Fengbei Liu

I am currently a Ph.D student at Australian Insitute for Machine Learning (AIML), University of Adelaide, supervised by Prof. Gustavo Carneiro and Prof. Mark Jenkinson. Previously, I obtained bachelor's degree in computer science with First Class Honours at University of Adelaide in 2019.

Selected Publications

For full list please refer to Google Scholar

Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification
Yuanhong Chen*, Fengbei Liu*, Yu Tian, Yuyuan Liu, Gustavo Carneiro.
Arxiv Preprint
[Arxiv]

Self-supervised Multi-class Pre-training for Unsupervised Anomaly Detection and Segmentation in Medical Images
Yu Tian*, Fengbei Liu*, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro.
Arxiv Preprint
[Arxiv]

NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification
Fengbei Liu, Yuanhong Chen, Yu Tian, Yuyuan Liu, Chong Wang, Vasileios Belagiannis, Gustavo Carneiro.
MICCAI 2022 (Early Accept)
[Arxiv] [Code]

ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
Fengbei Liu*, Yu Tian*, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro.
CVPR 2022
[Arxiv] [Code]

Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro.
MICCAI 2021 MLMI Workshop
[Arxiv] [Code]

Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy
Fengbei Liu, Yaqub Jonmohamadi, Gabriel Maicas, Ajay K. Pandey, Gustavo Carneiro.
MICCAI 2020
[Arxiv]

Professional Activities

Reviewer: ICCV 2021, MICCAI 2021, CVPR 2022, ECCV 2022, BMVC 2022