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2020 – today
- 2025
- [j36]Guoping Xu, Xiaxia Wang, Xinglong Wu, Xuesong Leng, Yongchao Xu:
Development of residual learning in deep neural networks for computer vision: A survey. Eng. Appl. Artif. Intell. 142: 109890 (2025) - [j35]Yuliang Gu, Zhichao Sun, Tian Chen, Xin Xiao, Yepeng Liu, Yongchao Xu, Laurent Najman:
Dual structure-aware image filterings for semi-supervised medical image segmentation. Medical Image Anal. 99: 103364 (2025) - [j34]Yuxuan Xiong, Zhou Zhao, Yongchao Xu, Yan Zhang, Bo Du:
Calibration Matters: Prototype-Aware Diffusion for OCT Cervical Classification With Calibration. IEEE Signal Process. Lett. 32: 396-400 (2025) - 2024
- [j33]Wenhui Dong, Bo Du, Yongchao Xu:
Shape-intensity-guided U-net for medical image segmentation. Neurocomputing 610: 128534 (2024) - [j32]Zhichao Sun, Huachao Zhu, Xin Xiao, Yuliang Gu, Yongchao Xu:
Nighttime image semantic segmentation with retinex theory. Image Vis. Comput. 148: 105149 (2024) - [j31]Wenhui Dong, Bo Du, Yongchao Xu:
Source domain prior-assisted segment anything model for single domain generalization in medical image segmentation. Image Vis. Comput. 150: 105216 (2024) - [j30]Yuxuan Xiong, Yongchao Xu, Yan Zhang, Bo Du:
Distilling OCT cervical dataset with evidential uncertainty proxy. Image Vis. Comput. 151: 105250 (2024) - [j29]Chang Liu, Yong Luo, Yongchao Xu, Bo Du:
HPFL: hyper-network guided personalized federated learning for multi-center tuberculosis chest x-ray diagnosis. Multim. Tools Appl. 83(29): 73273-73287 (2024) - [j28]Zhiyi Yang, Zhou Zhao, Yuliang Gu, Yongchao Xu:
Query-guided generalizable medical image segmentation. Pattern Recognit. Lett. 184: 52-58 (2024) - [j27]Qian Tang, Qikui Zhu, Yuxuan Xiong, Yongchao Xu, Bo Du:
Edge-and-Mask Integration-Driven Diffusion Models for Medical Image Segmentation. IEEE Signal Process. Lett. 31: 2665-2669 (2024) - [j26]Qian Tang, Yapeng Li, Yongchao Xu, Bo Du:
Enhancing Building Footprint Extraction With Partial Occlusion by Exploring Building Integrity. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j25]Yicong Li, Wanhua Li, Qi Chen, Wei Huang, Yuda Zou, Xin Xiao, Kazunori Shinomiya, Pat Gunn, Nishika Gupta, Alexey Polilov, Yongchao Xu, Yueyi Zhang, Zhiwei Xiong, Hanspeter Pfister, Donglai Wei, Jingpeng Wu:
WASPSYN: A Challenge for Domain Adaptive Synapse Detection in Microwasp Brain Connectomes. IEEE Trans. Medical Imaging 43(11): 3719-3730 (2024) - [j24]Chang Liu, Yong Luo, Yongchao Xu, Bo Du:
Foundation models matter: federated learning for multi-center tuberculosis diagnosis via adaptive regularization and model-contrastive learning. World Wide Web (WWW) 27(3): 30 (2024) - [c42]Yuda Zou, Xin Xiao, Peilin Zhou, Zhichao Sun, Bo Du, Yongchao Xu:
Shifted Autoencoders for Point Annotation Restoration in Object Counting. ECCV (25) 2024: 113-130 - [c41]Huachao Zhu, Zhichao Sun, Zelong Liu, Yongchao Xu:
P2A: Transforming Proposals to Anomaly Masks. ICPR (33) 2024: 48-63 - [c40]Shiyun Wang, Yongchao Xu:
Auxiliary Information Guided Segmentation for the Clinical Target Volume of Cervical Cancer. ICPR (27) 2024: 328-343 - [c39]Haoyu Zhao, Wenhui Dong, Rui Yu, Zhou Zhao, Bo Du, Yongchao Xu:
