Yongchao Xu
Yongchao Xu
Professor, School of Computer Science, Wuhan University
Verified email at - Homepage
Cited by
Cited by
Gliding vertex on the horizontal bounding box for multi-oriented object detection
Y Xu, M Fu, Q Wang, Y Wang, K Chen, GS Xia, X Bai
IEEE transactions on pattern analysis and machine intelligence 43 (4), 1452-1459, 2020
Textfield: Learning a deep direction field for irregular scene text detection
Y Xu, Y Wang, W Zhou, Y Wang, Z Yang, X Bai
IEEE Transactions on Image Processing 28 (11), 5566-5579, 2019
Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge
HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ...
IEEE transactions on medical imaging 38 (11), 2556-2568, 2019
Deep-person: Learning discriminative deep features for person re-identification
X Bai, M Yang, T Huang, Z Dou, R Yu, Y Xu
Pattern Recognition 98, 107036, 2020
Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge
L Wang, D Nie, G Li, É Puybareau, J Dolz, Q Zhang, F Wang, J Xia, Z Wu, ...
IEEE transactions on medical imaging 38 (9), 2219-2230, 2019
Hard-aware point-to-set deep metric for person re-identification
R Yu, Z Dou, S Bai, Z Zhang, Y Xu, X Bai
Proceedings of the European conference on computer vision (ECCV), 188-204, 2018
Seglink++: Detecting dense and arbitrary-shaped scene text by instance-aware component grouping
J Tang, Z Yang, Y Wang, Q Zheng, Y Xu, X Bai
Pattern recognition 96, 106954, 2019
Learn to scale: Generating multipolar normalized density maps for crowd counting
C Xu, K Qiu, J Fu, S Bai, Y Xu, X Bai
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
All you need is boundary: Toward arbitrary-shaped text spotting
H Wang, P Lu, H Zhang, M Yang, X Bai, Y Xu, M He, Y Wang, W Liu
Proceedings of the AAAI conference on artificial intelligence 34 (07), 12160 …, 2020
Intra-class feature variation distillation for semantic segmentation
Y Wang, W Zhou, T Jiang, X Bai, Y Xu
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Predicting COVID-19 malignant progression with AI techniques
X Bai, C Fang, Y Zhou, S Bai, Z Liu, Q Chen, Y Xu, T Xia, S Gong, X Xie, ...
MedRxiv, 2020.03. 20.20037325, 2020
Autoscale: Learning to scale for crowd counting
C Xu, D Liang, Y Xu, S Bai, W Zhan, X Bai, M Tomizuka
International Journal of Computer Vision 130 (2), 405-434, 2022
Affinity space adaptation for semantic segmentation across domains
W Zhou, Y Wang, J Chu, J Yang, X Bai, Y Xu
IEEE Transactions on Image Processing 30, 2549-2561, 2020
Connected filtering on tree-based shape-spaces
Y Xu, T Géraud, L Najman
IEEE transactions on pattern analysis and machine intelligence 38 (6), 1126-1140, 2015
Deep learning for detecting cerebral aneurysms with CT angiography
J Yang, M Xie, C Hu, O Alwalid, Y Xu, J Liu, T Jin, C Li, D Tu, X Liu, ...
Radiology 298 (1), 155-163, 2021
Integrating scene text and visual appearance for fine-grained image classification
X Bai, M Yang, P Lyu, Y Xu, J Luo
IEEE Access 6, 66322-66335, 2018
Morphological filtering in shape spaces: Applications using tree-based image representations
Y Xu, T Géraud, L Najman
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
Tree-based morse regions: A topological approach to local feature detection
Y Xu, P Monasse, T Géraud, L Najman
IEEE Transactions on Image Processing 23 (12), 5612-5625, 2014
Hierarchical segmentation using tree-based shape spaces
Y Xu, E Carlinet, T Géraud, L Najman
IEEE transactions on pattern analysis and machine intelligence 39 (3), 457-469, 2016
Learning directional feature maps for cardiac mri segmentation
F Cheng, C Chen, Y Wang, H Shi, Y Cao, D Tu, C Zhang, Y Xu
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
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