Context-based energy estimator: Application to object segmentation on the tree of shapes. - Yongchao Xu; Thierry Géraud; Laurent Najman (ICIP, 2012)

Morphological filtering in shape spaces: Applications using tree-based image representations. - Yongchao Xu; Thierry Géraud; Laurent Najman (ICPR, 2012)

Salient level lines selection using the Mumford-Shah functional. - Yongchao Xu; Thierry Géraud; Laurent Najman (ICIP, 2013)

Two Applications of Shape-Based Morphology: Blood Vessels Segmentation and a Generalization of Constrained Connectivity. - Yongchao Xu; Thierry Géraud; Laurent Najman (ISMM, 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 (2013)

Meaningful disjoint level lines selection. - Yongchao Xu; Edwin Carlinet; Thierry Géraud; Laurent Najman (ICIP, 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)

Efficient Computation of Attributes and Saliency Maps on Tree-Based Image Representations. - Yongchao Xu; Edwin Carlinet; Thierry Géraud; Laurent Najman (ISMM, 2015)

A challenging issue: Detection of white matter hyperintensities in neonatal brain MRI. - Baptiste Morel; Yongchao Xu; Alessio Virzi; Thierry Géraud; Catherine Adamsbaum; Isabelle Bloch (EMBC, 2016)

Morphology-based hierarchical representation with application to text segmentation in natural images. - Lê Duy Huynh; Yongchao Xu; Thierry Géraud (ICPR, 2016)

CsSNP: A Web-Based Tool for the Detecting of Comparative Segments SNPs. - Yi Wang 155; Shuangshuang Wang; Dongjie Zhou; Shuai Yang; Yongchao Xu; Chao Yang; Long Yang 003 (J. Comput. Biol., 2016)

Connected Filtering on Tree-Based Shape-Spaces. - Yongchao Xu; Thierry Géraud; Laurent Najman (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selection. - Yongchao Xu; Thierry Géraud; Laurent Najman (Pattern Recognit. Lett., 2016)

Person Re-identification with End-to-End Scene Text Recognition. - Kamlesh; Pei Xu; Yang Yang; Yongchao Xu (CCCV (3), 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 (ICIP, 2017)

Introducing the Dahu Pseudo-Distance. - Thierry Géraud; Yongchao Xu; Edwin Carlinet; Nicolas Boutry (ISMM, 2017)

Morphological Hierarchical Image Decomposition Based on Laplacian 0-Crossings. - Lê Duy Huynh; Yongchao Xu; Thierry Géraud (ISMM, 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 (BrainLes@MICCAI, 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)

On deep holes of generalized projective Reed-Solomon codes. - Xiaofan Xu; Shaofang Hong; Yongchao Xu (CoRR, 2017)

Hierarchical Segmentation Using Tree-Based Shape Spaces. - Yongchao Xu; Edwin Carlinet; Thierry Géraud; Laurent Najman (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Hard-Aware Point-to-Set Deep Metric for Person Re-identification. - Rui Yu 002; Zhiyong Dou; Song Bai 001; Zhaoxiang Zhang 001; Yongchao Xu; Xiang Bai (ECCV (16), 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 (STACOM@MICCAI, 2018)

Image Aesthetics Assessment Based on User Social Behavior. - Huihui Liu; Chaoran Cui; Yuling Ma; Cheng Shi; Yongchao Xu; Yilong Yin (PCM (1), 2018)

Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification. - Xiang Bai; Mingkun Yang; Pengyuan Lyu; Yongchao Xu; Jiebo Luo 001 (IEEE Access, 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)

DeepFlux for Skeletons in the Wild. - Yukang Wang; Yongchao Xu; Stavros Tsogkas; Xiang Bai; Sven J. Dickinson; Kaleem Siddiqi (CVPR, 2019)

Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting. - Chenfeng Xu; Kai Qiu 001; Jianlong Fu; Song Bai 001; Yongchao Xu; Xiang Bai (ICCV, 2019)

Visual Urban Perception with Deep Semantic-Aware Network. - Yongchao Xu; Qizheng Yang; Chaoran Cui; Cheng Shi; Guangle Song; Xiaohui Han; Yilong Yin (MMM (2), 2019)

