许永超｜武汉大学｜学者主页

2026

From Pairs to Sequences: Track-Aware Policy Gradients for Keypoint Detection

Yepeng Liu, Hao Li, Li-Wen Yang, Fang Li, X. Ge, Yuliang Gu, kuang Gao, Bing Wang, Guang Chen, Hang-Jun Ye, Yongchao Xu

arXiv.org

DOI

2026

Incorporating modality-specific intensity prior as text prompt for multimodal myocardial pathology segmentation

Donggen Fang, Yuliang Gu, Lingyi Yu, Bo Du, Yongchao Xu, Lian-Ming Wu

Medical Image Anal.

DOI

2026

IVC-Prune: Revealing the Implicit Visual Coordinates in LVLMs for Vision Token Pruning

Zhichao Sun, Yi-Dong Ma, Gang Liu, Yi-Bo Chen, Xu Tang, Yao Hu, Yongchao Xu

arXiv.org

DOI

2026

Weaving structural cues while calibrating local updates in federated vessel segmentation

Tian Chen, Wen-Ke Huang, Yuliang Gu, Ze-Kun Shi, Mang Ye, Yongchao Xu

Neurocomputing

DOI

2026

Anomaly or Characteristic: Memory-Based Coarse-to-Fine Feature Fusion for Industrial Anomaly Detection

Huachao Zhu, Zelong Liu, Zhichao Sun, Wen-Wen Dong, Xin Xiao, Ze-Rui Zhang, Yongchao Xu

IEEE transactions on multimedia

DOI

2026

Understanding and manipulating color representations in CLIP

Peilin Zhou, Jiong-Yi Wang, Yanmin Dai, Hanyu Du, Yuliang Gu, Yongchao Xu

Neurocomputing

DOI

2026

Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ Segmentation

Yuliang Gu, Weilun Tsao, Yepeng Liu, Lian-Ming Wu, T. Géraud, Bo Du, Yongchao Xu

IEEE Transactions on Medical Imaging

DOI

2026

Prompt-guided Modality Completion for cardiac pathology segmentation

Donggen Fang, Yajie Chen, Yuliang Gu, Lingyi Yu, Zhong-Yuan Wang, Chao Pang, Bo Du, Lian-Ming Wu, Yongchao Xu

Pattern Recognition

DOI

2026

Hierarchical Prompt Contrastive Learning for Weakly Supervised Histopathology Segmentation

Zeng-Mao Wang, M. Hu, Chao-Yang Zhou, Shi-Ying Sun, Qingping Zheng, Leifei Zhang, Yongchao Xu, Bo Du

The Web Conference

DOI

2026

DeformTTA: Morphology-Aware Controllable Deformation for Test-Time Adaptation in Fetal Cardiac Ultrasound Image Segmentation

Zhihao Li, Zelong Liu, Juhua Liu, Yongchao Xu, Bo Du

Lecture notes in computer science

DOI

2026

Spectral-Semantic Consensus for Few-Shot Whole Slide Image Classification

Hanyu Du, Peilin Zhou, Weizhuo Shi, Zhikai Wei, Yajie Chen, Bo Du, Yongchao Xu

Lecture notes in computer science

DOI

2026

Decoupling What to Count and Where to See for Referring Expression Counting

Yuda Zou, Zijian Zhang, Yongchao Xu

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

Motion-DSD: AI-assisted dynamic frontal facial simulation of digital diagnostic waxing from 2-dimensional intraoral digital smile design

Shicheng Song, Xiaoying Gou, H. Zhang, Yongchao Xu, Huan Liu

Journal of Prosthodontic Research

DOI

2026

Decoupling Moment from Event for Video Temporal Grounding

Yuda Zou, Boxiang Zhou, Xin Zhou, Yibo Chen, Dejia Song, Xu Tang, Yao Hu, Yongchao Xu

