Publications

2024

1. 

   FairCLIP: Harnessing Fairness in Vision-and-Language Learning

   Yan Luo, Min Shi, Osama Khan, Muhammad Afzal, Hao Huang, Shuaihang Yuan, Yu Tian, and  others

   IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

   PDF Code Dataset
2. 

   Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection

   Jiawen Zhu, Choubo Ding, Yu Tian, and Guansong Pang

   IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

   PDF Code
3. 

   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

   IEEE Transactions on Medical Imaging (TMI), 2024

   PDF Code Dataset
4. 

   FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling

   Yu Tian, Yan Luo, Min Shi, Ava Kouhana, Tobias Elze, and Mengyu Wang

   International Conference on Learning Representations (ICLR), 2024

   PDF Code Dataset
5. 

   AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection

   Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, and Jiming Chen

   International Conference on Learning Representations (ICLR), 2024

   PDF Code
6. 

   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

   International Conference on Computational Linguistics (COLING), 2024

   PDF Code
7. 

   RNFLT2Vec: Artifact-Corrected Representation Learning for Retinal Nerve Fiber Layer Thickness Maps

   Min Shi, Yu Tian, Yan Luo, Tobias Elze, and Mengyu Wang

   Medical Image Analysis (MedIA), 2024

   PDF
8. 

   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 , 2024

   PDF

2023

1. 

   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
2. 

   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
3. 

   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
4. 

   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
5. 

   Artifact Correction in Retinal Nerve Fiber Layer Thickness Maps Using Deep Learning and Its Clinical Utility in Glaucoma

   Min Shi, Jessica A Sun, Anagha Lokhande, Yu Tian, Yan Luo, Tobias Elze, Lucy Q Shen, and Mengyu Wang

   Translational Vision Science & Technology (TVST), 2023

   PDF
6. 

   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
7. 

   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
8. 

   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
9. 

   Equitable Artificial Intelligence for Glaucoma Screening with Fair Identity Normalization

   Min Shi, Yan Luo, Yu Tian, Lucy Q Shen, Tobias Elze, Nazlee Zebardast, Mohammad Eslami, Saber Kazeminasab, Michael V Boland, David S Friedman, and  others

   medRxiv , 2023

   PDF
10. 

    Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling

    Yan Luo*, Yu Tian*, Min Shi*, Tobias Elze, and Mengyu Wang

    arXiv preprint , 2023

    PDF Code Dataset
11. 

    UnifiedVisionGPT: Streamlining Vision-Oriented AI through Generalized Multimodal Framework

    Chris Kelly, Luhui Hu, Cindy Yang, Yu Tian, Deshun Yang, Bang Yang, Zaoshan Huang, Zihao Li, and Yuexian Zou

    arXiv preprint , 2023

    PDF Code
12. 

    An artificial intelligence method for phenotyping of OCT scans using unsupervised and self-supervised deep learning

    Saber Kazeminasab, Sayuri Sekimitsu, Mojtaba Fazli, Mohammad Eslami, Min Shi, Yu Tian, Yan Luo, Mengyu Wang, Tobias Elze, and Nazlee Zebardast

    bioRxiv , 2023

    PDF
13. 

    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
14. 

    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

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
9. 

   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 , 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

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