MoreStyle: Relax Low-Frequency Constraint of Fourier-Based Image Reconstruction in Generalizable Medical Image Segmentation. MICCAI (8) 2024: 434-444 - [c38]Zhikai Wei, Wenhui Dong, Peilin Zhou, Yuliang Gu, Zhou Zhao, Yongchao Xu:
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation. MICCAI (8) 2024: 533-543 - [c37]Zhichao Sun, Yuliang Gu, Yepeng Liu, Zerui Zhang, Zhou Zhao, Yongchao Xu:
Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays. MICCAI (1) 2024: 567-577 - [c36]Zerui Zhang, Zhichao Sun, Zelong Liu, Zhou Zhao, Rui Yu, Bo Du, Yongchao Xu:
Spatial-Aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image. MICCAI (5) 2024: 638-648 - [c35]Haoyu Zhao, Yuliang Gu, Zhou Zhao, Bo Du, Yongchao Xu, Rui Yu:
WIA-LD2ND: Wavelet-Based Image Alignment for Self-supervised Low-Dose CT Denoising. MICCAI (7) 2024: 764-774 - [c34]Qian Tang, Qikui Zhu, Yongchao Xu, Bo Du:
A Generalized Contrast-Adjustment Guided Growth Method for Medical Image Segmentation. PRCV (15) 2024: 91-106 - [c33]Xingbo Wang, Yongchao Xu, Xueyang Fu, Zheng-Jun Zha:
MGAW: An Effective Method for Geo-localization in Adverse Weather. UAVM 2024: 19-23 - [c32]Fanrui Zhang, Jiawei Liu, Jingyi Xie, Qiang Zhang, Yongchao Xu, Zheng-Jun Zha:
ESCNet: Entity-enhanced and Stance Checking Network for Multi-modal Fact-Checking. WWW 2024: 2429-2440 - [i35]Haoyu Zhao, Yuliang Gu, Zhou Zhao, Bo Du, Yongchao Xu, Rui Yu:
WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising. CoRR abs/2403.11672 (2024) - [i34]Haoyu Zhao, Wenhui Dong, Rui Yu, Zhou Zhao, Bo Du, Yongchao Xu:
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation. CoRR abs/2403.11689 (2024) - [i33]Guoping Xu, Xiaxia Wang, Xinglong Wu, Xuesong Leng, Yongchao Xu:
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey. CoRR abs/2405.01725 (2024) - [i32]Zhichao Sun, Yuliang Gu, Yepeng Liu, Zerui Zhang, Zhou Zhao, Yongchao Xu:
Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays. CoRR abs/2405.11976 (2024) - [i31]Zerui Zhang, Zhichao Sun, Zelong Liu, Bo Du, Rui Yu, Zhou Zhao, Yongchao Xu:
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image. CoRR abs/2405.12872 (2024) - [i30]Haoyu Zhao, Xingyue Zhao, Lingting Zhu, Weixi Zheng, Yongchao Xu:
HFGS: 4D Gaussian Splatting with Emphasis on Spatial and Temporal High-Frequency Components for Endoscopic Scene Reconstruction. CoRR abs/2405.17872 (2024) - [i29]Yepeng Liu, Baosheng Yu, Tian Chen, Yuliang Gu, Bo Du, Yongchao Xu, Jun Cheng:
Progressive Retinal Image Registration via Global and Local Deformable Transformations. CoRR abs/2409.01068 (2024) - [i28]Zhikai Wei, Wenhui Dong, Peilin Zhou, Yuliang Gu, Zhou Zhao, Yongchao Xu:
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation. CoRR abs/2409.12522 (2024) - [i27]Wenhui Dong, Bo Du, Yongchao Xu:
Shape-intensity knowledge distillation for robust medical image segmentation. CoRR abs/2409.17503 (2024) - [i26]Yuliang Gu, Yepeng Liu, Zhichao Sun, Jinchi Zhu, Yongchao Xu, Laurent Najman:
Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation. CoRR abs/2410.14210 (2024) - [i25]Peilin Zhou, Bo Du, Yongchao Xu:
CellSeg1: Robust Cell Segmentation with One Training Image. CoRR abs/2412.01410 (2024) - 2023
- [j23]Shuang Gao, Yun Dai, Yongchao Xu, Jinyin Chen, Yi Liu:
Generative adversarial network-assisted image classification for imbalanced tire X-ray defect detection. Trans. Inst. Meas. Control 45(8): 1492-1504 (2023) - [c31]Chang Liu, Yong Luo, Yongchao Xu, Bo Du:
