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Fengbei Liu
Fengbei Liu
Verified email at cornell.edu
Title
Cited by
Cited by
Year
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
Y Liu, Y Tian, Y Chen, F Liu, V Belagiannis, G Carneiro
CVPR 2022, 2021
1762021
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
F Liu*, Y Tian*, Y Chen, Y Liu, V Belagiannis, G Carneiro
CVPR 2022, 2021
822021
Constrained contrastive distribution learning for unsupervised anomaly detection and localisation in medical images
Y Tian, G Pang, F Liu, Y Chen, SH Shin, JW Verjans, R Singh, G Carneiro
MICCAI 2021, 128-140, 2021
742021
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-Oral 2022, 2021
602021
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 2021, 2021
432021
Automatic segmentation of multiple structures in knee arthroscopy using deep learning
Y Jonmohamadi, Y Takeda, F Liu, F Sasazawa, G Maicas, R Crawford, ...
IEEE access 8, 51853-51861, 2020
292020
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
282023
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, ...
International Workshop on Machine Learning in Medical Imaging, 11-21, 2023
242023
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 2022, 2022
182022
Self-supervised depth estimation to regularise semantic segmentation in knee arthroscopy
F Liu, Y Jonmohamadi, G Maicas, AK Pandey, G Carneiro
MICCAI 2020, 594-603, 2020
172020
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 2022, arXiv: 2103.04053, 2022
15*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 2023, arXiv preprint arXiv:2301.04011, 2023
132023
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 2022, 14-24, 2022
132022
3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training
Y Jonmohamadi, S Ali, F Liu, J Roberts, R Crawford, G Carneiro, ...
MICCAI 2021, 2021
112021
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 2022, 3-13, 2022
102022
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
82022
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 2023, arXiv preprint arXiv:2203.01937, 2022
6*2022
An interpretable and accurate deep-learning diagnosis framework modelled with fully and semi-supervised reciprocal learning
C Wang, Y Chen, F Liu, M Elliott, CF Kwok, C Pena-Solorzano, H Frazer, ...
IEEE Transactions on Medical Imaging, 2023
52023
Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation
Y Chen, Y Liu, H Wang, F Liu, C Wang, H Frazer, G Carneiro
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
4*2024
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification
C Wang, Y Chen, F Liu, DJ McCarthy, H Frazer, G Carneiro
arXiv preprint arXiv:2312.00092, 2023
22023
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Articles 1–20