Yongchao Xu

153 papers A* 11A 1B 8C 4Misc 1Journal 96Unranked 31
YearRankTypeTitle / Venue / Authors
2026 J jnl
Boosting Active Prompt Learning via Discriminative Self-Training Dual-Curriculum Learning.
Int. J. Comput. Vis.
Sen Tao, Jiawei Liu, Peng Zeng, Yongchao Xu, Bingyu Hu, Zheng-Jun Zha
2026 J jnl
CAFL: Conditional Attention Federated Learning for Image Emotion Analysis.
Data Sci. Eng.
Chang Liu, Zengmao Wang, Yongchao Xu, Bo Du
2026 J jnl
Coarse-to-fine crack cue for robust crack detection.
Pattern Recognit.
Zelong Liu, Yuliang Gu, Zhichao Sun, Huachao Zhu, Xin Xiao, Bo Du, Laurent Najman, Yongchao Xu
2026 A* conf
Decoupling What to Count and Where to See for Referring Expression Counting.
AAAI
Yuda Zou, Zijian Zhang, Yongchao Xu
2026 J jnl
From Pairs to Sequences: Track-Aware Policy Gradients for Keypoint Detection.
CoRR
Yepeng Liu, Hao Li, Liwen Yang, Fangzhen Li, Xudi Ge, Yuliang Gu, Kuang Gao, Bing Wang, Guang Chen, Hangjun Ye, Yongchao Xu
2026 J jnl
IVC-Prune: Revealing the Implicit Visual Coordinates in LVLMs for Vision Token Pruning.
CoRR
Zhichao Sun, Yidong Ma, Gang Liu, Yibo Chen, Xu Tang, Yao Hu, Yongchao Xu
2026 J jnl
Mamba-Driven Comprehensive Context Learning for Zero-Shot HOI Detection.
Int. J. Comput. Vis.
Jiawei Liu, Yongchao Xu, Sen Tao, Yuexuan Qi, Zheng-Jun Zha
2026 J jnl
Prompt-guided Modality Completion for cardiac pathology segmentation.
Pattern Recognit.
Donggen Fang, Yajie Chen, Yuliang Gu, Lingyi Yu, Zhongyuan Wang, Chao Pang, Bo Du, Lianming Wu, Yongchao Xu
2026 J jnl
Understanding and manipulating color representations in CLIP.
Neurocomputing
Peilin Zhou, Jiongyi Wang, Yanmin Dai, Hanyu Du, Yuliang Gu, Yongchao Xu
2026 J jnl
Vicinal Gaussian Transform: Rethinking Source-Free Domain Adaptation Through Source-Informed Label Consistency.
IEEE Trans. Pattern Anal. Mach. Intell.
Jing Wang, Yongchao Xu, Jing Tang, Zeyu Gong, Bo Tao, Clarence W. de Silva, Xiang Bai
2025 J jnl
A DeepSeek-Powered AI System for Automated Chest Radiograph Interpretation in Clinical Practice.
CoRR
Yaowei Bai, Ruiheng Zhang, Yu Lei, Xuhua Duan, Jingfeng Yao, Shuguang Ju, Chaoyang Wang, Wei Yao, Yiwan Guo, Guilin Zhang, Chao Wan, Qian Yuan, Lei Chen, Wenjuan Tang, Biqiang Zhu, Xinggang Wang, Tao Sun, Wei Zhou, Dacheng Tao, Yongchao Xu, Chuansheng Zheng, Huangxuan Zhao, Bo Du
2025 J jnl
CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection.
CoRR
Zhichao Sun, Huazhang Hu, Yidong Ma, Gang Liu, Nemo Chen, Xu Tang, Yao Hu, Yongchao Xu
2025 J jnl
Calibration Matters: Prototype-Aware Diffusion for OCT Cervical Classification With Calibration.
IEEE Signal Process. Lett.
Yuxuan Xiong, Zhou Zhao, Yongchao Xu, Yan Zhang, Bo Du
2025 J jnl
Coarse-to-fine crack cue for robust crack detection.
