Research
My main research interests are in the fields of computer vision and medical image analysis, in particular abnormality and rarity learning tasks, such as image/video anomaly detection for surveillance and industrial applications or early detection of diseases.
Selected Publications
* denotes equal contribution; ^ denotes corresponding authorship.
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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