3D Object Recognition in Cluttered Scenes With Robust Shape Description and Correspondence Selection. K Tang, P Song, X Chen IEEE Access 5 (99), 1833-1845, 2017 | 32 | 2017 |
Signature of geometric centroids for 3d local shape description and partial shape matching K Tang, P Song, X Chen Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | 17 | 2017 |
Computational Design of Steady 3D Dissection Puzzles K Tang, P Song, X Wang, B Deng, CW Fu, L Liu Eurographics 2019 38 (2), 291-303, 2019 | 15 | 2019 |
CODEs: Chamfer out-of-distribution examples against overconfidence issue K Tang, D Miao, W Peng, J Wu, Y Shi, Z Gu, Z Tian, W Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 14 | 2021 |
The Intelligent Techniques in Robot KeJia – The Champion of RoboCup@Home 2014 K Chen, D Lu, Y Chen, K Tang, N Wang, X Chen RoboCup 2014: Robot World Cup XVIII 18, 130-141, 2015 | 13 | 2015 |
Chinese text classification based on neural networks and word2vec W Hu, Z Gu, Y Xie, L Wang, K Tang 2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC …, 2019 | 12 | 2019 |
Decision fusion networks for image classification K Tang, Y Ma, D Miao, P Song, Z Gu, Z Tian, W Wang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 11 | 2022 |
Manipulation planning from demonstration via goal-conditioned prior action primitive decomposition and alignment N Lin, Y Li, K Tang, Y Zhu, X Zhang, R Wang, J Ji, X Chen, X Zhang IEEE Robotics and Automation Letters 7 (2), 1387-1394, 2022 | 10 | 2022 |
Pyrapvconv: efficient 3d point cloud perception with pyramid voxel convolution and sharable attention Y Chen, W Peng, K Tang, A Khan, G Wei, M Fang Computational Intelligence and Neuroscience 2022, 2022 | 7 | 2022 |
A Hybrid Underwater Manipulator System with Intuitive Muscle-level sEMG Mapping Control H Zhong, Z Shen, Y Zhao, K Tang, W Wang, Z Wang IEEE Robotics and Automation Letters (selected to present at ICRA 2020), 2020 | 6 | 2020 |
KeJia-LC: A Low-Cost Mobile Robot Platform — Champion of Demo Challenge on Benchmarking Service Robots at RoboCup 2015 Y Chen, F Wu, N Wang, K Tang, M Cheng, X Chen RoboCup 2015: Robot World Cup XIX 19, 60-71, 2015 | 6 | 2015 |
Rethinking Perturbation Directions for Imperceptible Adversarial Attacks on Point Clouds K Tang, Y Shi, T Lou, W Peng, X He, P Zhu, Z Gu, Z Tian IEEE Internet of Things Journal, 2022 | 4 | 2022 |
Synthetical benchmarking of service robots: a first effort on domestic mobile platforms M Cheng, X Chen, K Tang, F Wu, A Kupcsik, L Iocchi, Y Chen, D Hsu RoboCup 2015: Robot World Cup XIX 19, 377-388, 2015 | 4 | 2015 |
Unsupervised feature selection through combining graph learning and ℓ2, 0-norm constraint P Zhu, X Hou, K Tang, Y Liu, YP Zhao, Z Wang Information Sciences 622, 68-82, 2023 | 3 | 2023 |
Compactness score: a fast filter method for unsupervised feature selection P Zhu, X Hou, K Tang, Z Wang, F Nie Annals of Operations Research, 1-17, 2023 | 3 | 2023 |
NormalAttack: Curvature-Aware Shape Deformation along Normals for Imperceptible Point Cloud Attack K Tang, Y Shi, J Wu, W Peng, A Khan, P Zhu, Z Gu Security and Communication Networks 2022, 2022 | 3 | 2022 |
GM-Attack: Improving the Transferability of Adversarial Attacks J Hong, K Tang, C Gao, S Wang, S Guo, P Zhu Knowledge Science, Engineering and Management: 15th International Conference …, 2022 | 3 | 2022 |
RepPVConv: attentively fusing reparameterized voxel features for efficient 3D point cloud perception K Tang, Y Chen, W Peng, Y Zhang, M Fang, Z Wang, P Song The Visual Computer, 1-12, 2022 | 2 | 2022 |
Geometrical consistency modeling on b-spline parameter domain for 3d face reconstruction from limited number of wild images W Peng, Y Su, K Tang, C Xu, Z Feng, M Fang Frontiers in Neurorobotics, 35, 2021 | 2 | 2021 |
BoneNet: real-time 3D human pose estimation by generating multiple hypotheses with bone-map representation G Wei, S Wu, K Tang, G Li Comput. Aided Design Appl 18 (6), 1448-1465, 2021 | 2 | 2021 |