Office: Room E505, School of Computer Science, Wuhan University
Tel: 0086-27-68776175
Email: yongchao.xu@whu.edu.cn; yongchao.xu1986@gmail.com
I am currently a Professor at the School of Computer Science, Wuhan University. I received my PhD degree in image processing and computer vision at Université Paris Est, under the supervision of Prof. Thierry Géraud and Laurent Najman. I was a tenured Assistant Professor (Maître de Conférences) at LRDE/EPITA and an Associate Researcher with TSI/Télécom ParisTech. Before joining Wuhan University, I was an Associate Professor at the School of Electronics and Information Engineering, Huazhong University of Science and Technology.
Mathematic morphology
Image segmentation
Medical images analysis
Multi-oriented object detection and recognition
Cross-domain generalization for deep learning
史天意, 程枫, 李震, 郑传胜, 许永超*, 白翔, "基于多模型融合的肺部CT新冠肺炎病灶区域自动分割". 自动化学报, 2021 (Accepted). [paper]
Tianyi Shi, Nicolas Boutry, Yongchao Xu*, Thierry Géraud, "Local Intensity Order Transformation for Robust Curvilinear Object Segmentation". IEEE Transactions on Image Processing (TIP), 2022 (Accepted, DOI: 10.1109/TIP.2022.315595). [paper]
Chenfeng Xu#, Dingkang Liang#, Yongchao Xu*, Song Bai, Wei Zhan, Xiang Bai, Masayoshi Tomizuka, "AutoScale: Learning to Scale for Crowd Counting". International Journal of Computer Vision (IJCV), 2022. [paper]
Xiang Bai#, Hanchen Wang#, Liya Ma#, Yongchao Xu#, Jiefeng Gan# , Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang , Ming-Wei Wang , Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu , Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat , Jianjun Zhang , Weiyang Liu, Michael Roberts , Zhongzhao Teng, Lucian Beer, Lorena E. Sanchez , Evis Sala, Daniel L. Rubin , Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li , Carola Schönlieb and Tian Xia, "Advancing COVID-19 Diagnosis with Privacy-preserving Collaboration in Artificial Intelligence". Nature Machine Intelligence (NMI), 2021. [paper]
Yajie Chen, Dingkang Liang, Xiang Bai, Yongchao Xu*, and Xin Yang*, "Cell Localization and Counting Using Direction Field Map (JBHI), 2021.
Jiehua Yang#, Mingfei Xie#, Canpei Hu, Osamah Alwalid, Yongchao Xu, Jia Liu, Teng Jin, Changde Li, Dandan Tu, Xiaowu Liu, Changzheng Zhang, Cixing Li, Xi Long*, "Deep Learning for Detecting Cerebral Aneurysms with CT Angiography". Radiology, 2021.
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Xiang Bai, Mingkun Yang, Tengteng Huang, Zhiyong Dou, Rui Yu, Yongchao Xu*, "Deep-Person: Learning Discriminative Deep Features for Person Re-Identification". Pattern Recognition (PR), 2020.
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Jun Tang, Zhibo Yang, Yongpan Wang, Qi Zheng, Yongchao Xu*, Xiang Bai. "Detecting Dense and Arbitrary-shaped Scene Text by Instance-aware Component Grouping". Pattern Recognition (PR), 2019.
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Tengteng Huang, Yongchao Xu*, Song Bai, Yongpan Wang, Xiang Bai. "Feature context learning for human parsing". SCIENCE CHINA Information Sciences, 2019.
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Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adria Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Llado, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sebastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Elodie Puybareau, Leticia Rittner, Carole H. Sudre, Sergi Valverde, Veronica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje van der Flier, Frederik Barkhof, Max A. Viergever, and Geert Jan Biessels, "Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge". IEEE Transactions on Medical imaging (TMI), 2019.
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Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jiawei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S. Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien P.W. Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M. Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, and Dinggang Shen, "Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge". IEEE Transactions on Medical imaging (TMI), 2019.
