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Lei Zhou
Lei Zhou
在 cse.ust.hk 的电子邮件经过验证 - 首页
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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
3912019
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
3642020
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
3562020
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
2962020
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
2742019
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
2312021
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
2062018
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
1612018
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
1482020
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
1392020
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
1142022
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
1122018
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
1012019
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
942021
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
872018
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
842020
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
632020
End-to-end Optimized Image Compression with Attention Mechanism.
L Zhou, Z Sun, X Wu, J Wu
CVPR workshops, 0, 2019
632019
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
592018
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