CoRR
Zelong Liu, Yuliang Gu, Zhichao Sun, Huachao Zhu, Xin Xiao, Bo Du, Laurent Najman, Yongchao Xu
2025 J jnl
Consistent-Point: Consistent Pseudo-Points for Semi-Supervised Crowd Counting and Localization.
CoRR
Yuda Zou, Zelong Liu, Yuliang Gu, Bo Du, Yongchao Xu
2025 J jnl
Decoupling What to Count and Where to See for Referring Expression Counting.
CoRR
Yuda Zou, Zijian Zhang, Yongchao Xu
2025 J jnl
Development of residual learning in deep neural networks for computer vision: A survey.
Eng. Appl. Artif. Intell.
Guoping Xu, Xiaxia Wang, Xinglong Wu, Xuesong Leng, Yongchao Xu
2025 J jnl
Dual structure-aware image filterings for semi-supervised medical image segmentation.
Medical Image Anal.
Yuliang Gu, Zhichao Sun, Tian Chen, Xin Xiao, Yepeng Liu, Yongchao Xu, Laurent Najman
2025 J jnl
From Bench to Bedside: A DeepSeek-Powered AI System for Automated Chest Radiograph Interpretation in Clinical Practice.
CoRR
Yaowei Bai, Ruiheng Zhang, Yu Lei, Jingfeng Yao, Shuguang Ju, Chaoyang Wang, Wei Yao, Yiwan Guo, Guilin Zhang, Chao Wan, Qian Yuan, Xuhua Duan, Xinggang Wang, Tao Sun, Yongchao Xu, Chuansheng Zheng, Huangxuan Zhao, Bo Du
2025 — conf
Geometry-Aware Enhancement and Data Augmentation for Street-to-Satellite Geo-localization.
UAVM
Xingbo Wang, Yongchao Xu, Yuanfei Bao, Xueyang Fu, Zheng-Jun Zha
2025 A* conf
HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection.
AAAI
Yongchao Xu, Jiawei Liu, Sen Tao, Qiang Zhang, Zheng-Jun Zha
2025 A* conf
Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation.
CVPR
Qiang Zhang, Mengsheng Zhao, Jiawei Liu, Fanrui Zhang, Yongchao Xu, Zheng-Jun Zha
2025 J jnl
Learning Modality-Invariant Feature for Multimodal Image Matching via Knowledge Distillation.
IEEE Trans. Geosci. Remote. Sens.
Yepeng Liu, Wenpeng Lai, Yuliang Gu, Gui-Song Xia, Bo Du, Yongchao Xu
2025 J jnl
Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ Segmentation.
CoRR
Yuliang Gu, Weilun Tsao, Bo Du, Thierry Géraud, Yongchao Xu
2025 A* conf
LiftFeat: 3D Geometry-Aware Local Feature Matching.
ICRA
Yepeng Liu, Wenpeng Lai, Zhou Zhao, Yuxuan Xiong, Jinchi Zhu, Jun Cheng, Yongchao Xu
2025 J jnl
LiftFeat: 3D Geometry-Aware Local Feature Matching.
CoRR
Yepeng Liu, Wenpeng Lai, Zhou Zhao, Yuxuan Xiong, Jinchi Zhu, Jun Cheng, Yongchao Xu
2025 J jnl
MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching.
CoRR
Yepeng Liu, Zhichao Sun, Baosheng Yu, Yitian Zhao, Bo Du, Yongchao Xu, Jun Cheng
2025 J jnl
MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching.
IEEE Trans. Image Process.
Yepeng Liu, Zhichao Sun, Baosheng Yu, Yitian Zhao, Bo Du, Yongchao Xu, Jun Cheng
2025 — conf
Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-Ray Diagnosis.
MICCAI (5)
Zelong Liu, Huachao Zhu, Zhichao Sun, Yuda Zou, Yuliang Gu, Bo Du, Yongchao Xu
2025 — conf
Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation.
MICCAI (5)
Zhikai Wei, Chao Wu, Hanyu Du, Rui Yu, Bo Du, Yongchao Xu
2025 J jnl
Not All Pixels are Equal: Learning Pixel Hardness for Semantic Segmentation.
