| 2026 | AAAI | Decoupling What to Count and Where to See for Referring Expression Counting. | Yuda Zou, Zijian Zhang, Yongchao Xu |
| 2026 | WWW | Hierarchical Prompt Contrastive Learning for Weakly Supervised Histopathology Segmentation. | Zengmao Wang, Ming Hu, Chaoyang Zhou, Shiying Sun, Qingping Zheng, Leifei Zhang, Yongchao Xu, Bo Du |
| 2025 | AAAI | HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection. | Yongchao Xu, Jiawei Liu, Sen Tao, Qiang Zhang, Zheng-Jun Zha |
| 2025 | CVPR | Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation. | Qiang Zhang, Mengsheng Zhao, Jiawei Liu, Fanrui Zhang, Yongchao Xu, Zheng-Jun Zha |
| 2025 | ICASSP | 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 Graud |
| 2025 | ICCV | Beyond Pixel Uncertainty: Bounding the OoD Objects in Road Scenes. | Huachao Zhu, Zelong Liu, Zhichao Sun, Yuda Zou, Gui-Song Xia, Yongchao Xu |
| 2025 | IJCAI | Pixel-wise Divide and Conquer for Federated Vessel Segmentation. | Tian Chen, Wenke Huang, Zhihao Wang, Zekun Shi, He Li, Wenhui Dong, Mang Ye, Bo Du, Yongchao Xu |
| 2025 | ICRA | LiftFeat: 3D Geometry-Aware Local Feature Matching. | Yepeng Liu, Wenpeng Lai, Zhou Zhao, Yuxuan Xiong, Jinchi Zhu, Jun Cheng, Yongchao Xu |
| 2025 | MICCAI | 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 |
| 2025 | MICCAI | 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 |
| 2025 | MICCAI | Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation. | Zhikai Wei, Chao Wu, Hanyu Du, Rui Yu, Bo Du, Yongchao Xu |
| 2024 | BMVC | 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 |
| 2024 | ECCV | Shifted Autoencoders for Point Annotation Restoration in Object Counting. | Yuda Zou, Xin Xiao, Peilin Zhou, Zhichao Sun, Bo Du, Yongchao Xu |
| 2024 | ICPR | Auxiliary Information Guided Segmentation for the Clinical Target Volume of Cervical Cancer. | Shiyun Wang, Yongchao Xu |
| 2024 | ICPR | P2A: Transforming Proposals to Anomaly Masks. | Huachao Zhu, Zhichao Sun, Zelong Liu, Yongchao Xu |
| 2024 | MICCAI | Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays. | Zhichao Sun, Yuliang Gu, Yepeng Liu, Zerui Zhang, Zhou Zhao, Yongchao Xu |
| 2024 | MICCAI | 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 |
| 2024 | MICCAI | 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 |
| 2024 | MICCAI | 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 |
| 2024 | MICCAI | 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 |
| 2024 | WWW | 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 |
| 2023 | ICCV | 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 |
| 2023 | MICCAI | Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation. | Zhihao Li, Jiancheng Yang, Yongchao Xu, Li Zhang, Wenhui Dong, Bo Du |
| 2022 | IJCNN | Self-supervised Learning Based on Max-tree Representation for Medical Image Segmentation. | Qian Tang, Bo Du, Yongchao Xu |
| 2022 | IJCNN | Pulmonary Nodule Classification with Multi-View Convolutional Vision Transformer. | Yuxuan Xiong, Bo Du, Yongchao Xu, Jiajun Deng, Yunlang She, Chang Chen |
| 2020 | AAAI | 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 |
| 2020 | CVPR | Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation. | Jianqiang Wan, Yang Liu, Donglai Wei, Xiang Bai, Yongchao Xu |
| 2020 | ECCV | 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 Krger, 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-Madeed, 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 | ECCV | Intra-class Feature Variation Distillation for Semantic Segmentation. | Yukang Wang, Wei Zhou, Tao Jiang, Xiang Bai, Yongchao Xu |
| 2020 | ECCV | AutoSTR: Efficient Backbone Search for Scene Text Recognition. | Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai |
| 2020 | MICCAI | Learning Directional Feature Maps for Cardiac MRI Segmentation. | Feng Cheng, Cheng Chen, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu |
| 2020 | MICCAI | 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 |
| 2019 | CVPR | DeepFlux for Skeletons in the Wild. | Yukang Wang, Yongchao Xu, Stavros Tsogkas, Xiang Bai, Sven J. Dickinson, Kaleem Siddiqi |
| 2019 | ICCV | Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting. | Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai |
| 2019 | MMM | Visual Urban Perception with Deep Semantic-Aware Network. | Yongchao Xu, Qizheng Yang, Chaoran Cui, Cheng Shi, Guangle Song, Xiaohui Han, Yilong Yin |
| 2018 | ECCV | Hard-Aware Point-to-Set Deep Metric for Person Re-identification. | Rui Yu, Zhiyong Dou, Song Bai, Zhaoxiang Zhang, Yongchao Xu, Xiang Bai |
| 2018 | MICCAI | Left Atrial Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning. | lodie Puybareau, Zhou Zhao, Younes Khoudli, Edwin Carlinet, Yongchao Xu, Jrme Lacotte, Thierry Graud |
| 2017 | ICIP | From neonatal to adult brain MR image segmentation in a few seconds using 3D-like fully convolutional network and transfer learning. | Yongchao Xu, Thierry Graud, Isabelle Bloch |
| 2017 | ISMM | Introducing the Dahu Pseudo-Distance. | Thierry Graud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry |
| 2017 | ISMM | Morphological Hierarchical Image Decomposition Based on Laplacian 0-Crossings. | L Duy Huynh, Yongchao Xu, Thierry Graud |
| 2017 | MICCAI | White Matter Hyperintensities Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning. | Yongchao Xu, Thierry Graud, lodie Puybareau, Isabelle Bloch, Joseph Chazalon |
| 2016 | ICPR | Morphology-based hierarchical representation with application to text segmentation in natural images. | L Duy Huynh, Yongchao Xu, Thierry Graud |
| 2015 | ISMM | Efficient Computation of Attributes and Saliency Maps on Tree-Based Image Representations. | Yongchao Xu, Edwin Carlinet, Thierry Graud, Laurent Najman |
| 2014 | ICIP | Meaningful disjoint level lines selection. | Yongchao Xu, Edwin Carlinet, Thierry Graud, Laurent Najman |
| 2013 | ICIP | Salient level lines selection using the Mumford-Shah functional. | Yongchao Xu, Thierry Graud, Laurent Najman |
| 2013 | ISMM | Two Applications of Shape-Based Morphology: Blood Vessels Segmentation and a Generalization of Constrained Connectivity. | Yongchao Xu, Thierry Graud, Laurent Najman |
| 2012 | ICIP | Context-based energy estimator: Application to object segmentation on the tree of shapes. | Yongchao Xu, Thierry Graud, Laurent Najman |
| 2012 | ICPR | Morphological filtering in shape spaces: Applications using tree-based image representations. | Yongchao Xu, Thierry Graud, Laurent Najman |