wang, C Chen, L Xu, L Lin IEEE Transactions on Multimedia 19 (12), 2804-2815, 2017 | 57 | 2017 |
| CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models AR Akula, K Wang, C Liu, S Saba-Sadiya, H Lu, S Todorovic, J Chai, ... Iscience 25 (1), 2022 | 52 | 2022 |
| Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection K Wang, L Lin, W Zuo, S Gu, L Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 51 | 2016 |
| Human pose estimation from depth images via inference embedded multi-task learning K Wang, S Zhai, H Cheng, X Liang, L Lin Proceedings of the 24th ACM international conference on Multimedia, 1227-1236, 2016 | 50 | 2016 |
| Cost-effective object detection: Active sample mining with switchable selection criteria K Wang, L Lin, X Yan, Z Chen, D Zhang, L Zhang IEEE Transactions on Neural Networks and Learning Systems 30 (3), 834-850, 2018 | 41 | 2018 |
| Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding Q Cao, B Li, X Liang, K Wang, L Lin IEEE Transactions on Neural Networks and Learning Systems, 2021 | 39 | 2021 |
| Instance-aware representation learning and association for online multi-person tracking H Wu, Y Hu, K Wang, H Li, L Nie, H Cheng Pattern Recognition 94, 25-34, 2019 | 37 | 2019 |
Liang LinFellow of IEEE/IAPR, Research Director of Peng Cheng Laboratory, Professor of Computer Science, SYSU在 ieee.org 的電子郵件地址已通過驗證