Feature context learning for human parsing. - Tengteng Huang; Yongchao Xu; Song Bai 001; Yongpan Wang; Xiang Bai (Sci. China Inf. Sci., 2019)

Learn to Scale: Generating Multipolar Normalized Density Map for Crowd Counting. - Chenfeng Xu; Kai Qiu 001; Jianlong Fu; Song Bai 001; Yongchao Xu; Xiang Bai (CoRR, 2019)

SegLink++: Detecting Dense and Arbitrary-shaped Scene Text by Instance-aware Component Grouping. - Jun Tang 008; Zhibo Yang 003; Yongpan Wang; Qi Zheng 002; Yongchao Xu; Xiang Bai (Pattern Recognit., 2019)

TextField: Learning a Deep Direction Field for Irregular Scene Text Detection. - Yongchao Xu; Yukang Wang; Wei Zhou; Yongpan Wang; Zhibo Yang 003; Xiang Bai (IEEE Trans. Image Process., 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 004; Xavier Lladó; J. Matthijs Biesbroek; et al. (IEEE Trans. Medical Imaging, 2019)

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. - Li Wang 026; Dong Nie; Guannan Li; Élodie Puybareau; Jose Dolz; Qian Zhang 066; Fan Wang 023; Jing Xia; Zhengwang Wu; Jiawei Chen 001; Kim-Han Thung; Toan Duc Bui; et al. (IEEE Trans. Medical Imaging, 2019)

All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting. - Hao Wang 207; Pu Lu; Hui Zhang 085; Mingkun Yang; Xiang Bai; Yongchao Xu; Mengchao He; Yongpan Wang; Wenyu Liu 001 (AAAI, 2020)

Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation. - Jianqiang Wan; Yang Liu 271; Donglai Wei 001; Xiang Bai; Yongchao Xu (CVPR, 2020)

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. - Dawei Du; Longyin Wen; Pengfei Zhu 001; Heng Fan 001; Qinghua Hu; Haibin Ling; Mubarak Shah; Junwen Pan; Ali Al-Ali; Amr Mohamed 001; Bakour Imene; Bin Dong 006; et al. (ECCV Workshops (4), 2020)

Intra-class Feature Variation Distillation for Semantic Segmentation. - Yukang Wang; Wei Zhou; Tao Jiang 002; Xiang Bai; Yongchao Xu (ECCV (7), 2020)

AutoSTR: Efficient Backbone Search for Scene Text Recognition. - Hui Zhang 085; Quanming Yao; Mingkun Yang; Yongchao Xu; Xiang Bai (ECCV (24), 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 (MICCAI (4), 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 (MICCAI (4), 2020)

Efficient Backbone Search for Scene Text Recognition. - Hui Zhang 085; Quanming Yao; Mingkun Yang; Yongchao Xu; Xiang Bai (CoRR, 2020)

Deep-Person: Learning discriminative deep features for person Re-Identification. - Xiang Bai; Mingkun Yang; Tengteng Huang; Zhiyong Dou; Rui Yu 002; Yongchao Xu (Pattern Recognit., 2020)

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. - Xiang Bai; Hanchen Wang 002; Liya Ma; Yongchao Xu; Jiefeng Gan; Ziwei Fan 005; Fan Yang 038; Ke Ma; Jiehua Yang; Song Bai 001; Chang Shu; Xinyu Zou; et al. (CoRR, 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 002; Liya Ma; Yongchao Xu; Jiefeng Gan; Ziwei Fan 005; Fan Yang 038; Ke Ma; Jiehua Yang; Song Bai 001; Chang Shu; Xinyu Zou; et al. (Nat. Mach. Intell., 2021)

Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection. - Yongchao Xu; Mingtao Fu; Qimeng Wang; Yukang Wang; Kai Chen 006; Gui-Song Xia; Xiang Bai (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Side-Channel Gray-Box Attack for DNNs. - Yun Xiang; Yongchao Xu; Yingjie Li; Wen Ma; Qi Xuan 001; Yi Liu 024 (IEEE Trans. Circuits Syst. II Express Briefs, 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)

Self-supervised Learning Based on Max-tree Representation for Medical Image Segmentation. - Qian Tang; Bo Du 001; Yongchao Xu (IJCNN, 2022)

