| 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 | 266 | 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, 2021 | 117 | 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), 2021 | 82 | 2021 |
| 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, JW Verjans, R Singh, G Carneiro Medical image analysis 90, 102930, 2023 | 44 | 2023 |
| 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, 2022 | 38 | 2022 |
| 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'23, 2022 | 35 | 2022 |
| Contrastive transformer-based multiple instance learning for weakly supervised polyp frame detection Y Tian, G Pang, F Liu, Y Liu, C Wang, Y Chen, J Verjans, G Carneiro MICCAI'22, 88-98, 2022 | 31 | 2022 |
| Photoshopping colonoscopy video frames Y Liu, Y Tian, G Maicas, LZCT Pu, R Singh, JW Verjans, G Carneiro ISBI'20, 2020 | 23 | 2020 |
| 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 | 21 | 2023 |
| NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification F Liu, Y Chen, Y Tian, Y Liu, C Wang, V Belagiannis, G Carneiro MICCAI'22, 544-553, 2022 | 20* | 2022 |
| 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, 14-24, 2022 | 20 | 2022 |
| Multi-view local co-occurrence and global consistency learning improve mammogram classification generalisation Y Chen, H Wang, C Wang, Y Tian, F Liu, Y Liu, M Elliott, DJ McCarthy, ... MICCAI'22, 3-13, 2022 | 19 | 2022 |
| Detecting, localizing 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, 425-450, 2024 | 17 | 2024 |
| Translation consistent semi-supervised segmentation for 3d medical images Y Liu, Y Tian, C Wang, Y Chen, F Liu, V Belagiannis, G Carneiro IEEE Transactions on Medical Imaging, 2024 | 14 | 2024 |
| Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation Y Chen*, Y Liu*, H Wang, F Liu, C Wang, H Frazer, G Carneiro CVPR'24, 2024 | 13* | 2024 |
| BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification Y Chen, F Liu, H Wang, C Wang, Y Tian, Y Liu, G Carneiro ICCV'23, 2022 | 9 | 2022 |
| Braixdet: Learning to detect malignant breast lesion with incomplete annotations Y Chen, Y Liu, C Wang, M Elliott, CF Kwok, C Peña-Solorzano, Y Tian, ... Medical image analysis 96, 103192, 2024 | 3 | 2024 |
| ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation Y Liu, Y Chen, H Wang, V Belagiannis, I Reid, G Carneiro ECCV'24, 2024 | 1 | 2024 |
| Mixture of gaussian-distributed prototypes with generative modelling for interpretable and trustworthy image recognition C Wang, Y Chen, F Liu, Y Liu, DJ McCarthy, H Frazer, G Carneiro arXiv preprint arXiv:2312.00092, 2023 | 1 | 2023 |
| Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior F Liu, Y Chen, C Wang, Y Liu, G Carneiro | 1 | 2023 |
Gustavo CarneiroProfessor of AI and Machine Learning, University of Surreyایمیل تأیید شده در surrey.ac.uk