| Mlcvnet: Multi-level context votenet for 3d object detection Q Xie, YK Lai, J Wu, Z Wang, Y Zhang, K Xu, J Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 217 | 2020 |
| Visual diagnosis of tree boosting methods S Liu, J Xiao, J Liu, X Wang, J Wu, J Zhu IEEE transactions on visualization and computer graphics 24 (1), 163-173, 2017 | 110 | 2017 |
| Hierarchical reinforcement learning with universal policies for multistep robotic manipulation X Yang, Z Ji, J Wu, YK Lai, C Wei, G Liu, R Setchi IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4727-4741, 2021 | 89 | 2021 |
| Interactive correction of mislabeled training data S Xiang, X Ye, J Xia, J Wu, Y Chen, S Liu 2019 IEEE Conference on Visual Analytics Science and Technology (VAST), 57-68, 2019 | 84 | 2019 |
| Venet: Voting enhancement network for 3d object detection Q Xie, YK Lai, J Wu, Z Wang, D Lu, M Wei, J Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 64 | 2021 |
| Mlvsnet: Multi-level voting siamese network for 3d visual tracking Z Wang, Q Xie, YK Lai, J Wu, K Long, J Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 59 | 2021 |
| Manifold alignment for semantically aligned style transfer J Huo, S Jin, W Li, J Wu, YK Lai, Y Shi, Y Gao Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 59 | 2021 |
| Analyzing the noise robustness of deep neural networks K Cao, M Liu, H Su, J Wu, J Zhu, S Liu IEEE transactions on visualization and computer graphics 27 (7), 3289-3304, 2020 | 57 | 2020 |
| A unified understanding of deep nlp models for text classification Z Li, X Wang, W Yang, J Wu, Z Zhang, Z Liu, M Sun, H Zhang, S Liu IEEE Transactions on Visualization and Computer Graphics 28 (12), 4980-4994, 2022 | 53 | 2022 |
| Making bas-reliefs from photographs of human faces J Wu, RR Martin, PL Rosin, XF Sun, FC Langbein, YK Lai, AD Marshall, ... Computer-Aided Design 45 (3), 671-682, 2013 | 46 | 2013 |
| Facial gender classification using shape-from-shading J Wu, WAP Smith, ER Hancock Image and Vision Computing 28 (6), 1039-1048, 2010 | 46 | 2010 |
| Gender Classification using Shape from Shading. J Wu, WAP Smith, ER Hancock BMVC, 1-10, 2007 | 46 | 2007 |
| Interactive graph construction for graph-based semi-supervised learning C Chen, Z Wang, J Wu, X Wang, LZ Guo, YF Li, S Liu IEEE Transactions on Visualization and Computer Graphics 27 (9), 3701-3716, 2021 | 37 | 2021 |
| Interactive visual cluster analysis by contrastive dimensionality reduction J Xia, L Huang, W Lin, X Zhao, J Wu, Y Chen, Y Zhao, W Chen IEEE Transactions on Visualization and Computer Graphics 29 (1), 734-744, 2022 | 34 | 2022 |
| Towards better caption supervision for object detection C Chen, J Wu, X Wang, S Xiang, SH Zhang, Q Tang, S Liu IEEE Transactions on Visualization and Computer Graphics 28 (4), 1941-1954, 2021 | 25 | 2021 |
| Vote-based 3D object detection with context modeling and SOB-3DNMS Q Xie, YK Lai, J Wu, Z Wang, Y Zhang, K Xu, J Wang International Journal of Computer Vision 129, 1857-1874, 2021 | 24 | 2021 |
| Computer‐assisted relief modelling: A comprehensive survey YW Zhang, J Wu, Z Ji, M Wei, C Zhang Computer Graphics Forum 38 (2), 521-534, 2019 | 23 | 2019 |
| An open-source multi-goal reinforcement learning environment for robotic manipulation with pybullet X Yang, Z Ji, J Wu, YK Lai Annual Conference Towards Autonomous Robotic Systems, 14-24, 2021 | 20 | 2021 |
| Use of non-photorealistic rendering and photometric stereo in making bas-reliefs from photographs J Wu, RR Martin, PL Rosin, XF Sun, YK Lai, YH Liu, C Wallraven Graphical Models 76 (4), 202-213, 2014 | 20 | 2014 |
| Recent advances of deep robotic affordance learning: a reinforcement learning perspective X Yang, Z Ji, J Wu, YK Lai IEEE Transactions on Cognitive and Developmental Systems 15 (3), 1139-1149, 2023 | 19 | 2023 |
Yu-Kun LaiProfessor, Cardiff UniversityВерификована је имејл адреса на cs.cf.ac.uk
