| D3feat: Joint learning of dense detection and description of 3d local features X Bai, Z Luo, L Zhou, H Fu, L Quan, CL Tai Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 485 | 2020 |
| Blendedmvs: A large-scale dataset for generalized multi-view stereo networks Y Yao, Z Luo, S Li, J Zhang, Y Ren, L Zhou, T Fang, L Quan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 483 | 2020 |
| Learning two-view correspondences and geometry using order-aware network J Zhang, D Sun, Z Luo, A Yao, L Zhou, T Shen, Y Chen, L Quan, H Liao Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 445 | 2019 |
| Adaptive pyramid context network for semantic segmentation J He, Z Deng, L Zhou, Y Wang, Y Qiao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 436 | 2019 |
| Aslfeat: Learning local features of accurate shape and localization Z Luo, L Zhou, X Bai, H Chen, J Zhang, Y Yao, S Li, T Fang, L Quan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 364 | 2020 |
| Pointdsc: Robust point cloud registration using deep spatial consistency X Bai, Z Luo, L Zhou, H Chen, L Li, Z Hu, H Fu, CL Tai Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 331 | 2021 |
| Contextdesc: Local descriptor augmentation with cross-modality context Z Luo, T Shen, L Zhou, J Zhang, Y Yao, S Li, T Fang, L Quan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 304 | 2019 |
| Geodesc: Learning local descriptors by integrating geometry constraints Z Luo, T Shen, L Zhou, S Zhu, R Zhang, Y Yao, T Fang, L Quan Proceedings of the European conference on computer vision (ECCV), 168-183, 2018 | 214 | 2018 |
| Evolution of cooperation on temporal networks A Li, L Zhou, Q Su, SP Cornelius, YY Liu, L Wang, SA Levin Nature communications 11 (1), 2259, 2020 | 193 | 2020 |
| Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications N Kasabov, NM Scott, E Tu, S Marks, N Sengupta, E Capecci, M Othman, ... Neural Networks 78, 1-14, 2016 | 189 | 2016 |
| Aspanformer: Detector-free image matching with adaptive span transformer H Chen, Z Luo, L Zhou, Y Tian, M Zhen, T Fang, D Mckinnon, Y Tsin, ... European Conference on Computer Vision, 20-36, 2022 | 186 | 2022 |
| Very large-scale global sfm by distributed motion averaging S Zhu, R Zhang, L Zhou, T Shen, T Fang, P Tan, L Quan Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 174 | 2018 |
| Self-supervised monocular 3d face reconstruction by occlusion-aware multi-view geometry consistency J Shang, T Shen, S Li, L Zhou, M Zhen, T Fang, L Quan European Conference on Computer Vision, 53-70, 2020 | 165 | 2020 |
| Joint semantic segmentation and boundary detection using iterative pyramid contexts M Zhen, J Wang, L Zhou, S Li, T Shen, J Shang, T Fang, L Quan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 163 | 2020 |
| Goal-oriented gaze estimation for zero-shot learning Y Liu, L Zhou, X Bai, Y Huang, L Gu, J Zhou, T Harada Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 159 | 2021 |
| Variational autoencoder for low bit-rate image compression L Zhou, C Cai, Y Gao, S Su, J Wu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 148 | 2018 |
| Learning to match features with seeded graph matching network H Chen, Z Luo, J Zhang, L Zhou, X Bai, Z Hu, CL Tai, L Quan Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 128 | 2021 |
| Deep multiple instance learning for automatic detection of diabetic retinopathy in retinal images L Zhou, Y Zhao, J Yang, Q Yu, X Xu IET Image Processing 12 (4), 563-571, 2018 | 114 | 2018 |
| Beyond photometric loss for self-supervised ego-motion estimation T Shen, Z Luo, L Zhou, H Deng, R Zhang, T Fang, L Quan 2019 International Conference on Robotics and Automation (ICRA), 6359-6365, 2019 | 108 | 2019 |
| Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus R Zhang, S Zhu, T Shen, L Zhou, Z Luo, T Fang, L Quan IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018 | 98 | 2018 |
Long QUANProfessor, Department of Computer Science and Engineering, HKUSTยืนยันอีเมลแล้วที่ cse.ust.hk