Pulmonary Nodule Classification with Multi-View Convolutional Vision Transformer. - Yuxuan Xiong; Bo Du 001; Yongchao Xu; Jiajun Deng; Yunlang She; Chang Chen (IJCNN, 2022)

AutoScale: Learning to Scale for Crowd Counting. - Chenfeng Xu; Dingkang Liang; Yongchao Xu; Song Bai 001; Wei Zhan; Xiang Bai; Masayoshi Tomizuka (Int. J. Comput. Vis., 2022)

Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. - Xiang Bai; Hanchen Wang 002; Liya Ma; Yongchao Xu; Jiefeng Gan; Ziwei Fan 005; Fan Yang 038; Ke Ma; Jiehua Yang; Song Bai 001; Chang Shu; Xinyu Zou; et al. (Nat. Mach. Intell., 2022)

Local Intensity Order Transformation for Robust Curvilinear Object Segmentation. - Tianyi Shi; Nicolas Boutry; Yongchao Xu; Thierry Géraud (IEEE Trans. Image Process., 2022)

Cell Localization and Counting Using Direction Field Map. - Yajie Chen; Dingkang Liang; Xiang Bai; Yongchao Xu; Xin Yang 008 (IEEE J. Biomed. Health Informatics, 2022)

FedARC: Federated Learning for Multi-Center Tuberculosis Chest X-ray Diagnosis with Adaptive Regularizing Contrastive Representation. - Chang Liu 046; Yong Luo 002; Yongchao Xu; Bo Du 001 (BIBM, 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 007 (ICCV, 2023)

Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation. - Zhihao Li; Jiancheng Yang; Yongchao Xu; Li Zhang 085; Wenhui Dong; Bo Du 001 (MICCAI (3), 2023)

Noised Autoencoders for Point Annotation Restoration in Object Counting. - Yuda Zou; Xin Xiao 010; Peilin Zhou; Zhichao Sun; Bo Du 001; Yongchao Xu (CoRR, 2023)

Dual Structure-Preserving Image Filterings for Semi-supervised Medical Image Segmentation. - Yuliang Gu; Zhichao Sun; Xin Xiao 010; Yuda Zou; Zelong Liu; Yongchao Xu (CoRR, 2023)

Generative adversarial network-assisted image classification for imbalanced tire X-ray defect detection. - Shuang Gao; Yun Dai; Yongchao Xu; Jinyin Chen; Yi Liu 024 (Trans. Inst. Meas. Control, 2023)

Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation. - Yuliang Gu; Yepeng Liu; Zhichao Sun; Jinchi Zhu; Yongchao Xu; Laurent Najman (BIBM, 2024)

Progressive Retinal Image Registration via Global and Local Deformable Transformations. - Yepeng Liu; Baosheng Yu; Tian Chen; Yuliang Gu; Bo Du 001; Yongchao Xu; Jun Cheng 003 (BIBM, 2024)

Uncertainty-aware Condensation for OCT Cervical Dataset Combining Coreset Selection and Distillation. - Yuxuan Xiong; Yongchao Xu; Yan Zhang; Kai Gui; Bo Du (BIBM, 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 (BMVC, 2024)

Shifted Autoencoders for Point Annotation Restoration in Object Counting. - Yuda Zou; Xin Xiao 010; Peilin Zhou; Zhichao Sun; Bo Du 001; Yongchao Xu (ECCV (25), 2024)

Auxiliary Information Guided Segmentation for the Clinical Target Volume of Cervical Cancer. - Shiyun Wang; Yongchao Xu (ICPR (27), 2024)

P2A: Transforming Proposals to Anomaly Masks. - Huachao Zhu; Zhichao Sun; Zelong Liu; Yongchao Xu (ICPR (33), 2024)

Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays. - Zhichao Sun; Yuliang Gu; Yepeng Liu; Zerui Zhang; Zhou Zhao; Yongchao Xu (MICCAI (1), 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 (MICCAI (8), 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 002; Bo Du 001; Yongchao Xu (MICCAI (5), 2024)