Lecture notes in computer science

DOI

2025

CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection

Zhichao Sun, Huazhang Hu, Yidong Ma, Gang Liu, Yibo Chen, Xu Tang, Yao Hu, Yongchao Xu

neural information processing systems

DOI

2025

Consistent-Point: Consistent Pseudo-Points for Semi-Supervised Crowd Counting and Localization

Yuda Zou, Zelong Liu, Yuliang Gu, Bo Du, Yongchao Xu

arXiv.org

DOI

2025

Coarse-to-fine crack cue for robust crack detection

Zelong Liu, Yuliang Gu, Zhichao Sun, Huachao Zhu, Xin Xiao, Bo Du, L. Najman, Yongchao Xu

Pattern Recognition

DOI

2025

Test-Time Training with Local Contrast-Preserving Copy-Pasted Image for Domain Generalization in Retinal Vessel Segmentation

Yuliang Gu, Zhichao Sun, Zelong Liu, Yongchao Xu

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2025

MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching

Yepeng Liu, Zhichao Sun, Baosheng Yu, Yitian Zhao, Bo Du, Yongchao Xu, Jun Cheng

IEEE Transactions on Image Processing

DOI

2025

LiftFeat: 3D Geometry-Aware Local Feature Matching

Yepeng Liu, Wenpeng Lai, Zhou Zhao, Yuxuan Xiong, Jinchi Zhu, Jun Cheng, Yongchao Xu

IEEE International Conference on Robotics and Automation

DOI

2025

Beyond Pixel Uncertainty: Bounding the OoD Objects in Road Scenes

Huachao Zhu, Zelong Liu, Zhichao Sun, Yuda Zou, Gui-Song Xia, Yongchao Xu

IEEE International Conference on Computer Vision

DOI

2025

RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone Scenes

Zhichao Sun, Yepeng Liu, Zhi-Ling Su, Huachao Zhu, Yuliang Gu, Yuda Zou, Zelong Liu, Gui-Song Xia, Bo Du, Yongchao Xu

2026 IEEE/CVF Conference on Computer Vision and Pattern Recognition- FINDINGS Track (CVPRF)

DOI

2025

Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation

Zhikai Wei, Chao-Chang Wu, Hanyu Du, Rui Yu, Bo Du, Yongchao Xu

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2025

Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-Ray Diagnosis

Zelong Liu, Huachao Zhu, Zhichao Sun, Yuda Zou, Yuliang Gu, Bo Du, Yongchao Xu

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2025

Vicinal Gaussian Transform: Rethinking Source-Free Domain Adaptation Through Source-Informed Label Consistency

Jing Wang, Yongchao Xu, Jing Tang, Zeyu Gong, Bo Tao, C. D. de Silva, Xiang Bai

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

Learning Modality-Invariant Feature for Multimodal Image Matching via Knowledge Distillation

Yepeng Liu, Wenpeng Lai, Yuliang Gu, Gui-Song Xia, Bo Du, Yongchao Xu

IEEE Transactions on Geoscience and Remote Sensing

DOI

2025

Pixel-wise Divide and Conquer for Federated Vessel Segmentation

Tian-Long Chen, Wen-Ke Huang, Zhihao Wang, Ze-Kun Shi, He Li, Wen-Wen Dong, Mang Ye, Bo Du, Yongchao Xu

International Joint Conference on Artificial Intelligence

DOI

2025

CAFL: Conditional Attention Federated Learning for Image Emotion Analysis

Chang Liu, Zeng-Mao Wang, Yongchao Xu, Bo Du

Data Science and Engineering

DOI

2025

Epistemic-Aware Vision-Language Foundation Model for Fetal Ultrasound Interpretation

Xiao He, Huangxuan Zhao, Guojia Wan, Jiancheng Pan, Yanxing Liu, Xin Zou, Yong Luo, Yongchao Xu, Ju-Hua Liu, Wei Zhou, Dacheng Tao, Bo Du

