yuyuan liu
yuyuan liu
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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
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
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
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
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
Photoshopping colonoscopy video frames
Y Liu, Y Tian, G Maicas, LZCT Pu, R Singh, JW Verjans, G Carneiro
ISBI'20, 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, 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
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
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
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
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
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
Translation consistent semi-supervised segmentation for 3d medical images
Y Liu, Y Tian, C Wang, Y Chen, F Liu, V Belagiannis, G Carneiro
arXiv preprint arXiv:2203.14523, 2022
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
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
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
Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior
F Liu, Y Chen, C Wang, Y Liu, G Carneiro
arXiv preprint arXiv:2308.01184, 2023
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