MoreStyle: Relax Low-Frequency Constraint of Fourier-Based Image Reconstruction in Generalizable Medical Image Segmentation. - Haoyu Zhao; Wenhui Dong; Rui Yu 002; Zhou Zhao; Bo Du 001; Yongchao Xu (MICCAI (8), 2024)

WIA-LD2ND: Wavelet-Based Image Alignment for Self-supervised Low-Dose CT Denoising. - Haoyu Zhao; Yuliang Gu; Zhou Zhao; Bo Du 001; Yongchao Xu; Rui Yu 002 (MICCAI (7), 2024)

A Generalized Contrast-Adjustment Guided Growth Method for Medical Image Segmentation. - Qian Tang; Qikui Zhu; Yongchao Xu; Bo Du 001 (PRCV (15), 2024)

MGAW: An Effective Method for Geo-localization in Adverse Weather. - Xingbo Wang; Yongchao Xu; Xueyang Fu; Zheng-Jun Zha (UAVM, 2024)

ESCNet: Entity-enhanced and Stance Checking Network for Multi-modal Fact-Checking. - Fanrui Zhang; Jiawei Liu 001; Jingyi Xie; Qiang Zhang 051; Yongchao Xu; Zheng-Jun Zha (WWW, 2024)

Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey. - Guoping Xu; Xiaxia Wang 005; Xinglong Wu; Xuesong Leng; Yongchao Xu (CoRR, 2024)

Shape-intensity knowledge distillation for robust medical image segmentation. - Wenhui Dong; Bo Du 001; Yongchao Xu (CoRR, 2024)

CellSeg1: Robust Cell Segmentation with One Training Image. - Peilin Zhou; Bo Du; Yongchao Xu (CoRR, 2024)

Shape-intensity-guided U-net for medical image segmentation. - Wenhui Dong; Bo Du 001; Yongchao Xu (Neurocomputing, 2024)

Source domain prior-assisted segment anything model for single domain generalization in medical image segmentation. - Wenhui Dong; Bo Du 001; Yongchao Xu (Image Vis. Comput., 2024)

Nighttime image semantic segmentation with retinex theory. - Zhichao Sun; Huachao Zhu; Xin Xiao 010; Yuliang Gu; Yongchao Xu (Image Vis. Comput., 2024)

Distilling OCT cervical dataset with evidential uncertainty proxy. - Yuxuan Xiong; Yongchao Xu; Yan Zhang 123; Bo Du 001 (Image Vis. Comput., 2024)

Query-guided generalizable medical image segmentation. - Zhiyi Yang; Zhou Zhao; Yuliang Gu; Yongchao Xu (Pattern Recognit. Lett., 2024)

Edge-and-Mask Integration-Driven Diffusion Models for Medical Image Segmentation. - Qian Tang; Qikui Zhu; Yuxuan Xiong; Yongchao Xu; Bo Du 001 (IEEE Signal Process. Lett., 2024)

Enhancing Building Footprint Extraction With Partial Occlusion by Exploring Building Integrity. - Qian Tang; Yapeng Li; Yongchao Xu; Bo Du 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Foundation models matter: federated learning for multi-center tuberculosis diagnosis via adaptive regularization and model-contrastive learning. - Chang Liu 046; Yong Luo 002; Yongchao Xu; Bo Du 001 (World Wide Web (WWW), 2024)

HPFL: hyper-network guided personalized federated learning for multi-center tuberculosis chest x-ray diagnosis. - Chang Liu 046; Yong Luo 002; Yongchao Xu; Bo Du 001 (Multim. Tools Appl., 2024)

WASPSYN: A Challenge for Domain Adaptive Synapse Detection in Microwasp Brain Connectomes. - Yicong Li 002; Wanhua Li 001; Qi Chen; Wei Huang 036; Yuda Zou; Xin Xiao; Kazunori Shinomiya; Pat Gunn; Nishika Gupta; Alexey Polilov; Yongchao Xu; Yueyi Zhang; et al. (IEEE Trans. Medical Imaging, 2024)

HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection. - Yongchao Xu; Jiawei Liu 001; Sen Tao; Qiang Zhang 051; Zheng-Jun Zha (AAAI, 2025)

Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation. - Qiang Zhang 051; Mengsheng Zhao; Jiawei Liu 001; Fanrui Zhang; Yongchao Xu; Zheng-Jun Zha (CVPR, 2025)

Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification. - Weixi Zheng; Aoling Huang; Jingping Yuan; Haoyu Zhao; Zhou Zhao; Yongchao Xu; Thierry Géraud (ICASSP, 2025)

Development of residual learning in deep neural networks for computer vision: A survey. - Guoping Xu; Xiaxia Wang 005; Xinglong Wu; Xuesong Leng; Yongchao Xu (Eng. Appl. Artif. Intell., 2025)

Dual structure-aware image filterings for semi-supervised medical image segmentation. - Yuliang Gu; Zhichao Sun; Tian Chen; Xin Xiao 010; Yepeng Liu; Yongchao Xu; Laurent Najman (Medical Image Anal., 2025)

Calibration Matters: Prototype-Aware Diffusion for OCT Cervical Classification With Calibration. - Yuxuan Xiong; Zhou Zhao; Yongchao Xu; Yan Zhang 123; Bo Du 001 (IEEE Signal Process. Lett., 2025)

Learning Modality-Invariant Feature for Multimodal Image Matching via Knowledge Distillation. - Yepeng Liu; Wenpeng Lai; Yuliang Gu; Gui-Song Xia; Bo Du 001; Yongchao Xu (IEEE Trans. Geosci. Remote. Sens., 2025)

MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching. - Yepeng Liu; Zhichao Sun; Baosheng Yu; Yitian Zhao; Bo Du 001; Yongchao Xu; Jun Cheng 003 (IEEE Trans. Image Process., 2025)

Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ Segmentation. - Yuliang Gu; Weilun Tsao; Bo Du 001; Thierry Géraud; Yongchao Xu (CoRR, 2025)

RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone Scenes. - Zhichao Sun; Yepeng Liu; Huachao Zhu; Yuliang Gu; Yuda Zou; Zelong Liu; Gui-Song Xia; Bo Du 001; Yongchao Xu (CoRR, 2025)

Consistent-Point: Consistent Pseudo-Points for Semi-Supervised Crowd Counting and Localization. - Yuda Zou; Zelong Liu; Yuliang Gu; Bo Du 001; Yongchao Xu (CoRR, 2025)

CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection. - Zhichao Sun; Huazhang Hu; Yidong Ma; Gang Liu; Nemo Chen; Xu Tang; Yao Hu 002; Yongchao Xu (CoRR, 2025)

LiftFeat: 3D Geometry-Aware Local Feature Matching. - Yepeng Liu; Wenpeng Lai; Zhou Zhao; Yuxuan Xiong; Jinchi Zhu; Jun Cheng; Yongchao Xu (CoRR, 2025)

Rejoining fragmented ancient bamboo slips with physics-driven deep learning. - Jinchi Zhu; Zhou Zhao; Hailong Lei; Xiaoguang Wang; Jialiang Lu; Jing Li 055; Qianqian Tang; Jiachen Shen; Gui-Song Xia; Bo Du 001; Yongchao Xu (CoRR, 2025)

From Bench to Bedside: A DeepSeek-Powered AI System for Automated Chest Radiograph Interpretation in Clinical Practice. - Yaowei Bai; Ruiheng Zhang; Yu Lei; Jingfeng Yao; Shuguang Ju; Chaoyang Wang; Wei Yao; Yiwan Guo; Guilin Zhang; Chao Wan; Qian Yuan; Xuhua Duan; et al. (CoRR, 2025)

Not All Pixels are Equal: Learning Pixel Hardness for Semantic Segmentation. - Xin Xiao 010; Daiguo Zhou; Jiagao Hu; Yi Hu; Yongchao Xu (Int. J. Comput. Vis., 2025)

Shape-intensity knowledge distillation for robust medical image segmentation. - Wenhui Dong; Bo Du; Yongchao Xu (Frontiers Comput. Sci., 2025)

Coarse-to-fine crack cue for robust crack detection. - Zelong Liu; Yuliang Gu; Zhichao Sun; Huachao Zhu; Xin Xiao 010; Bo Du 001; Laurent Najman; Yongchao Xu (Pattern Recognit., 2026)