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Yongchao Xu#*, Baptiste Morel#, Sonia Dahdouh, et al. "The Challenge of Cerebral Magnetic Resonance Imaging in Neonates: A new method using mathematical morphology for the segmentation of structures including diffuse excessive high signal intensities". Medical Image Analysis (MIA), 2018.
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Yongchao Xu, Edwin Carlinet, Thierry Géraud, Laurent Najman. "Hierarchical Segmentation Using Tree-Based Shape Spaces". IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.
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Yongchao Xu, Thierry Géraud, Laurent Najman. "Connected Filtering on Tree-Based Shape-Spaces". IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
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Yongchao Xu, Thierry Géraud, Laurent Najman. "Hierarchical images simplification and segmentation based on Mumford-Shah-salient level line selection". Pattern Recognition Letters (PRL), 2016.
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Yongchao Xu, Thierry Géraud, Pascal Monasse, Laurent Najman. "Tree-Based Morse Regions: A Topological Approach to Local Feature Detection". IEEE Transactions on Image Processing (TIP), 2014.
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Yukang Wang, Wei Zhou, Tao Jiang, Xiang Bai, Yongchao Xu*, "Intra-class Feature Compactness Distillation for Semantic Segmentation". ECCV, 2020.
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Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai, "AutoSTR: Efficient backbone search for scene text recognition". ECCV, 2020.
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Jiajia Chu, Yajie Chen, Wei Zhou, Heshui Shi, Yukun Cao, Dandan Tu, Richu Jin, Yongchao Xu*, "Pay More Attention to Discontinuity for Medical Image Segmentation". MICCAI, 2020.
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Feng Cheng#, Cheng Chen#, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu*, "Learning Directional Feature Maps for Cardiac MRI Segmentation". MICCAI, 2020.
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Hao Wang, Pu Lu, Hui Zhang, Mingkun Yang, Xiang Bai, Yongchao Xu, Mengchao He, Yongpan Wang, Wenyu Liu, "All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting ". AAAI, 2020.
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Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu*, Xiang Bai, "Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting". ICCV, 2019.
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Rui Yu, Zhiyong Dou, Song Bai, Zhaoxiang Zhang, Yongchao Xu*, Xiang Bai*, "Hard-Aware Point-to-Set Deep Metric for Person Re-identification. ". European Conference on Computer Vision(ECCV), 2018.
Yongchao Xu, Edwin Carlinet, Thierry Géraud, L aurent Najman. "Efficient Computation of Attributes and Saliency Maps on Tree-Based Image Representations". Mathematical Morphology and Its Application to Signal and Image Processing -- Proceedings of the 12th International Symposium on Mathematical Morphology (ISMM), 2015.
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Yongchao Xu, Thierry Géraud, Laurent Najman. "Salient Level Lines Selection Using the Mumford-Shah Functional", Proceedings of the 20th International Conference on Image Processing (ICIP), 2013.
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Yongchao Xu, Thierry Géraud, Laurent Najman. "Two applications of shape-based morphology: blood vessels segmentation and a generalization of constrained connectivity". Mathematical Morphology and Its Application to Signal and Image Processing -- Proceedings of the 11th International Symposium on Mathematical Morphology (ISMM), 2013.
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Yongchao Xu, Thierry Géraud, Laurent Najman. "Morphological Filtering in Shape Spaces : Applications using Tree-Based Image Representations". Proceedings of the 21st International Conference on Pattern Recognition (ICPR), 2012.
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Yongchao Xu, Thierry Géraud, Laurent Najman. "Context-Based Energy Estimator: Application to Object Segmentation on the Tree of Shapes". Proceedings of the 19th International Conference on Image Processing (ICIP), 2012.
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Journal Reviews:
TPAMI, IJCV, ITIP, TMM, Neuroimage, PR, PRL, Neurocomputing, ISPRS Journal of Photogrammetry and Remote Sensing
Conference Reviews:
CVPR, AAAI, ECCV, IJCAI, MICCAI, ICIP, ICPR, ISMM