Int. J. Comput. Vis.
Xin Xiao, Daiguo Zhou, Jiagao Hu, Yi Hu, Yongchao Xu
2025 Misc conf
Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification.
ICASSP
Weixi Zheng, Aoling Huang, Jingping Yuan, Haoyu Zhao, Zhou Zhao, Yongchao Xu, Thierry Géraud
2025 J jnl
Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification.
CoRR
Weixi Zheng, Aoling Huang, Jingping Yuan, Haoyu Zhao, Zhou Zhao, Yongchao Xu, Thierry Géraud
2025 A* conf
Pixel-wise Divide and Conquer for Federated Vessel Segmentation.
IJCAI
Tian Chen, Wenke Huang, Zhihao Wang, Zekun Shi, He Li, Wenhui Dong, Mang Ye, Bo Du, Yongchao Xu
2025 J jnl
RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone Scenes.
CoRR
Zhichao Sun, Yepeng Liu, Huachao Zhu, Yuliang Gu, Yuda Zou, Zelong Liu, Gui-Song Xia, Bo Du, Yongchao Xu
2025 J jnl
Rejoining fragmented ancient bamboo slips with physics-driven deep learning.
CoRR
Jinchi Zhu, Zhou Zhao, Hailong Lei, Xiaoguang Wang, Jialiang Lu, Jing Li, Qianqian Tang, Jiachen Shen, Gui-Song Xia, Bo Du, Yongchao Xu
2025 J jnl
Shape-intensity knowledge distillation for robust medical image segmentation.
Frontiers Comput. Sci.
Wenhui Dong, Bo Du, Yongchao Xu
2025 — conf
Test-Time Training with Local Contrast-Preserving Copy-Pasted Image for Domain Generalization in Retinal Vessel Segmentation.
MICCAI (7)
Yuliang Gu, Zhichao Sun, Zelong Liu, Yongchao Xu
2024 — conf
A Generalized Contrast-Adjustment Guided Growth Method for Medical Image Segmentation.
PRCV (15)
Qian Tang, Qikui Zhu, Yongchao Xu, Bo Du
2024 — conf
Auxiliary Information Guided Segmentation for the Clinical Target Volume of Cervical Cancer.
ICPR (27)
Shiyun Wang, Yongchao Xu
2024 J jnl
CellSeg1: Robust Cell Segmentation with One Training Image.
CoRR
Peilin Zhou, Bo Du, Yongchao Xu
2024 J jnl
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey.
CoRR
Guoping Xu, Xiaxia Wang, Xinglong Wu, Xuesong Leng, Yongchao Xu
2024 J jnl
Distilling OCT cervical dataset with evidential uncertainty proxy.
Image Vis. Comput.
Yuxuan Xiong, Yongchao Xu, Yan Zhang, Bo Du
2024 A* conf
ESCNet: Entity-enhanced and Stance Checking Network for Multi-modal Fact-Checking.
WWW
Fanrui Zhang, Jiawei Liu, Jingyi Xie, Qiang Zhang, Yongchao Xu, Zheng-Jun Zha
2024 J jnl
Edge-and-Mask Integration-Driven Diffusion Models for Medical Image Segmentation.
IEEE Signal Process. Lett.
Qian Tang, Qikui Zhu, Yuxuan Xiong, Yongchao Xu, Bo Du
2024 J jnl
Enhancing Building Footprint Extraction With Partial Occlusion by Exploring Building Integrity.
IEEE Trans. Geosci. Remote. Sens.
Qian Tang, Yapeng Li, Yongchao Xu, Bo Du
2024 J jnl
Foundation models matter: federated learning for multi-center tuberculosis diagnosis via adaptive regularization and model-contrastive learning.
World Wide Web (WWW)
Chang Liu, Yong Luo, Yongchao Xu, Bo Du
2024 A conf
HFGS: 4D Gaussian Splatting with Emphasis on Spatial and Temporal High-Frequency Components for Endoscopic Scene Reconstruction.
