Publications

* denotes equal contribution; ^ denotes corresponding authorship.

2023

  1. Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization
    Yan Luo*, Yu Tian*, Min Shi*, Tobias Elze, and Mengyu Wang
    arXiv preprint 2023
    PDF Code Dataset
  2. Semantic Role Labeling Guided Out-of-distribution Detection
    Jinan Zou*, Maihao Guo*, Yu Tian*, Yuhao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, and Javen Qinfeng Shi
    arXiv preprint 2023
    PDF
  3. BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations
    Yuanhong Chen, Yuyuan Liu, Chong Wang, Michael Elliott, Chun Fung Kwok, Yu Tian, Fengbei Liu, Helen Frazer, Davis J McCarthy, Gustavo Carneiro, and  others
    arXiv preprint 2023
    PDF
  4. Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning
    Fengbei Liu, Yuanhong Chen, Chong Wang, Yu Tain, and Gustavo Carneiro
    arXiv preprint 2023
    PDF
  5. Translation Consistent Semi-supervised Segmentation for 3D Medical Images
    Yuyuan Liu, Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, and Gustavo Carneiro
    arXiv preprint 2023
    PDF Code
  6. Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning
    Yan Luo*, Min Shi*, Yu Tian*, Tobias Elze, and Mengyu Wang
    In Proceedings of the IEEE/CVF international conference on computer vision (ICCV) 2023
    PDF Code Dataset
  7. BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification
    Yuanhong Chen*, Fengbei Liu*, Hu Wang, Chong Wang, Yu Tian, Yuyuan Liu, and Gustavo Carneiro
    In Proceedings of the IEEE/CVF international conference on computer vision (ICCV) 2023
    PDF Code
  8. 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 (ICCV) 2023
    PDF Code
  9. Learning Support and Trivial Prototypes for Interpretable Image Classification
    Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J McCarthy, Helen Frazer, and Gustavo Carneiro
    In Proceedings of the IEEE/CVF international conference on computer vision (ICCV) 2023
    PDF
  10. 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
    International Workshop on Machine Learning in Medical Imaging (MICCAI-MLMI) 2023
    PDF Code
  11. Self-supervised Pseudo Multi-class Pre-training for Unsupervised Anomaly Detection and Segmentation in Medical Images
    Yu Tian*, Fengbei Liu*, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W Verjans, Rajvinder Singh, and Gustavo Carneiro
    Medical Image Analysis (MedIA) 2023
    PDF Code
  12. Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma
    Min Shi, Anagha Lokhande, Mojtaba S Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R Pasquale, Tobias Elze, Michael V Boland, Nazlee Zebardast, and  others
    IEEE Journal of Biomedical and Health Informatics (JBHI) 2023
    PDF Dataset

2022

  1. 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
    European Conference on Computer Vision (ECCV Oral) 2022
    PDF Code
  2. 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 W Verjans, and Gustavo Carneiro
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI Early Accept) 2022
    PDF Code
  3. NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification
    Fengbei Liu, Yuanhong Chen, Yu Tian, Yuyuan Liu, Chong Wang, Vasileios Belagiannis, and Gustavo Carneiro
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI Early Accept) 2022
    PDF Code
  4. Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
    Yuanhong Chen, Wang Hu, Chong Wang, Yu Tian, Fengbei Liu, Yuyuan Liu, Michael Elliott, Davis McCarthy, Helen Frazer, and Gustavo Carneiro
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI Early Accept) 2022
    PDF
  5. Knowledge Distillation to Ensemble Global and Interpretable Prototype-based Mammogram Classification Models
    Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis McCarthy, Michael Elliott, Helen Frazer, and Gustavo Carneiro
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI Early Accept) 2022
    PDF
  6. ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
    Fengbei Liu*, Yu Tian*, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, and Gustavo Carneiro
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
    PDF Code
  7. Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
    Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, and Gustavo Carneiro
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
    PDF Code
  8. Deep One-Class Classification via Interpolated Gaussian Descriptor
    Yuanhong Chen*, Yu Tian*^, Guansong Pang, and Gustavo Carneiro
    In Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI Oral) 2022
    PDF Code

2021

  1. Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
    Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W Verjans, and Gustavo Carneiro
    In Proceedings of the IEEE/CVF international conference on computer vision (ICCV) 2021
    PDF Code
  2. Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
    Yu Tian, Guansong Pang, Fengbei Liu, Seon Ho Shin, Johan W Verjans, Rajvinder Singh, Gustavo Carneiro, and  others
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2021
    PDF Code
  3. Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification
    Fengbei Liu*, Yu Tian*, Filipe R Cordeiro, Vasileios Belagiannis, Ian Reid, and Gustavo Carneiro
    In International Workshop on Machine Learning in Medical Imaging (MICCAI-MLMI) 2021
    PDF Code
  4. Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning
    Yu Tian, Leonardo Zorron Cheng Tao Pu, Yuyuan Liu, Gabriel Maicas, Johan W Verjans, Alastair D Burt, Seon Ho Shin, Rajvinder Singh, and Gustavo Carneiro
    Deep Learning for Medical Image Analysis (second edition) 2021
    PDF

2020

  1. Few-shot anomaly detection for polyp frames from colonoscopy
    Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W Verjans, and Gustavo Carneiro
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2020
    PDF Code
  2. Photoshopping colonoscopy video frames
    Yuyuan Liu*, Yu Tian*^, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W Verjans, and Gustavo Carneiro
    In IEEE 17th International Symposium on Biomedical Imaging (ISBI) 2020
    PDF
  3. Computer-aided diagnosis for characterization of colorectal lesions: comprehensive software that includes differentiation of serrated lesions
    Leonardo Zorron Cheng Tao Pu, Gabriel Maicas, Yu Tian, Takeshi Yamamura, Masanao Nakamura, Hiroto Suzuki, Gurfarmaan Singh, Khizar Rana, Yoshiki Hirooka, Alastair D Burt, and  others
    Gastrointestinal endoscopy (GIE) 2020
    PDF

2019

  1. One-stage five-class polyp detection and classification
    Yu Tian, Leonardo ZCT Pu, Rajvinder Singh, Alastair D Burt, and Gustavo Carneiro
    In IEEE 16th International Symposium on Biomedical Imaging (ISBI) 2019
    PDF