| 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 | 417 | 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 | 268 | 2022 |
| Deep One-Class Classification via Interpolated Gaussian Descriptor Y Chen*, Y Tian*, G Pang, G Carneiro 🏆 AAAI'22 (Oral), 2022 | 134* | 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 | 119 | 2022 |
| Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection Q Zhou*, G Pang*, Y Tian, S He, J Chen ICLR'24, 2024 | 89 | 2024 |
| 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 | 87 | 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 | 82 | 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 | 53 | 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, J Verjans, R Singh, G Carneiro Medical Image Analysis, 2023 | 45 | 2023 |
| Few-shot anomaly detection for polyp frames from colonoscopy Y Tian, G Maicas, LZCT Pu, R Singh, JW Verjans, G Carneiro MICCAI'20, 2020 | 43 | 2020 |
| 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 |
| 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 | 37 | 2023 |
| One-stage five-class polyp detection and classification Y Tian, LZCT Pu, R Singh, AD Burt, G Carneiro ISBI'19, 2019 | 36 | 2019 |
| 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 | 35 | 2023 |
| 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 | 30 | 2022 |
| FairCLIP: Harnessing Fairness in Vision-and-Language Learning Y Luo, M Khan, M Afzal, H Huang, S Yuan, M Shi, Y Tian, T Elze, M Wang CVPR'24, 2024 | 23 | 2024 |
| Photoshopping colonoscopy video frames Y Liu*, Y Tian*, G Maicas, LZCT Pu, R Singh, JW Verjans, G Carneiro ISBI'20, 2020 | 23 | 2020 |
| FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling Y Tian, M Shi, Y Luo, A Kouhana, T Elze, M Wang The Twelfth International Conference on Learning Representations (ICLR'24), 2024 | 20* | 2024 |
| 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 | 20 | 2022 |
| 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 | 20* | 2022 |
Gustavo CarneiroProfessor of AI and Machine Learning, University of Surreysurrey.ac.uk의 이메일 확인됨