BMVC
Haoyu Zhao, Xingyue Zhao, Lingting Zhu, Weixi Zheng, Yongchao Xu
2024 J jnl
HFGS: 4D Gaussian Splatting with Emphasis on Spatial and Temporal High-Frequency Components for Endoscopic Scene Reconstruction.
CoRR
Haoyu Zhao, Xingyue Zhao, Lingting Zhu, Weixi Zheng, Yongchao Xu
2024 J jnl
HPFL: hyper-network guided personalized federated learning for multi-center tuberculosis chest x-ray diagnosis.
Multim. Tools Appl.
Chang Liu, Yong Luo, Yongchao Xu, Bo Du
2024 — conf
MGAW: An Effective Method for Geo-localization in Adverse Weather.
UAVM
Xingbo Wang, Yongchao Xu, Xueyang Fu, Zheng-Jun Zha
2024 — conf
MoreStyle: Relax Low-Frequency Constraint of Fourier-Based Image Reconstruction in Generalizable Medical Image Segmentation.
MICCAI (8)
Haoyu Zhao, Wenhui Dong, Rui Yu, Zhou Zhao, Bo Du, Yongchao Xu
2024 J jnl
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation.
CoRR
Haoyu Zhao, Wenhui Dong, Rui Yu, Zhou Zhao, Bo Du, Yongchao Xu
2024 J jnl
Nighttime image semantic segmentation with retinex theory.
Image Vis. Comput.
Zhichao Sun, Huachao Zhu, Xin Xiao, Yuliang Gu, Yongchao Xu
2024 — conf
P2A: Transforming Proposals to Anomaly Masks.
ICPR (33)
Huachao Zhu, Zhichao Sun, Zelong Liu, Yongchao Xu
2024 — conf
Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays.
MICCAI (1)
Zhichao Sun, Yuliang Gu, Yepeng Liu, Zerui Zhang, Zhou Zhao, Yongchao Xu
2024 J jnl
Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays.
CoRR
Zhichao Sun, Yuliang Gu, Yepeng Liu, Zerui Zhang, Zhou Zhao, Yongchao Xu
2024 — conf
Progressive Retinal Image Registration via Global and Local Deformable Transformations.
BIBM
Yepeng Liu, Baosheng Yu, Tian Chen, Yuliang Gu, Bo Du, Yongchao Xu, Jun Cheng
2024 J jnl
Progressive Retinal Image Registration via Global and Local Deformable Transformations.
CoRR
Yepeng Liu, Baosheng Yu, Tian Chen, Yuliang Gu, Bo Du, Yongchao Xu, Jun Cheng
2024 — conf
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation.
MICCAI (8)
Zhikai Wei, Wenhui Dong, Peilin Zhou, Yuliang Gu, Zhou Zhao, Yongchao Xu
2024 J jnl
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation.
CoRR
Zhikai Wei, Wenhui Dong, Peilin Zhou, Yuliang Gu, Zhou Zhao, Yongchao Xu
2024 J jnl
Query-guided generalizable medical image segmentation.
Pattern Recognit. Lett.
Zhiyi Yang, Zhou Zhao, Yuliang Gu, Yongchao Xu
2024 — conf
Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation.
BIBM
Yuliang Gu, Yepeng Liu, Zhichao Sun, Jinchi Zhu, Yongchao Xu, Laurent Najman
2024 J jnl
Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation.
CoRR
Yuliang Gu, Yepeng Liu, Zhichao Sun, Jinchi Zhu, Yongchao Xu, Laurent Najman
2024 J jnl
Shape-intensity knowledge distillation for robust medical image segmentation.
CoRR
Wenhui Dong, Bo Du, Yongchao Xu
2024 J jnl
Shape-intensity-guided U-net for medical image segmentation.
Neurocomputing
Wenhui Dong, Bo Du, Yongchao Xu
2024 — conf
Shifted Autoencoders for Point Annotation Restoration in Object Counting.
ECCV (25)
Yuda Zou, Xin Xiao, Peilin Zhou, Zhichao Sun, Bo Du, Yongchao Xu
2024 J jnl
Source domain prior-assisted segment anything model for single domain generalization in medical image segmentation.