FedARC: Federated Learning for Multi-Center Tuberculosis Chest X-ray Diagnosis with Adaptive Regularizing Contrastive Representation. BIBM 2023: 2125-2128 - [c30]Yansheng Qiu, Delin Chen, Hongdou Yao, Yongchao Xu, Zheng Wang:
Scratch Each Other's Back: Incomplete Multi-modal Brain Tumor Segmentation Via Category Aware Group Self-Support Learning. ICCV 2023: 21260-21269 - [c29]Zhihao Li, Jiancheng Yang, Yongchao Xu, Li Zhang, Wenhui Dong, Bo Du:
Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation. MICCAI (3) 2023: 681-691 - [i24]Xin Xiao, Daiguo Zhou, Jiagao Hu, Yi Hu, Yongchao Xu:
Not All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation. CoRR abs/2305.08462 (2023) - [i23]Zhihao Li, Jiancheng Yang, Yongchao Xu, Li Zhang, Wenhui Dong, Bo Du:
Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation. CoRR abs/2307.15645 (2023) - [i22]Yuda Zou, Xin Xiao, Peilin Zhou, Zhichao Sun, Bo Du, Yongchao Xu:
Noised Autoencoders for Point Annotation Restoration in Object Counting. CoRR abs/2312.07190 (2023) - [i21]Yuliang Gu, Zhichao Sun, Xin Xiao, Yuda Zou, Zelong Liu, Yongchao Xu:
Dual Structure-Preserving Image Filterings for Semi-supervised Medical Image Segmentation. CoRR abs/2312.07264 (2023) - 2022
- [j22]Chenfeng Xu, Dingkang Liang, Yongchao Xu, Song Bai, Wei Zhan, Xiang Bai, Masayoshi Tomizuka:
AutoScale: Learning to Scale for Crowd Counting. Int. J. Comput. Vis. 130(2): 405-434 (2022) - [j21]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 Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia:
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 4(4): 413 (2022) - [j20]Tianyi Shi, Nicolas Boutry, Yongchao Xu, Thierry Géraud:
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation. IEEE Trans. Image Process. 31: 2557-2569 (2022) - [j19]Yajie Chen, Dingkang Liang, Xiang Bai, Yongchao Xu, Xin Yang:
Cell Localization and Counting Using Direction Field Map. IEEE J. Biomed. Health Informatics 26(1): 359-368 (2022) - [c28]Qian Tang, Bo Du, Yongchao Xu:
Self-supervised Learning Based on Max-tree Representation for Medical Image Segmentation. IJCNN 2022: 1-6 - [c27]Yuxuan Xiong, Bo Du, Yongchao Xu, Jiajun Deng, Yunlang She, Chang Chen:
Pulmonary Nodule Classification with Multi-View Convolutional Vision Transformer. IJCNN 2022: 1-7 - [i20]Tianyi Shi, Nicolas Boutry, Yongchao Xu, Thierry Géraud:
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation. CoRR abs/2202.12587 (2022) - 2021
- [j18]Yongchao Xu, Yukang Wang, Stavros Tsogkas, Jianqiang Wan, Xiang Bai, Sven J. Dickinson, Kaleem Siddiqi:
DeepFlux for Skeleton Detection in the Wild. Int. J. Comput. Vis. 129(4): 1323-1339 (2021) - [j17]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 Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia:
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 3(12): 1081-1089 (2021) - [j16]Yongchao Xu, Mingtao Fu, Qimeng Wang, Yukang Wang, Kai Chen, Gui-Song Xia, Xiang Bai:
Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1452-1459 (2021) - [j15]Yun Xiang, Yongchao Xu, Yingjie Li, Wen Ma, Qi Xuan, Yi Liu:
Side-Channel Gray-Box Attack for DNNs. IEEE Trans. Circuits Syst. II Express Briefs 68(1): 501-505 (2021) - [j14]Wei Zhou, Yukang Wang, Jiajia Chu, Jiehua Yang, Xiang Bai, Yongchao Xu:
Affinity Space Adaptation for Semantic Segmentation Across Domains. IEEE Trans. Image Process. 30: 2549-2561 (2021) - [i19]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. CoRR abs/2107.08766 (2021) - [i18]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 Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola-Bibiane Schönlieb, Tian Xia:
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. CoRR abs/2111.09461 (2021) - 2020
- [j13]Xiang Bai, Mingkun Yang, Tengteng Huang, Zhiyong Dou, Rui Yu, Yongchao Xu:
Deep-Person: Learning discriminative deep features for person Re-Identification. Pattern Recognit. 98 (2020) - [c26]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: 12160-12167 - [c25]Jianqiang Wan, Yang Liu, Donglai Wei, Xiang Bai, Yongchao Xu:
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation. CVPR 2020: 9250-9259 - [c24]Yukang Wang, Wei Zhou, Tao Jiang, Xiang Bai, Yongchao Xu:
Intra-class Feature Variation Distillation for Semantic Segmentation. ECCV (7) 2020: 346-362 - [c23]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. ECCV Workshops (4) 2020: 675-691 - [c22]Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai:
AutoSTR: Efficient Backbone Search for Scene Text Recognition. ECCV (24) 2020: 751-767 - [c21]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 (4) 2020: 108-117 - [c20]Jiajia Chu, Yajie Chen, Wei Zhou, Heshui Shi, Yukun Cao, Dandan Tu, Ri-Chu Jin, Yongchao Xu:
Pay More Attention to Discontinuity for Medical Image Segmentation. MICCAI (4) 2020: 166-175 - [i17]Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai:
Efficient Backbone Search for Scene Text Recognition. CoRR abs/2003.06567 (2020) - [i16]Jianqiang Wan, Yang Liu, Donglai Wei, Xiang Bai, Yongchao Xu:
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation. CoRR abs/2006.00303 (2020) - [i15]Feng Cheng, Cheng Chen, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu:
Learning Directional Feature Maps for Cardiac MRI Segmentation. CoRR abs/2007.11349 (2020) - [i14]Wei Zhou, Yukang Wang, Jiajia Chu, Jiehua Yang, Xiang Bai, Yongchao Xu:
Affinity Space Adaptation for Semantic Segmentation Across Domains. CoRR abs/2009.12559 (2020)
2010 – 2019
- 2019
- [j12]Tengteng Huang, Yongchao Xu, Song Bai, Yongpan Wang, Xiang Bai:
Feature context learning for human parsing. Sci. China Inf. Sci. 62(12): 220101 (2019) - [j11]Jun Tang, Zhibo Yang, Yongpan Wang, Qi Zheng, Yongchao Xu, Xiang Bai:
SegLink++: Detecting Dense and Arbitrary-shaped Scene Text by Instance-aware Component Grouping. Pattern Recognit. 96 (2019) - [j10]Yongchao Xu, Yukang Wang, Wei Zhou, Yongpan Wang, Zhibo Yang, Xiang Bai:
TextField: Learning a Deep Direction Field for Irregular Scene Text Detection. IEEE Trans. Image Process. 28(11): 5566-5579 (2019) - [j9]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, Dinggang Shen:
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging 38(9): 2219-2230 (2019) - [j8]Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38(11): 2556-2568 (2019) - [c19]Yukang Wang, Yongchao Xu, Stavros Tsogkas, Xiang Bai, Sven J. Dickinson, Kaleem Siddiqi:
DeepFlux for Skeletons in the Wild. CVPR 2019: 5287-5296 - [c18]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: 8381-8389 - [c17]Yongchao Xu, Qizheng Yang, Chaoran Cui, Cheng Shi, Guangle Song, Xiaohui Han, Yilong Yin:
