Yongchao Xu

According to our database, Yongchao Xu authored at least 84 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

HPFL: hyper-network guided personalized federated learning for multi-center tuberculosis chest x-ray diagnosis.

Chang Liu, Yong Luo, Yongchao Xu, Bo Du

Multim. Tools Appl., September, 2024

Foundation models matter: federated learning for multi-center tuberculosis diagnosis via adaptive regularization and model-contrastive learning.

Chang Liu, Yong Luo, Yongchao Xu, Bo Du

World Wide Web (WWW), May, 2024

Edge-and-Mask Integration-Driven Diffusion Models for Medical Image Segmentation.

Qian Tang, Qikui Zhu, Yuxuan Xiong, Yongchao Xu, Bo Du

IEEE Signal Process. Lett., 2024

Query-guided generalizable medical image segmentation.

Zhiyi Yang, Zhou Zhao, Yuliang Gu, Yongchao Xu

Pattern Recognit. Lett., 2024

Distilling OCT cervical dataset with evidential uncertainty proxy.

Yuxuan Xiong, Yongchao Xu, Yan Zhang, Bo Du

Image Vis. Comput., 2024

Nighttime image semantic segmentation with retinex theory.

Zhichao Sun, Huachao Zhu, Xin Xiao, Yuliang Gu, Yongchao Xu

Image Vis. Comput., 2024

Source domain prior-assisted segment anything model for single domain generalization in medical image segmentation.

Wenhui Dong, Bo Du, Yongchao Xu

Image Vis. Comput., 2024

Shape-intensity-guided U-net for medical image segmentation.

Wenhui Dong, Bo Du, Yongchao Xu

Neurocomputing, 2024

Shape-intensity knowledge distillation for robust medical image segmentation.

Wenhui Dong, Bo Du, Yongchao Xu

CoRR, 2024

Progressive Retinal Image Registration via Global and Local Deformable Transformations.

Yepeng Liu, Baosheng Yu, Tian Chen, Yuliang Gu, Bo Du, Yongchao Xu, Jun Cheng

CoRR, 2024

HFGS: 4D Gaussian Splatting with Emphasis on Spatial and Temporal High-Frequency Components for Endoscopic Scene Reconstruction.

Haoyu Zhao, Xingyue Zhao, Lingting Zhu, Weixi Zheng, Yongchao Xu

CoRR, 2024

Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey.

Guoping Xu, Xiaxia Wang, Xinglong Wu, Xuesong Leng, Yongchao Xu

CoRR, 2024

ESCNet: Entity-enhanced and Stance Checking Network for Multi-modal Fact-Checking.

Fanrui Zhang, Jiawei Liu, Jingyi Xie, Qiang Zhang, Yongchao Xu, Zheng-Jun Zha

Proceedings of the ACM on Web Conference 2024, 2024

MGAW: An Effective Method for Geo-localization in Adverse Weather.

Xingbo Wang, Yongchao Xu, Xueyang Fu, Zheng-Jun Zha

Proceedings of the 2nd Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, 2024

A Generalized Contrast-Adjustment Guided Growth Method for Medical Image Segmentation.

Qian Tang, Qikui Zhu, Yongchao Xu, Bo Du

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

WIA-LD2ND: Wavelet-Based Image Alignment for Self-supervised Low-Dose CT Denoising.

Haoyu Zhao, Yuliang Gu, Zhou Zhao, Bo Du, Yongchao Xu, Rui Yu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

MoreStyle: Relax Low-Frequency Constraint of Fourier-Based Image Reconstruction in Generalizable Medical Image Segmentation.

Haoyu Zhao, Wenhui Dong, Rui Yu, Zhou Zhao, Bo Du, Yongchao Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Spatial-Aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image.

Zerui Zhang, Zhichao Sun, Zelong Liu, Zhou Zhao, Rui Yu, Bo Du, Yongchao Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation.

Zhikai Wei, Wenhui Dong, Peilin Zhou, Yuliang Gu, Zhou Zhao, Yongchao Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays.

Zhichao Sun, Yuliang Gu, Yepeng Liu, Zerui Zhang, Zhou Zhao, Yongchao Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Shifted Autoencoders for Point Annotation Restoration in Object Counting.

Yuda Zou, Xin Xiao, Peilin Zhou, Zhichao Sun, Bo Du, Yongchao Xu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Generative adversarial network-assisted image classification for imbalanced tire X-ray defect detection.

Shuang Gao, Yun Dai, Yongchao Xu, Jinyin Chen, Yi Liu

Trans. Inst. Meas. Control, May, 2023

Dual Structure-Preserving Image Filterings for Semi-supervised Medical Image Segmentation.

Yuliang Gu, Zhichao Sun, Xin Xiao, Yuda Zou, Zelong Liu, Yongchao Xu

CoRR, 2023

Noised Autoencoders for Point Annotation Restoration in Object Counting.

Yuda Zou, Xin Xiao, Peilin Zhou, Zhichao Sun, Bo Du, Yongchao Xu

CoRR, 2023

Not All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation.