Image Vis. Comput.
Wenhui Dong, Bo Du, Yongchao Xu
2024 — conf
Spatial-Aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image.
MICCAI (5)
Zerui Zhang, Zhichao Sun, Zelong Liu, Zhou Zhao, Rui Yu, Bo Du, Yongchao Xu
2024 J jnl
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image.
CoRR
Zerui Zhang, Zhichao Sun, Zelong Liu, Bo Du, Rui Yu, Zhou Zhao, Yongchao Xu
2024 — conf
Uncertainty-aware Condensation for OCT Cervical Dataset Combining Coreset Selection and Distillation.
BIBM
Yuxuan Xiong, Yongchao Xu, Yan Zhang, Kai Gui, Bo Du
2024 J jnl
WASPSYN: A Challenge for Domain Adaptive Synapse Detection in Microwasp Brain Connectomes.
IEEE Trans. Medical Imaging
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
2024 — conf
WIA-LD2ND: Wavelet-Based Image Alignment for Self-supervised Low-Dose CT Denoising.
MICCAI (7)
Haoyu Zhao, Yuliang Gu, Zhou Zhao, Bo Du, Yongchao Xu, Rui Yu
2024 J jnl
WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising.
CoRR
Haoyu Zhao, Yuliang Gu, Zhou Zhao, Bo Du, Yongchao Xu, Rui Yu
2023 J jnl
Dual Structure-Preserving Image Filterings for Semi-supervised Medical Image Segmentation.
CoRR
Yuliang Gu, Zhichao Sun, Xin Xiao, Yuda Zou, Zelong Liu, Yongchao Xu
2023 — conf
FedARC: Federated Learning for Multi-Center Tuberculosis Chest X-ray Diagnosis with Adaptive Regularizing Contrastive Representation.
BIBM
Chang Liu, Yong Luo, Yongchao Xu, Bo Du
2023 J jnl
Generative adversarial network-assisted image classification for imbalanced tire X-ray defect detection.
Trans. Inst. Meas. Control
Shuang Gao, Yun Dai, Yongchao Xu, Jinyin Chen, Yi Liu
2023 J jnl
Noised Autoencoders for Point Annotation Restoration in Object Counting.
CoRR
Yuda Zou, Xin Xiao, Peilin Zhou, Zhichao Sun, Bo Du, Yongchao Xu
2023 J jnl
Not All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation.
CoRR
Xin Xiao, Daiguo Zhou, Jiagao Hu, Yi Hu, Yongchao Xu
2023 — conf
Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation.
MICCAI (3)
Zhihao Li, Jiancheng Yang, Yongchao Xu, Li Zhang, Wenhui Dong, Bo Du
2023 J jnl
Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation.
CoRR
Zhihao Li, Jiancheng Yang, Yongchao Xu, Li Zhang, Wenhui Dong, Bo Du
2023 A* conf
Scratch Each Other's Back: Incomplete Multi-modal Brain Tumor Segmentation Via Category Aware Group Self-Support Learning.
ICCV
Yansheng Qiu, Delin Chen, Hongdou Yao, Yongchao Xu, Zheng Wang
2022 J jnl
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
Nat. Mach. Intell.
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
2022 J jnl
AutoScale: Learning to Scale for Crowd Counting.
Int. J. Comput. Vis.
Chenfeng Xu, Dingkang Liang, Yongchao Xu, Song Bai, Wei Zhan, Xiang Bai, Masayoshi Tomizuka
2022 J jnl
Cell Localization and Counting Using Direction Field Map.
IEEE J. Biomed. Health Informatics
Yajie Chen, Dingkang Liang, Xiang Bai, Yongchao Xu, Xin Yang
2022 J jnl
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation.
CoRR
Tianyi Shi, Nicolas Boutry, Yongchao Xu, Thierry Géraud
2022 J jnl
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation.
IEEE Trans. Image Process.