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2

DOI

2025

Rejoining fragmented ancient bamboo slips with physics-driven deep learning

Jinchi Zhu, Zhou Zhao, Hailong Lei, Xiaoguang Wang, Jia-Liang Lu, Jing Li, Q. Tang, Jiacheng Shen, Gui-Song Xia, Bo Du, Yongchao Xu

Nature Communications

DOI

2025

A DeepSeek-powered AI system for automated chest radiograph interpretation in clinical practice

Yaowei Bai, Ruiheng Zhang, Yu Lei, Xuhua Duan, Jing-Feng Yao, Shu-Guang Ju, Chao-Yang Wang, W. Yao, Yi-Wan Guo, Gui-Lin Zhang, Chao Wan, Qiang Yuan, Lei Chen, Wenjuan Tang, Bi-Qiang Zhu, Xing-Gang Wang, Tao Sun, Wei Zhou, Dacheng Tao, Yongchao Xu, Chuansheng Zheng, Huangxuan Zhao, Bo Du

Nature Communications

DOI

2025

Calibration Matters: Prototype-Aware Diffusion for OCT Cervical Classification With Calibration

Yuxuan Xiong, Zhou Zhao, Yongchao Xu, Yan Zhang, Bo Du

IEEE Signal Processing Letters

DOI

2025

Not All Pixels are Equal: Learning Pixel Hardness for Semantic Segmentation

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

International Journal of Computer Vision

DOI

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

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2024

Query-guided generalizable medical image segmentation

Zhi-Yi Yang, Zhou Zhao, Yuliang Gu, Yongchao Xu

Pattern Recognition Letters

DOI

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

Lecture notes in computer science

DOI

2024

Dual structure-aware image filterings for semi-supervised medical image segmentation

Yuliang Gu, Zhichao Sun, Tian Chen, Xin Xiao, Yepeng Liu, Yongchao Xu, L. Najman

Medical Image Anal.

DOI

2024

WASPSYN: A Challenge for Domain Adaptive Synapse Detection in Microwasp Brain Connectomes

Yi-Cong Li, Wan-Hua Li, Qi Chen, Wei Huang, Yuda Zou, Xin Xiao, Kazunori Shinomiya, Pat Gunn, Nishika Gupta, A. Polilov, Yongchao Xu, Yueyi Zhang, Zhiwei Xiong, Hanspeter Pfister, D. Wei, Jingpeng Wu

IEEE Transactions on Medical Imaging

DOI

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

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2024

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

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

Lecture notes in computer science

DOI

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

Lecture notes in computer science

DOI

2024

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

Zhikai Wei, Wen-Wen Dong, Peilin Zhou, Yuliang Gu, Zhou Zhao, Yongchao Xu

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2024

Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation

Yuliang Gu, Yepeng Liu, Zhichao Sun, Jinchi Zhu, Yongchao Xu, L. Najman

IEEE International Conference on Bioinformatics and Biomedicine

DOI

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

Lecture notes in computer science

DOI

2024

P2A: Transforming Proposals to Anomaly Masks

Huachao Zhu, Zhichao Sun, Zelong Liu, Yongchao Xu

International Conference on Pattern Recognition

DOI

2024

Shape-intensity knowledge distillation for robust medical image segmentation

Wen-Wen Dong, Bo Du, Yongchao Xu

Frontiers of Computer Science

DOI

2024

Nighttime image semantic segmentation with retinex theory

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

Image and Vision Computing

DOI

2024

Enhancing Building Footprint Extraction With Partial Occlusion by Exploring Building Integrity

Qian Tang, Ya-Peng Li, Yongchao Xu, Bo Du

IEEE Transactions on Geoscience and Remote Sensing

DOI

2024

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

Wen-Wen Dong, Bo Du, Yongchao Xu

Neurocomputing

DOI

2024

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

Wen-Wen Dong, Bo Du, Yongchao Xu

Image and Vision Computing

DOI

2024

Uncertainty-aware Condensation for OCT Cervical Dataset Combining Coreset Selection and Distillation