Xin Xiao, Daiguo Zhou, Jiagao Hu, Yi Hu, Yongchao Xu

CoRR, 2023

Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation.

Zhihao Li, Jiancheng Yang, Yongchao Xu, Li Zhang, Wenhui Dong, Bo Du

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Scratch Each Other's Back: Incomplete Multi-modal Brain Tumor Segmentation Via Category Aware Group Self-Support Learning.

Yansheng Qiu, Delin Chen, Hongdou Yao, Yongchao Xu, Zheng Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FedARC: Federated Learning for Multi-Center Tuberculosis Chest X-ray Diagnosis with Adaptive Regularizing Contrastive Representation.

Chang Liu, Yong Luo, Yongchao Xu, Bo Du

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Cell Localization and Counting Using Direction Field Map.

Yajie Chen, Dingkang Liang, Xiang Bai, Yongchao Xu, Xin Yang

IEEE J. Biomed. Health Informatics, 2022

Local Intensity Order Transformation for Robust Curvilinear Object Segmentation.

Tianyi Shi, Nicolas Boutry, Yongchao Xu, Thierry Géraud

IEEE Trans. Image Process., 2022

Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.

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

Nat. Mach. Intell., 2022

AutoScale: Learning to Scale for Crowd Counting.

Chenfeng Xu, Dingkang Liang, Yongchao Xu, Song Bai, Wei Zhan, Xiang Bai, Masayoshi Tomizuka

Int. J. Comput. Vis., 2022

Pulmonary Nodule Classification with Multi-View Convolutional Vision Transformer.

Yuxuan Xiong, Bo Du, Yongchao Xu, Jiajun Deng, Yunlang She, Chang Chen

Proceedings of the International Joint Conference on Neural Networks, 2022

Self-supervised Learning Based on Max-tree Representation for Medical Image Segmentation.

Qian Tang, Bo Du, Yongchao Xu

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Affinity Space Adaptation for Semantic Segmentation Across Domains.

Wei Zhou, Yukang Wang, Jiajia Chu, Jiehua Yang, Xiang Bai, Yongchao Xu

IEEE Trans. Image Process., 2021

Side-Channel Gray-Box Attack for DNNs.

Yun Xiang, Yongchao Xu, Yingjie Li, Wen Ma, Qi Xuan, Yi Liu

IEEE Trans. Circuits Syst. II Express Briefs, 2021

Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection.

Yongchao Xu, Mingtao Fu, Qimeng Wang, Yukang Wang, Kai Chen, Gui-Song Xia, Xiang Bai

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.

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

Nat. Mach. Intell., 2021

DeepFlux for Skeleton Detection in the Wild.

Yongchao Xu, Yukang Wang, Stavros Tsogkas, Jianqiang Wan, Xiang Bai, Sven J. Dickinson, Kaleem Siddiqi

Int. J. Comput. Vis., 2021

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence.

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

CoRR, 2021

2020

Deep-Person: Learning discriminative deep features for person Re-Identification.

Xiang Bai, Mingkun Yang, Tengteng Huang, Zhiyong Dou, Rui Yu, Yongchao Xu

Pattern Recognit., 2020

Efficient Backbone Search for Scene Text Recognition.

Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai

CoRR, 2020

Pay More Attention to Discontinuity for Medical Image Segmentation.

Jiajia Chu, Yajie Chen, Wei Zhou, Heshui Shi, Yukun Cao, Dandan Tu, Ri-Chu Jin, Yongchao Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning Directional Feature Maps for Cardiac MRI Segmentation.

Feng Cheng, Cheng Chen, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

AutoSTR: Efficient Backbone Search for Scene Text Recognition.

Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai

Proceedings of the Computer Vision - ECCV 2020, 2020

Intra-class Feature Variation Distillation for Semantic Segmentation.

Yukang Wang, Wei Zhou, Tao Jiang, Xiang Bai, Yongchao Xu

Proceedings of the Computer Vision - ECCV 2020, 2020

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results.

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

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation.

Jianqiang Wan, Yang Liu, Donglai Wei, Xiang Bai, Yongchao Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting.

Hao Wang, Pu Lu, Hui Zhang, Mingkun Yang, Xiang Bai, Yongchao Xu, Mengchao He, Yongpan Wang, Wenyu Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.

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

IEEE Trans. Medical Imaging, 2019

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.

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

IEEE Trans. Medical Imaging, 2019

TextField: Learning a Deep Direction Field for Irregular Scene Text Detection.

Yongchao Xu, Yukang Wang, Wei Zhou, Yongpan Wang, Zhibo Yang, Xiang Bai

IEEE Trans. Image Process., 2019

SegLink++: Detecting Dense and Arbitrary-shaped Scene Text by Instance-aware Component Grouping.

Jun Tang, Zhibo Yang, Yongpan Wang, Qi Zheng, Yongchao Xu, Xiang Bai

Pattern Recognit., 2019

Learn to Scale: Generating Multipolar Normalized Density Map for Crowd Counting.

Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai

CoRR, 2019

Feature context learning for human parsing.

