Articles with public access mandates - Tian FangLearn more
Not available anywhere: 2
Vis-mvsnet: Visibility-aware multi-view stereo network
J Zhang, S Li, Z Luo, T Fang, Y Yao
International Journal of Computer Vision 131 (1), 199-214, 2023
Mandates: Research Grants Council, Hong Kong
Efficient multi-view surface refinement with adaptive resolution control
S Li, SY Siu, T Fang, L Quan
European Conference on Computer Vision, 349-364, 2016
Mandates: Research Grants Council, Hong Kong
Available somewhere: 30
Recurrent mvsnet for high-resolution multi-view stereo depth inference
Y Yao, Z Luo, S Li, T Shen, T Fang, L Quan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Mandates: Research Grants Council, Hong Kong
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
Mandates: Research Grants Council, Hong Kong
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
Mandates: Research Grants Council, Hong Kong
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
Mandates: Research Grants Council, Hong Kong
A Multiscale and Hierarchical Feature Extraction Method for Terrestrial Laser Scanning Point Cloud Classification
Z Wang, L Zhang, T Fang, PT Mathiopoulos, X Tong, H Qu, Z Xiao, F Li, ...
Geoscience and Remote Sensing, IEEE Transactions on 53 (5), 2409--2425, 2015
Mandates: National Natural Science Foundation of China
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
Mandates: Research Grants Council, Hong Kong
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
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Mandates: Research Grants Council, Hong Kong
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
Mandates: Research Grants Council, Hong Kong
Graph-based consistent matching for structure-from-motion
T Shen, S Zhu, T Fang, R Zhang, L Quan
European Conference on Computer Vision, 139-155, 2016
Mandates: Research Grants Council, Hong Kong
Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus
R Zhang, S Zhu, T Fang, L Quan
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Mandates: Research Grants Council, Hong Kong
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
Mandates: Research Grants Council, Hong Kong
A structure-aware global optimization method for reconstructing 3-D tree models from terrestrial laser scanning data
Z Wang, L Zhang, T Fang, PT Mathiopoulos, H Qu, D Chen, Y Wang
Geoscience and Remote Sensing, IEEE Transactions on 52 (9), 5653-5669, 2014
Mandates: National Natural Science Foundation of China
Learning discriminative feature with crf for unsupervised video object segmentation
M Zhen, S Li, L Zhou, J Shang, H Feng, T Fang, L Quan
European Conference on Computer Vision, 445-462, 2020
Mandates: Research Grants Council, Hong Kong
Learning fully dense neural networks for image semantic segmentation
M Zhen, J Wang, L Zhou, T Fang, L Quan
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9283-9290, 2019
Mandates: Research Grants Council, Hong Kong
Progressive Large Scale-Invariant Image Matching In Scale Space
L Zhou, S Zhu, T Shen, J Wang, T Fang, L Quan
reconstruction 38, 4, 2017
Mandates: Research Grants Council, Hong Kong
Classification of urban point clouds: A robust supervised approach with automatically generating training data
Z Li, L Zhang, R Zhong, T Fang, L Zhang, Z Zhang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
Mandates: National Natural Science Foundation of China
Reconstructing thin structures of manifold surfaces by integrating spatial curves
S Li, Y Yao, T Fang, L Quan
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Mandates: Research Grants Council, Hong Kong
Stochastic bundle adjustment for efficient and scalable 3d reconstruction
L Zhou, Z Luo, M Zhen, T Shen, S Li, Z Huang, T Fang, L Quan
European Conference on Computer Vision, 364-379, 2020
Mandates: Research Grants Council, Hong Kong
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