Tianyi Shi, Nicolas Boutry, Yongchao Xu, Thierry Géraud
2022 B conf
Pulmonary Nodule Classification with Multi-View Convolutional Vision Transformer.
IJCNN
Yuxuan Xiong, Bo Du, Yongchao Xu, Jiajun Deng, Yunlang She, Chang Chen
2022 B conf
Self-supervised Learning Based on Max-tree Representation for Medical Image Segmentation.
IJCNN
Qian Tang, Bo Du, Yongchao Xu
2021 J jnl
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence.
CoRR
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
2021 J jnl
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
Nat. Mach. Intell.
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
2021 J jnl
Affinity Space Adaptation for Semantic Segmentation Across Domains.
IEEE Trans. Image Process.
Wei Zhou, Yukang Wang, Jiajia Chu, Jiehua Yang, Xiang Bai, Yongchao Xu
2021 J jnl
DeepFlux for Skeleton Detection in the Wild.
Int. J. Comput. Vis.
Yongchao Xu, Yukang Wang, Stavros Tsogkas, Jianqiang Wan, Xiang Bai, Sven J. Dickinson, Kaleem Siddiqi
2021 J jnl
Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Yongchao Xu, Mingtao Fu, Qimeng Wang, Yukang Wang, Kai Chen, Gui-Song Xia, Xiang Bai
2021 J jnl
Side-Channel Gray-Box Attack for DNNs.
IEEE Trans. Circuits Syst. II Express Briefs
Yun Xiang, Yongchao Xu, Yingjie Li, Wen Ma, Qi Xuan, Yi Liu
2021 J jnl
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results.
CoRR
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
2020 J jnl
Affinity Space Adaptation for Semantic Segmentation Across Domains.
CoRR
Wei Zhou, Yukang Wang, Jiajia Chu, Jiehua Yang, Xiang Bai, Yongchao Xu
2020 A* conf
All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting.
AAAI
Hao Wang, Pu Lu, Hui Zhang, Mingkun Yang, Xiang Bai, Yongchao Xu, Mengchao He, Yongpan Wang, Wenyu Liu
2020 — conf
AutoSTR: Efficient Backbone Search for Scene Text Recognition.
ECCV (24)
Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai
2020 J jnl
Deep-Person: Learning discriminative deep features for person Re-Identification.
Pattern Recognit.
Xiang Bai, Mingkun Yang, Tengteng Huang, Zhiyong Dou, Rui Yu, Yongchao Xu
2020 J jnl
Efficient Backbone Search for Scene Text Recognition.
CoRR
Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai
2020 — conf
Intra-class Feature Variation Distillation for Semantic Segmentation.
ECCV (7)
Yukang Wang, Wei Zhou, Tao Jiang, Xiang Bai, Yongchao Xu
2020 — conf
Learning Directional Feature Maps for Cardiac MRI Segmentation.
MICCAI (4)
Feng Cheng, Cheng Chen, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu
2020 J jnl
Learning Directional Feature Maps for Cardiac MRI Segmentation.
CoRR
Feng Cheng, Cheng Chen, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu
2020 — conf
Pay More Attention to Discontinuity for Medical Image Segmentation.
MICCAI (4)
Jiajia Chu, Yajie Chen, Wei Zhou, Heshui Shi, Yukun Cao, Dandan Tu, Ri-Chu Jin, Yongchao Xu
2020 A* conf
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation.
CVPR
Jianqiang Wan, Yang Liu, Donglai Wei, Xiang Bai, Yongchao Xu
2020 J jnl
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation.
CoRR
Jianqiang Wan, Yang Liu, Donglai Wei, Xiang Bai, Yongchao Xu
2020 — conf
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results.
ECCV Workshops (4)
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
2019 J jnl
All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting.
CoRR
Hao Wang, Pu Lu, Hui Zhang, Mingkun Yang, Xiang Bai, Yongchao Xu, Mengchao He, Yongpan Wang, Wenyu Liu
2019 J jnl
AutoScale: Learning to Scale for Crowd Counting.
