Semi-supervised Deep Large-baseline Homography Estimation with Progressive Equivalence Constraint
AAAI Conference on Artificial Intelligence (AAAI), 2023.
Hai Jiang, Haipeng Li,
Yuhang Lu, Songchen Han, Shuaicheng Liu
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PDF]
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Code]
Unsupervised Global and Local Homography Estimation with Motion Basis Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Shuaicheng Liu,
Yuhang Lu, Hai Jiang, Nianjin Ye, Chuang Wang, Bing Zeng
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PDF]
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Code]
Unsupervised Homography Estimation with Coplanarity-Aware GAN
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Mingbo Hong*,
Yuhang Lu*, Nianjin Ye, Chunyu Lin, Qijun Zhao, Shuaicheng Liu
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Code]
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Video]
Snowvision: Segmenting, Identifying, and Discovering Stamped Curve Patterns from Fragments of Pottery
International Journal of Computer Vision (IJCV), 2022
Yuhang Lu*, Jun Zhou*, Sam T. McDorman, Canyu Zhang, Deja Scott, Jake Bukuts, Colin Wilder, Karen Y. Smith, Song Wang
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PDF]
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Code]
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Website]
Cross-domain Few-shot Segmentation with Transductive Fine-tuning
arxiv, 2021
Yuhang Lu, Xinyi Wu, Zhenyao Wu, Song Wang
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PDF]
Annotation-Efficient Semantic Segmentation with Shape Prior Knowledge
ACM Multimedia Doctoral Symposium, 2021
Yuhang Lu
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PDF]
Contour Transformer Network for One-shot Segmentation of Anatomical Structures
IEEE Transactions on Medical Imaging, 2020
Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao
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PDF]
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Dataset]
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Code]
Learning to Segment Anatomical Structures Accurately from One Exemplar
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020
Yuhang Lu, Weijian Li, Kang Zheng, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao
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PDF]
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Dataset]
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Code]
Structured Landmark Detection via Topology-Adapting Deep Graph Learning
European Conference on Computer Vision (ECCV), 2020.
Weijian Li,
Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao
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PDF]
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Code]
A Framework for Design Identification on Heritage Objects
Proceedings of the Practice and Experience in Advanced Research Computing (PEARC), 2019.
Jun Zhou*,
Yuhang Lu*, Karen Smith, Colin Wilder, Song Wang, Paul Sagona, Ben Torkian
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PDF]
(Best Paper Award of the Machine Learning track)
Curve-Structure Segmentation from Depth Maps: A CNN-based Approach and Its Application to Exploring Cultural Heritage Objects
AAAI Conference on Artificial Intelligence (AAAI), 2018
Yuhang Lu, Jun Zhou, Jing Wang, Jun Chen, Karen Smith, Colin Wilder, Song Wang
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PDF]
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Code]
Scale-constrained Unsupervised Evaluation Method for Multi-scale Image Segmentation
IEEE International Conference on Image Processing (ICIP), 2016
Yuhang Lu, YouchuanWan, Gang Li
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PDF]
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Code]
