Yuanhong Chen

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 44

Top Topics

Anomaly Detection

Top Venues

Publications

Yuanhong Chen, Yuyuan Liu, Chong Wang, Michael Elliott, Chun Fung Kwok, Carlos A. Peña-Solórzano, Yu Tian, Fengbei Liu, Helen Frazer, Davis J. McCarthy, Gustavo Carneiro
BRAIxDet: Learning to detect malignant breast lesion with incomplete annotations. Medical Image Anal. 96 (2024)
Hu Wang, Congbo Ma, Yuyuan Liu, Yuanhong Chen, Yu Tian, Jodie Avery, Louise Hull, Gustavo Carneiro
Enhancing Multi-modal Learning: Meta-learned Cross-modal Knowledge Distillation for Handling Missing Modalities. CoRR (2024)
Yuanhong Chen, Chong Wang, Yuyuan Liu, Hu Wang, Gustavo Carneiro
CPM: Class-conditional Prompting Machine for Audio-visual Segmentation. CoRR (2024)
Chong Wang, Yuanhong Chen, Fengbei Liu, Michael Elliott, Chun Fung Kwok, Carlos Pena-Solorzano, Helen Frazer, Davis James McCarthy, Gustavo Carneiro
An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning. IEEE Trans. Medical Imaging 43 (1) (2024)
Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. CoRR (2024)
Yuanhong Chen, Fengbei Liu, Hu Wang, Chong Wang, Yuyuan Liu, Yu Tian, Gustavo Carneiro
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification. ICCV (2023)
Chong Wang, Yuanhong Chen, Fengbei Liu, Davis James McCarthy, Helen Frazer, Gustavo Carneiro
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification. CoRR (2023)
Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
Learning Support and Trivial Prototypes for Interpretable Image Classification. CoRR (2023)
Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling. CVPR (2023)
Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling. CoRR (2023)
Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. CoRR (2023)
Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Mengyu Wang, Gustavo Carneiro
Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. MLMI@MICCAI (2) (2023)
Fengbei Liu, Yuanhong Chen, Chong Wang, Yuyuan Liu, Gustavo Carneiro
Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior. CoRR (2023)
Yifan Lin, Zhen Gao, Yuanhong Chen, Xiang Sun
A Dynamic Mode Decomposition Based Reduced-Order Model For Parameterized Time-Dependent Partial Differential Equations. J. Sci. Comput. 95 (3) (2023)
Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Gustavo Carneiro
A Closer Look at Audio-Visual Semantic Segmentation. CoRR (2023)
Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
Learning Support and Trivial Prototypes for Interpretable Image Classification. ICCV (2023)
Fengbei Liu, Yuanhong Chen, Chong Wang, Yu Tian, Gustavo Carneiro
Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning. CoRR (2023)
Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. Medical Image Anal. 90 (2023)
Yuanhong Chen, Yuyuan Liu, Chong Wang, Michael Elliott, Chun Fung Kwok, Carlos Pe na-Solorzano, Yu Tian, Fengbei Liu, Helen Frazer, Davis J. McCarthy, Gustavo Carneiro
BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations. CoRR (2023)
Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro
Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. ECCV (39) (2022)
Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CVPR (2022)
Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan W. Verjans, Gustavo Carneiro
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. CoRR (2022)
Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction. ECCV (37) (2022)
Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. CoRR (2022)
Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification. CVPR (2022)
Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. CoRR (2022)
Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder. CoRR (2022)
Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Yuyuan Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. MICCAI (3) (2022)
Yuyuan Liu, Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
Translation Consistent Semi-supervised Segmentation for 3D Medical Images. CoRR (2022)
Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro
Deep One-Class Classification via Interpolated Gaussian Descriptor. AAAI (2022)
Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro
Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. MICCAI (3) (2022)
Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. MICCAI (3) (2022)
Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction. CoRR (2022)
Yuanhong Chen, Fengbei Liu, Yu Tian, Yuyuan Liu, Gustavo Carneiro
Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification. CoRR (2022)
Fengbei Liu, Yuanhong Chen, Yu Tian, Yuyuan Liu, Chong Wang, Vasileios Belagiannis, Gustavo Carneiro
NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification. MICCAI (3) (2022)
Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. MICCAI (5) (2021)
Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. ICCV (2021)
Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation. CoRR (2021)
Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro
ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification. CoRR (2021)
Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. CoRR (2021)
Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro
Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors. CoRR (2021)
Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. CoRR (2021)
Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CoRR (2021)
Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features. CoRR (2021)