Yuxuan Xiong, Yongchao Xu, Yan Zhang, Kai Gui, Bo Du

IEEE International Conference on Bioinformatics and Biomedicine

DOI

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 (Bussum)

DOI

2024

CellSeg1: Robust Cell Segmentation with One Training Image

Peilin Zhou, Bo Du, Yongchao Xu

arXiv.org

DOI

2024

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

Qian Tang, Qi-Kui Zhu, Yuxuan Xiong, Yongchao Xu, Bo Du

IEEE Signal Processing Letters

DOI

2024

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

Qian Tang, Qi-Kui Zhu, Yongchao Xu, Bo Du

Chinese Conference on Pattern Recognition and Computer Vision

DOI

2024

Distilling OCT cervical dataset with evidential uncertainty proxy

Yuxuan Xiong, Yongchao Xu, Yan Zhang, Bo Du

Image and Vision Computing

DOI

2024

Development of residual learning in deep neural networks for computer vision: A survey

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

Engineering Applications of Artificial Intelligence

DOI

2024

Auxiliary Information Guided Segmentation for the Clinical Target Volume of Cervical Cancer

Shiyun Wang, Yongchao Xu

Lecture notes in computer science

DOI

2023

基于多模型融合的肺部CT新冠肺炎病灶区域自动分割

史天意，程枫，李震，郑传胜，许永超，白翔

《自动化学报》

DOI

2023

Shifted Autoencoders for Point Annotation Restoration in Object Counting

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

European Conference on Computer Vision

DOI

2023

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

Chang Liu, Yong Luo, Yongchao Xu, Bo Du

Multimedia tools and applications

DOI

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

IEEE International Conference on Bioinformatics and Biomedicine

DOI

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

IEEE/CVF International Conference on Computer Vision (ICCV)

DOI

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

Lecture notes in computer science

DOI

2022

Deep learning‐assisted diagnosis of parotid gland tumors by using contrast‐enhanced CT imaging

Xue‐Meng Shen, Liang Mao, Zhiyi Yang, Zi‐Kang Chai, Ting‐Guan Sun, Yongchao Xu, Zhi‐Jun Sun

Oral Diseases

DOI

2022

Pulmonary Nodule Classification with Multi-View Convolutional Vision Transformer

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

2022 International Joint Conference on Neural Networks (IJCNN)

DOI

2022

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

Qian Tang, Bo Du, Yongchao Xu

2022 International Joint Conference on Neural Networks (IJCNN)

DOI

2022

AutoScale: Learning to Scale for Crowd Counting

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

International Journal of Computer Vision

DOI

2022

Local Intensity Order Transformation for Robust Curvilinear Object Segmentation

Tianyi Shi, Nicolas Boutry, Yongchao Xu, Thierry Géraud

IEEE Transactions on Image Processing

DOI

2021

Cell Localization and Counting Using Direction Field Map

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

IEEE Journal of Biomedical and Health Informatics

DOI

2021

DeepFlux for Skeleton Detection in the Wild

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

International Journal of Computer Vision

DOI

2020

Affinity Space Adaptation for Semantic Segmentation Across Domains

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

IEEE Transactions on Image Processing

DOI

2020

Intra-class Feature Variation Distillation for Semantic Segmentation

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

Lecture notes in computer science

DOI

精选作品

期刊论文

From Pairs to Sequences: Track-Aware Policy Gradients for Keypoint Detection

Incorporating modality-specific intensity prior as text prompt for multimodal myocardial pathology segmentation

IVC-Prune: Revealing the Implicit Visual Coordinates in LVLMs for Vision Token Pruning

Weaving structural cues while calibrating local updates in federated vessel segmentation

Anomaly or Characteristic: Memory-Based Coarse-to-Fine Feature Fusion for Industrial Anomaly Detection