Visual Urban Perception with Deep Semantic-Aware Network. MMM (2) 2019: 28-40 - [i13]Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR abs/1904.00682 (2019) - [i12]Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai:
Learn to Scale: Generating Multipolar Normalized Density Map for Crowd Counting. CoRR abs/1907.12428 (2019) - [i11]Yongchao Xu, Mingtao Fu, Qimeng Wang, Yukang Wang, Kai Chen, Gui-Song Xia, Xiang Bai:
Gliding vertex on the horizontal bounding box for multi-oriented object detection. CoRR abs/1911.09358 (2019) - [i10]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. CoRR abs/1911.09550 (2019) - [i9]Chenfeng Xu, Dingkang Liang, Yongchao Xu, Song Bai, Wei Zhan, Masayoshi Tomizuka, Xiang Bai:
AutoScale: Learning to Scale for Crowd Counting. CoRR abs/1912.09632 (2019) - 2018
- [j7]Xiang Bai, Mingkun Yang, Pengyuan Lyu, Yongchao Xu, Jiebo Luo:
Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification. IEEE Access 6: 66322-66335 (2018) - [j6]Yongchao Xu, Baptiste Morel, Sonia Dahdouh, Élodie Puybareau, Alessio Virzi, Hélène Urien, Thierry Géraud, Catherine Adamsbaum, Isabelle Bloch:
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 Anal. 48: 75-94 (2018) - [c16]Rui Yu, Zhiyong Dou, Song Bai, Zhaoxiang Zhang, Yongchao Xu, Xiang Bai:
Hard-Aware Point-to-Set Deep Metric for Person Re-identification. ECCV (16) 2018: 196-212 - [c15]Élodie Puybareau, Zhou Zhao, Younes Khoudli, Edwin Carlinet, Yongchao Xu, Jérôme Lacotte, Thierry Géraud:
Left Atrial Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning. STACOM@MICCAI 2018: 339-347 - [c14]Huihui Liu, Chaoran Cui, Yuling Ma, Cheng Shi, Yongchao Xu, Yilong Yin:
Image Aesthetics Assessment Based on User Social Behavior. PCM (1) 2018: 755-766 - [i8]Rui Yu, Zhiyong Dou, Song Bai, Zhaoxiang Zhang, Yongchao Xu, Xiang Bai:
Hard-Aware Point-to-Set Deep Metric for Person Re-identification. CoRR abs/1807.11206 (2018) - [i7]Yukang Wang, Yongchao Xu, Stavros Tsogkas, Xiang Bai, Sven J. Dickinson, Kaleem Siddiqi:
DeepFlux for Skeletons in the Wild. CoRR abs/1811.12608 (2018) - [i6]Yongchao Xu, Yukang Wang, Wei Zhou, Yongpan Wang, Zhibo Yang, Xiang Bai:
TextField: Learning A Deep Direction Field for Irregular Scene Text Detection. CoRR abs/1812.01393 (2018) - 2017
- [j5]Yongchao Xu, Edwin Carlinet, Thierry Géraud, Laurent Najman:
Hierarchical Segmentation Using Tree-Based Shape Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 457-469 (2017) - [c13]Kamlesh, Pei Xu, Yang Yang, Yongchao Xu:
Person Re-identification with End-to-End Scene Text Recognition. CCCV (3) 2017: 363-374 - [c12]Yongchao Xu, Thierry Géraud, Isabelle Bloch:
From neonatal to adult brain MR image segmentation in a few seconds using 3D-like fully convolutional network and transfer learning. ICIP 2017: 4417-4421 - [c11]Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry:
Introducing the Dahu Pseudo-Distance. ISMM 2017: 55-67 - [c10]Lê Duy Huynh, Yongchao Xu, Thierry Géraud:
Morphological Hierarchical Image Decomposition Based on Laplacian 0-Crossings. ISMM 2017: 159-171 - [c9]Yongchao Xu, Thierry Géraud, Élodie Puybareau, Isabelle Bloch, Joseph Chazalon:
