Publications

* denotes equal contribution; ^ denotes corresponding authorship.

2024

  1. WorldGPT: a Sora-inspired video AI agent as Rich world models from text and image inputs
    Deshun Yang*, Luhui Hu*, Yu Tian*, Zihao Li, Chris Kelly, Bang Yang, Cindy Yang, and Yuexian Zou
    arXiv preprint arXiv:2403.07944 , 2024
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
    Medical Image Analysis (MedIA), 2024
  9. 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
  10. 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

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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  13. 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

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
  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
  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
  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
  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
  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
  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
  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
  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

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
  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
  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

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
  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
  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

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