Publications

2023

  1. iccv23_rpl_page_1.jpg
    Residual pattern learning for pixel-wise out-of-distribution detection in semantic segmentation
    Yuyuan Liu* , Choubo Ding*, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian Reid, and Gustavo Carneiro
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
    (* represents the equal contribution)
    arXiv Code Poster
  2. ICCV’23
    Learning support and trivial prototypes for interpretable image classification
    Chong Wang,  Yuyuan Liu , Yuanhong Chen, Fengbei Liu, Yu Tian, Davis McCarthy, Helen Frazer, and Gustavo Carneiro
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
    arXiv Code
  3. ICCV’23
    Bomd: bag of multi-label descriptors for noisy chest x-ray classification
    Yuanhong Chen, Fengbei Liu, Hu Wang, Chong Wang,  Yuyuan Liu , Yu Tian, and Gustavo Carneiro
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
    arXiv Code
  4. MICCAI’23
    Unsupervised anomaly detection in medical images with a memory-augmented multi-level cross-attentional masked autoencoder
    Yu Tian, Guansong Pang,  Yuyuan Liu , Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W Verjans, Mengyu Wang, and Gustavo Carneiro
    In International Workshop on Machine Learning in Medical Imaging, 2023
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2022

  1. eccv22_pebal_page_1.jpg
    Pixel-wise energy-biased abstention learning for anomaly segmentation on complex urban driving scenes
    Yu Tian*,  Yuyuan Liu* , Guansong Pang, Fengbei Liu, Yuanhong Chen, and Gustavo Carneiro
    In European Conference on Computer Vision (oral), 2022
    (* represents the equal contribution)
    arXiv Code
  2. MICCAI’22
    Knowledge distillation to ensemble global and interpretable prototype-based mammogram classification models
    Chong Wang, Yuanhong Chen,  Yuyuan Liu , Yu Tian, Fengbei Liu, Davis J McCarthy, Michael Elliott, Helen Frazer, and Gustavo Carneiro
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022
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  3. MICCAI’22
    Contrastive transformer-based multiple instance learning for weakly supervised polyp frame detection
    Yu Tian, Guansong Pang, Fengbei Liu,  Yuyuan Liu , Chong Wang, Yuanhong Chen, Johan Verjans, and Gustavo Carneiro
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022
    HTML Code
  4. MICCAI’22
    Multi-view local co-occurrence and global consistency learning improve mammogram classification generalisation
    Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu,  Yuyuan Liu , Michael Elliott, Davis J McCarthy, Helen Frazer, and Gustavo Carneiro
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022
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  5. cvpr22_psmt_page_1.png
    Perturbed and strict mean teachers for semi-supervised semantic segmentation
    Yuyuan Liu , Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, and Gustavo Carneiro
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
    arXiv Code Poster
  6. CVPR’22
    ACPL: Anti-curriculum pseudo-labelling for semi-supervised medical image classification
    Fengbei Liu, Yu Tian, Yuanhong Chen,  Yuyuan Liu , Vasileios Belagiannis, and Gustavo Carneiro
    In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2022
    arXiv Code