Tengteng Huang, Yongchao Xu, Song Bai, Yongpan Wang, Xiang Bai

Sci. China Inf. Sci., 2019

Visual Urban Perception with Deep Semantic-Aware Network.

Yongchao Xu, Qizheng Yang, Chaoran Cui, Cheng Shi, Guangle Song, Xiaohui Han, Yilong Yin

Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting.

Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

DeepFlux for Skeletons in the Wild.

Yukang Wang, Yongchao Xu, Stavros Tsogkas, Xiang Bai, Sven J. Dickinson, Kaleem Siddiqi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

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.

Yongchao Xu, Baptiste Morel, Sonia Dahdouh, Élodie Puybareau, Alessio Virzi, Hélène Urien, Thierry Géraud, Catherine Adamsbaum, Isabelle Bloch

Medical Image Anal., 2018

Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification.

Xiang Bai, Mingkun Yang, Pengyuan Lyu, Yongchao Xu, Jiebo Luo

IEEE Access, 2018

Image Aesthetics Assessment Based on User Social Behavior.

Huihui Liu, Chaoran Cui, Yuling Ma, Cheng Shi, Yongchao Xu, Yilong Yin

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Left Atrial Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning.

Élodie Puybareau, Zhou Zhao, Younes Khoudli, Edwin Carlinet, Yongchao Xu, Jérôme Lacotte, Thierry Géraud

Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

Hard-Aware Point-to-Set Deep Metric for Person Re-identification.

Rui Yu, Zhiyong Dou, Song Bai, Zhaoxiang Zhang, Yongchao Xu, Xiang Bai

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Hierarchical Segmentation Using Tree-Based Shape Spaces.

Yongchao Xu, Edwin Carlinet, Thierry Géraud, Laurent Najman

IEEE Trans. Pattern Anal. Mach. Intell., 2017

On deep holes of generalized projective Reed-Solomon codes.

Xiaofan Xu, Shaofang Hong, Yongchao Xu

CoRR, 2017

Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification with Convolutional Neural Networks.

Xiang Bai, Mingkun Yang, Pengyuan Lyu, Yongchao Xu

CoRR, 2017

White Matter Hyperintensities Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning.

Yongchao Xu, Thierry Géraud, Élodie Puybareau, Isabelle Bloch, Joseph Chazalon

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Morphological Hierarchical Image Decomposition Based on Laplacian 0-Crossings.

Lê Duy Huynh, Yongchao Xu, Thierry Géraud

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2017

Introducing the Dahu Pseudo-Distance.

Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2017

From neonatal to adult brain MR image segmentation in a few seconds using 3D-like fully convolutional network and transfer learning.

Yongchao Xu, Thierry Géraud, Isabelle Bloch

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Person Re-identification with End-to-End Scene Text Recognition.

Kamlesh, Pei Xu, Yang Yang, Yongchao Xu

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016

Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selection.

Yongchao Xu, Thierry Géraud, Laurent Najman

Pattern Recognit. Lett., 2016

Connected Filtering on Tree-Based Shape-Spaces.

Yongchao Xu, Thierry Géraud, Laurent Najman

IEEE Trans. Pattern Anal. Mach. Intell., 2016

CsSNP: A Web-Based Tool for the Detecting of Comparative Segments SNPs.

Yi Wang, Shuangshuang Wang, Dongjie Zhou, Shuai Yang, Yongchao Xu, Chao Yang, Long Yang

J. Comput. Biol., 2016

Morphology-based hierarchical representation with application to text segmentation in natural images.

Lê Duy Huynh, Yongchao Xu, Thierry Géraud

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A challenging issue: Detection of white matter hyperintensities in neonatal brain MRI.

Baptiste Morel, Yongchao Xu, Alessio Virzi, Thierry Géraud, Catherine Adamsbaum, Isabelle Bloch

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Efficient Computation of Attributes and Saliency Maps on Tree-Based Image Representations.

Yongchao Xu, Edwin Carlinet, Thierry Géraud, Laurent Najman

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

2014

Tree-Based Morse Regions: A Topological Approach to Local Feature Detection.

Yongchao Xu, Pascal Monasse, Thierry Géraud, Laurent Najman

IEEE Trans. Image Process., 2014

Meaningful disjoint level lines selection.

Yongchao Xu, Edwin Carlinet, Thierry Géraud, Laurent Najman

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

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).

Yongchao Xu

PhD thesis, 2013

Two Applications of Shape-Based Morphology: Blood Vessels Segmentation and a Generalization of Constrained Connectivity.

Yongchao Xu, Thierry Géraud, Laurent Najman

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2013

Salient level lines selection using the Mumford-Shah functional.

Yongchao Xu, Thierry Géraud, Laurent Najman

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Morphological filtering in shape spaces: Applications using tree-based image representations.

Yongchao Xu, Thierry Géraud, Laurent Najman

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Context-based energy estimator: Application to object segmentation on the tree of shapes.

Yongchao Xu, Thierry Géraud, Laurent Najman

Proceedings of the 19th IEEE International Conference on Image Processing, 2012