| 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 | 391 | 2019 |
| 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 | 364 | 2020 |
| 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 | 356 | 2020 |
| 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 | 296 | 2020 |
| 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 | 274 | 2019 |
| 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 | 231 | 2021 |
| 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 | 206 | 2018 |
| 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 | 161 | 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 | 148 | 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 | 139 | 2020 |
| 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 | 114 | 2022 |
| 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 | 112 | 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 | 101 | 2019 |
| 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 | 94 | 2021 |
| 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 | 87 | 2018 |
| Kfnet: Learning temporal camera relocalization using kalman filtering L Zhou, Z Luo, T Shen, J Zhang, M Zhen, Y Yao, T Fang, L Quan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 84 | 2020 |
| Parallel structure from motion from local increment to global averaging S Zhu, T Shen, L Zhou, R Zhang, J Wang, T Fang, L Quan arXiv preprint arXiv:1702.08601, 2017 | 65* | 2017 |
| Learning discriminative feature with crf for unsupervised video object segmentation M Zhen, S Li, L Zhou, J Shang, H Feng, T Fang, L Quan Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 63 | 2020 |
| End-to-end Optimized Image Compression with Attention Mechanism. L Zhou, Z Sun, X Wu, J Wu CVPR workshops, 0, 2019 | 63 | 2019 |
| Exploring linear relationship in feature map subspace for convnets compression D Wang, L Zhou, X Zhang, X Bai, J Zhou arXiv preprint arXiv:1803.05729, 2018 | 59 | 2018 |
Long QUANProfessor, Department of Computer Science and Engineering, HKUST在 cse.ust.hk 的电子邮件经过验证