CoRR
Chenfeng Xu, Dingkang Liang, Yongchao Xu, Song Bai, Wei Zhan, Masayoshi Tomizuka, Xiang Bai
2019 J jnl
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.
IEEE Trans. Medical Imaging
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
2019 A* conf
DeepFlux for Skeletons in the Wild.
CVPR
Yukang Wang, Yongchao Xu, Stavros Tsogkas, Xiang Bai, Sven J. Dickinson, Kaleem Siddiqi
2019 J jnl
Feature context learning for human parsing.
Sci. China Inf. Sci.
Tengteng Huang, Yongchao Xu, Song Bai, Yongpan Wang, Xiang Bai
2019 J jnl
Gliding vertex on the horizontal bounding box for multi-oriented object detection.
CoRR
Yongchao Xu, Mingtao Fu, Qimeng Wang, Yukang Wang, Kai Chen, Gui-Song Xia, Xiang Bai
2019 J jnl
Learn to Scale: Generating Multipolar Normalized Density Map for Crowd Counting.
CoRR
Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai
2019 A* conf
Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting.
ICCV
Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai
2019 J jnl
SegLink++: Detecting Dense and Arbitrary-shaped Scene Text by Instance-aware Component Grouping.
Pattern Recognit.
Jun Tang, Zhibo Yang, Yongpan Wang, Qi Zheng, Yongchao Xu, Xiang Bai
2019 J jnl
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
CoRR
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 Li Hsian Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels
2019 J jnl
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
IEEE Trans. Medical Imaging
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 Li Hsian 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
2019 J jnl
TextField: Learning a Deep Direction Field for Irregular Scene Text Detection.
IEEE Trans. Image Process.
Yongchao Xu, Yukang Wang, Wei Zhou, Yongpan Wang, Zhibo Yang, Xiang Bai
2019 — conf
Visual Urban Perception with Deep Semantic-Aware Network.
MMM (2)
Yongchao Xu, Qizheng Yang, Chaoran Cui, Cheng Shi, Guangle Song, Xiaohui Han, Yilong Yin
2018 J jnl
DeepFlux for Skeletons in the Wild.
CoRR
Yukang Wang, Yongchao Xu, Stavros Tsogkas, Xiang Bai, Sven J. Dickinson, Kaleem Siddiqi
2018 — conf
Hard-Aware Point-to-Set Deep Metric for Person Re-identification.
ECCV (16)
Rui Yu, Zhiyong Dou, Song Bai, Zhaoxiang Zhang, Yongchao Xu, Xiang Bai
2018 J jnl
Hard-Aware Point-to-Set Deep Metric for Person Re-identification.
CoRR
Rui Yu, Zhiyong Dou, Song Bai, Zhaoxiang Zhang, Yongchao Xu, Xiang Bai
2018 — conf
Image Aesthetics Assessment Based on User Social Behavior.
PCM (1)
Huihui Liu, Chaoran Cui, Yuling Ma, Cheng Shi, Yongchao Xu, Yilong Yin
2018 J jnl
Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification.
IEEE Access
Xiang Bai, Mingkun Yang, Pengyuan Lyu, Yongchao Xu, Jiebo Luo
2018 — conf
Left Atrial Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning.
STACOM@MICCAI
Élodie Puybareau, Zhou Zhao, Younes Khoudli, Edwin Carlinet, Yongchao Xu, Jérôme Lacotte, Thierry Géraud
2018 J jnl
TextField: Learning A Deep Direction Field for Irregular Scene Text Detection.
CoRR
Yongchao Xu, Yukang Wang, Wei Zhou, Yongpan Wang, Zhibo Yang, Xiang Bai
2018 J jnl
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.
Yongchao Xu, Baptiste Morel, Sonia Dahdouh, Élodie Puybareau, Alessio Virzi, Hélène Urien, Thierry Géraud, Catherine Adamsbaum, Isabelle Bloch
2017 J jnl
Deep-Person: Learning Discriminative Deep Features for Person Re-Identification.
CoRR
Xiang Bai, Mingkun Yang, Tengteng Huang, Zhiyong Dou, Rui Yu, Yongchao Xu
2017 B conf
From neonatal to adult brain MR image segmentation in a few seconds using 3D-like fully convolutional network and transfer learning.
