123 citations · 428 across the 18 of their papers we have counts for
18 papers
Network Denoising Revisited: A Ricci-Flow-Inspired Graph Diffusion Method
Ye Fang, Chuan-Xian Ren
Networks provide a fundamental representation of relationships among entities. However, real-world networks are often corrupted by noise caused by measurement errors and inherent s…
Adaptive Texture Filtering for Single-Domain Generalized Segmentation
Xinhui Li, Mingjia Li, Yaxing Wang +2
Domain generalization in semantic segmentation aims to alleviate the performance degradation on unseen domains through learning domain-invariant features. Existing methods diversif…
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised Domain Adaptation
Yong-Hui Liu, Chuan-Xian Ren, Xiao-Lin Xu +1
Unsupervised domain adaptation (UDA) is one of the prominent tasks of transfer learning, and it provides an effective approach to mitigate the distribution shift between the labele…
Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm
You-Wei Luo, Chuan-Xian Ren
As a fundamental problem in machine learning, dataset shift induces a paradigm to learn and transfer knowledge under changing environment. Previous methods assume the changes are i…
Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain
Ren Chuan-Xian, Liu Yong-Hui, Zhang Xi-Wen +1
Multi-source domain adaptation (MDA) aims to transfer knowledge from multiple source domains to an unlabeled target domain. MDA is a challenging task due to the severe domain shift…
SPNet: A novel deep neural network for retinal vessel segmentation based on shared decoder and pyramid-like loss
Geng-Xin Xu, Chuan-Xian Ren
Segmentation of retinal vessel images is critical to the diagnosis of retinopathy. Recently, convolutional neural networks have shown significant ability to extract the blood vesse…
Towards Unsupervised Domain Adaptation via Domain-Transformer
Ren Chuan-Xian, Zhai Yi-Ming, Luo You-Wei +1
As a vital problem in pattern analysis and machine intelligence, Unsupervised Domain Adaptation (UDA) attempts to transfer an effective feature learner from a labeled source domain…
Geometry-Aware Unsupervised Domain Adaptation
You-Wei Luo, Chuan-Xian Ren, Zi-Ying Chen
Unsupervised Domain Adaptation (UDA) aims to transfer the knowledge from the labeled source domain to the unlabeled target domain in the presence of dataset shift. Most existing me…
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation
Geng-Xin Xu, Chen Liu, Jun Liu +9
Early and accurate severity assessment of Coronavirus disease 2019 (COVID-19) based on computed tomography (CT) images offers a great help to the estimation of intensive care unit…
Conditional Bures Metric for Domain Adaptation
You-Wei Luo, Chuan-Xian Ren
As a vital problem in classification-oriented transfer, unsupervised domain adaptation (UDA) has attracted widespread attention in recent years. Previous UDA methods assume the mar…
Learning Target Domain Specific Classifier for Partial Domain Adaptation
Chuan-Xian Ren, Pengfei Ge, Peiyi Yang +1
Unsupervised domain adaptation~(UDA) aims at reducing the distribution discrepancy when transferring knowledge from a labeled source domain to an unlabeled target domain. Previous…
Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification
Chuan-Xian Ren, Pengfei Ge, Dao-Qing Dai +1
Conditional Maximum Mean Discrepancy (CMMD) can capture the discrepancy between conditional distributions by drawing support from nonlinear kernel functions, thus it has been succe…
Dual Adversarial Auto-Encoders for Clustering
Pengfei Ge, Chuan-Xian Ren, Jiashi Feng +1
As a powerful approach for exploratory data analysis, unsupervised clustering is a fundamental task in computer vision and pattern recognition. Many clustering algorithms have been…
Unsupervised Domain Adaptation via Discriminative Manifold Propagation
You-Wei Luo, Chuan-Xian Ren, Dao-Qing Dai +1
Unsupervised domain adaptation is effective in leveraging rich information from a labeled source domain to an unlabeled target domain. Though deep learning and adversarial strategy…
Discriminative Residual Analysis for Image Set Classification with Posture and Age Variations
Chuan-Xian Ren, You-Wei Luo, Xiao-Lin Xu +2
Image set recognition has been widely applied in many practical problems like real-time video retrieval and image caption tasks. Due to its superior performance, it has grown into…
Domain Adaptation and Image Classification via Deep Conditional Adaptation Network
Pengfei Ge, Chuan-Xian Ren, Dao-Qing Dai +1
Unsupervised domain adaptation aims to generalize the supervised model trained on a source domain to an unlabeled target domain. Marginal distribution alignment of feature spaces i…
Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment
You-Wei Luo, Chuan-Xian Ren, Pengfei Ge +2
Unsupervised domain adaptation is effective in leveraging the rich information from the source domain to the unsupervised target domain. Though deep learning and adversarial strate…
Domain Adaptive Person Re-Identification via Camera Style Generation and Label Propagation
Chuan-Xian Ren, Bo-Hua Liang, Zhen Lei
Unsupervised domain adaptation in person re-identification resorts to labeled source data to promote the model training on target domain, facing the dilemmas caused by large domain…