Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning Y Tian, G Pang, Y Chen, R Singh, JW Verjans, G Carneiro ICCV'21, 2021 | 291 | 2021 |
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation Y Liu, Y Tian, Y Chen, F Liu, V Belagiannis, G Carneiro CVPR'22, 2022 | 173 | 2022 |
Deep One-Class Classification via Interpolated Gaussian Descriptor Y Chen*, Y Tian*, G Pang, G Carneiro AAAI'22 (Oral), 2022 | 112* | 2022 |
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification F Liu*, Y Tian*, Y Chen, Y Liu, V Belagiannis, G Carneiro CVPR'22, 2022 | 81 | 2022 |
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images Y Tian, G Pang, F Liu, SH Shin, JW Verjans, R Singh, G Carneiro MICCAI'21, 2021 | 74 | 2021 |
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes Y Tian, Y Liu, G Pang, F Liu, Y Chen, G Carneiro ECCV'22 (Oral), 2022 | 58 | 2022 |
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification F Liu*, Y Tian*, FR Cordeiro, V Belagiannis, I Reid, G Carneiro MICCAI-MLMI'21, 2021 | 43 | 2021 |
Computer-aided diagnosis for characterization of colorectal lesions: comprehensive software that includes differentiation of serrated lesions LZCT Pu, G Maicas, Y Tian, T Yamamura, M Nakamura, H Suzuki, ... Gastrointestinal endoscopy 92 (4), 891-899, 2020 | 40* | 2020 |
Few-shot anomaly detection for polyp frames from colonoscopy Y Tian, G Maicas, LZCT Pu, R Singh, JW Verjans, G Carneiro MICCAI'20, 2020 | 36 | 2020 |
One-stage five-class polyp detection and classification Y Tian, LZCT Pu, R Singh, AD Burt, G Carneiro ISBI'19, 2019 | 32 | 2019 |
Self-supervised Pseudo Multi-class Pre-training for Unsupervised Anomaly Detection and Segmentation in Medical Images Y Tian, F Liu, G Pang, Y Chen, Y Liu, J Verjans, R Singh, G Carneiro Medical Image Analysis, 2023 | 28 | 2023 |
Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection Q Zhou, G Pang, Y Tian, S He, J Chen ICLR'24, 2024 | 25 | 2024 |
Unsupervised anomaly detection in medical images with a memory-augmented multi-level cross-attentional masked autoencoder Y Tian, G Pang, Y Liu, C Wang, Y Chen, F Liu, R Singh, JW Verjans, ... MICCAI-MLMI'23, 2023 | 24 | 2023 |
Photoshopping colonoscopy video frames Y Liu*, Y Tian*, G Maicas, LZCT Pu, R Singh, JW Verjans, G Carneiro ISBI'20, 2020 | 22 | 2020 |
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection Y Tian, G Pang, F Liu, Y Liu, C Wang, Y Chen, JW Verjans, G Carneiro MICCAI'22 (Early Accept), 2022 | 18 | 2022 |
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation Y Liu, C Ding, Y Tian, G Pang, V Belagiannis, I Reid, G Carneiro ICCV'23, 2023 | 17 | 2023 |
NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification F Liu, Y Chen, Y Tian, L Yuyuan, W Chong, V Belagiannis, G Carneiro MICCAI'22 (Early Accept), 2022 | 14* | 2022 |
Learning Support and Trivial Prototypes for Interpretable Image Classification C Wang, Y Liu, Y Chen, F Liu, Y Tian, DJ McCarthy, H Frazer, G Carneiro ICCV'23, 2023 | 13 | 2023 |
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models C Wang, Y Chen, Y Liu, Y Tian, F Liu, DJ McCarthy, M Elliott, H Frazer, ... MICCAI'22 (Early Accept), 2022 | 13 | 2022 |
Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning Y Tian, LZCT Pu, Y Liu, G Maicas, JW Verjans, AD Burt, SH Shin, R Singh, ... Deep Learning for Medical Image Analysis, 2024 | 11 | 2024 |