59 citations · 129 across the 6 of their papers we have counts for
6 papers
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…
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…