White Matter Hyperintensities Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning. BrainLes@MICCAI 2017: 501-514 - [i5]Xiang Bai, Mingkun Yang, Pengyuan Lyu, Yongchao Xu:
Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification with Convolutional Neural Networks. CoRR abs/1704.04613 (2017) - [i4]Xiaofan Xu, Shaofang Hong, Yongchao Xu:
On deep holes of generalized projective Reed-Solomon codes. CoRR abs/1705.07823 (2017) - [i3]Xiang Bai, Mingkun Yang, Tengteng Huang, Zhiyong Dou, Rui Yu, Yongchao Xu:
Deep-Person: Learning Discriminative Deep Features for Person Re-Identification. CoRR abs/1711.10658 (2017) - 2016
- [j4]Yi Wang, Shuangshuang Wang, Dongjie Zhou, Shuai Yang, Yongchao Xu, Chao Yang, Long Yang:
CsSNP: A Web-Based Tool for the Detecting of Comparative Segments SNPs. J. Comput. Biol. 23(7): 597-602 (2016) - [j3]Yongchao Xu, Thierry Géraud, Laurent Najman:
Connected Filtering on Tree-Based Shape-Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1126-1140 (2016) - [j2]Yongchao Xu, Thierry Géraud, Laurent Najman:
Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selection. Pattern Recognit. Lett. 83: 278-286 (2016) - [c8]Baptiste Morel, Yongchao Xu, Alessio Virzi, Thierry Géraud, Catherine Adamsbaum, Isabelle Bloch:
A challenging issue: Detection of white matter hyperintensities in neonatal brain MRI. EMBC 2016: 93-96 - [c7]Lê Duy Huynh, Yongchao Xu, Thierry Géraud:
Morphology-based hierarchical representation with application to text segmentation in natural images. ICPR 2016: 4029-4034 - [i2]Yongchao Xu, Thierry Géraud, Laurent Najman:
Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selection. CoRR abs/1603.04838 (2016) - 2015
- [c6]Yongchao Xu, Edwin Carlinet, Thierry Géraud, Laurent Najman:
Efficient Computation of Attributes and Saliency Maps on Tree-Based Image Representations. ISMM 2015: 693-704 - 2014
- [j1]Yongchao Xu, Pascal Monasse, Thierry Géraud, Laurent Najman:
Tree-Based Morse Regions: A Topological Approach to Local Feature Detection. IEEE Trans. Image Process. 23(12): 5612-5625 (2014) - [c5]Yongchao Xu, Edwin Carlinet, Thierry Géraud, Laurent Najman:
Meaningful disjoint level lines selection. ICIP 2014: 2938-2942 - 2013
- [b1]Yongchao Xu:
Tree-based shape spaces : definition and applications in image processing and computer vision. (Espaces de formes basés sur des arbres : définition et applications en traitement d'images et vision par ordinateur). University of Paris-Est, France, 2013 - [c4]Yongchao Xu, Thierry Géraud, Laurent Najman:
Salient level lines selection using the Mumford-Shah functional. ICIP 2013: 1227-1231 - [c3]Yongchao Xu, Thierry Géraud, Laurent Najman:
Two Applications of Shape-Based Morphology: Blood Vessels Segmentation and a Generalization of Constrained Connectivity. ISMM 2013: 390-401 - 2012
- [c2]Yongchao Xu, Thierry Géraud, Laurent Najman:
Context-based energy estimator: Application to object segmentation on the tree of shapes. ICIP 2012: 1577-1580 - [c1]Yongchao Xu, Thierry Géraud, Laurent Najman:
Morphological filtering in shape spaces: Applications using tree-based image representations. ICPR 2012: 485-488 - [i1]Yongchao Xu, Thierry Géraud, Laurent Najman:
Morphological Filtering in Shape Spaces: Applications using Tree-Based Image Representations. CoRR abs/1204.4758 (2012)
Coauthor Index
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