ICIP
Yongchao Xu, Thierry Géraud, Isabelle Bloch
2017 J jnl
Hierarchical Segmentation Using Tree-Based Shape Spaces.
IEEE Trans. Pattern Anal. Mach. Intell.
Yongchao Xu, Edwin Carlinet, Thierry Géraud, Laurent Najman
2017 J jnl
Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification with Convolutional Neural Networks.
CoRR
Xiang Bai, Mingkun Yang, Pengyuan Lyu, Yongchao Xu
2017 C conf
Introducing the Dahu Pseudo-Distance.
ISMM
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry
2017 C conf
Morphological Hierarchical Image Decomposition Based on Laplacian 0-Crossings.
ISMM
Lê Duy Huynh, Yongchao Xu, Thierry Géraud
2017 J jnl
On deep holes of generalized projective Reed-Solomon codes.
CoRR
Xiaofan Xu, Shaofang Hong, Yongchao Xu
2017 — conf
Person Re-identification with End-to-End Scene Text Recognition.
CCCV (3)
Kamlesh, Pei Xu, Yang Yang, Yongchao Xu
2017 — conf
White Matter Hyperintensities Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning.
BrainLes@MICCAI
Yongchao Xu, Thierry Géraud, Élodie Puybareau, Isabelle Bloch, Joseph Chazalon
2016 — conf
A challenging issue: Detection of white matter hyperintensities in neonatal brain MRI.
EMBC
Baptiste Morel, Yongchao Xu, Alessio Virzi, Thierry Géraud, Catherine Adamsbaum, Isabelle Bloch
2016 J jnl
Connected Filtering on Tree-Based Shape-Spaces.
IEEE Trans. Pattern Anal. Mach. Intell.
Yongchao Xu, Thierry Géraud, Laurent Najman
2016 J jnl
CsSNP: A Web-Based Tool for the Detecting of Comparative Segments SNPs.
J. Comput. Biol.
Yi Wang, Shuangshuang Wang, Dongjie Zhou, Shuai Yang, Yongchao Xu, Chao Yang, Long Yang
2016 J jnl
Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selection.
CoRR
Yongchao Xu, Thierry Géraud, Laurent Najman
2016 J jnl
Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selection.
Pattern Recognit. Lett.
Yongchao Xu, Thierry Géraud, Laurent Najman
2016 B conf
Morphology-based hierarchical representation with application to text segmentation in natural images.
ICPR
Lê Duy Huynh, Yongchao Xu, Thierry Géraud
2015 C conf
Efficient Computation of Attributes and Saliency Maps on Tree-Based Image Representations.
ISMM
Yongchao Xu, Edwin Carlinet, Thierry Géraud, Laurent Najman
2014 B conf
Meaningful disjoint level lines selection.
ICIP
Yongchao Xu, Edwin Carlinet, Thierry Géraud, Laurent Najman
2014 J jnl
Tree-Based Morse Regions: A Topological Approach to Local Feature Detection.
IEEE Trans. Image Process.
Yongchao Xu, Pascal Monasse, Thierry Géraud, Laurent Najman
2013 B conf
Salient level lines selection using the Mumford-Shah functional.
ICIP
Yongchao Xu, Thierry Géraud, Laurent Najman
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 C conf
Two Applications of Shape-Based Morphology: Blood Vessels Segmentation and a Generalization of Constrained Connectivity.
ISMM
Yongchao Xu, Thierry Géraud, Laurent Najman
2012 B conf
Context-based energy estimator: Application to object segmentation on the tree of shapes.
ICIP
Yongchao Xu, Thierry Géraud, Laurent Najman
2012 J jnl
Morphological Filtering in Shape Spaces: Applications using Tree-Based Image Representations
CoRR
Yongchao Xu, Thierry Géraud, Laurent Najman
2012 B conf
Morphological filtering in shape spaces: Applications using tree-based image representations.
ICPR
Yongchao Xu, Thierry Géraud, Laurent Najman