Understanding and manipulating color representations in CLIP

Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ Segmentation

Prompt-guided Modality Completion for cardiac pathology segmentation

Hierarchical Prompt Contrastive Learning for Weakly Supervised Histopathology Segmentation

DeformTTA: Morphology-Aware Controllable Deformation for Test-Time Adaptation in Fetal Cardiac Ultrasound Image Segmentation

Spectral-Semantic Consensus for Few-Shot Whole Slide Image Classification

Decoupling What to Count and Where to See for Referring Expression Counting

Motion-DSD: AI-assisted dynamic frontal facial simulation of digital diagnostic waxing from 2-dimensional intraoral digital smile design

Decoupling Moment from Event for Video Temporal Grounding

CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection

Consistent-Point: Consistent Pseudo-Points for Semi-Supervised Crowd Counting and Localization

Coarse-to-fine crack cue for robust crack detection

Test-Time Training with Local Contrast-Preserving Copy-Pasted Image for Domain Generalization in Retinal Vessel Segmentation

MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching

LiftFeat: 3D Geometry-Aware Local Feature Matching

Beyond Pixel Uncertainty: Bounding the OoD Objects in Road Scenes

RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone Scenes

Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation

Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-Ray Diagnosis

Vicinal Gaussian Transform: Rethinking Source-Free Domain Adaptation Through Source-Informed Label Consistency

Learning Modality-Invariant Feature for Multimodal Image Matching via Knowledge Distillation

Pixel-wise Divide and Conquer for Federated Vessel Segmentation

CAFL: Conditional Attention Federated Learning for Image Emotion Analysis

Epistemic-Aware Vision-Language Foundation Model for Fetal Ultrasound Interpretation

Rejoining fragmented ancient bamboo slips with physics-driven deep learning

A DeepSeek-powered AI system for automated chest radiograph interpretation in clinical practice

Calibration Matters: Prototype-Aware Diffusion for OCT Cervical Classification With Calibration

Not All Pixels are Equal: Learning Pixel Hardness for Semantic Segmentation

Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification

Query-guided generalizable medical image segmentation

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

Dual structure-aware image filterings for semi-supervised medical image segmentation

WASPSYN: A Challenge for Domain Adaptive Synapse Detection in Microwasp Brain Connectomes

Progressive Retinal Image Registration via Global and Local Deformable Transformations

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

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

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

Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation

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

P2A: Transforming Proposals to Anomaly Masks

Shape-intensity knowledge distillation for robust medical image segmentation

Nighttime image semantic segmentation with retinex theory

Enhancing Building Footprint Extraction With Partial Occlusion by Exploring Building Integrity

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

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

Uncertainty-aware Condensation for OCT Cervical Dataset Combining Coreset Selection and Distillation

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

CellSeg1: Robust Cell Segmentation with One Training Image

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

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

Distilling OCT cervical dataset with evidential uncertainty proxy

Development of residual learning in deep neural networks for computer vision: A survey

Auxiliary Information Guided Segmentation for the Clinical Target Volume of Cervical Cancer

基于多模型融合的肺部CT新冠肺炎病灶区域自动分割

Shifted Autoencoders for Point Annotation Restoration in Object Counting

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

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

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

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

Deep learning‐assisted diagnosis of parotid gland tumors by using contrast‐enhanced CT imaging

Pulmonary Nodule Classification with Multi-View Convolutional Vision Transformer

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

AutoScale: Learning to Scale for Crowd Counting

Local Intensity Order Transformation for Robust Curvilinear Object Segmentation

Cell Localization and Counting Using Direction Field Map

DeepFlux for Skeleton Detection in the Wild

Affinity Space Adaptation for Semantic Segmentation Across Domains

Intra-class Feature Variation Distillation for Semantic Segmentation

预印本

Test-Time Training for Robust Text-Guided Open-Vocabulary Object Counting

Semi-Supervised Semantic Segmentation with Progressively Deep-to-Shallow Pseudo Supervision

研究方向