27 citations · 88 across the 13 of their papers we have counts for
5 papers · 1 filter
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
Chao Chen, Zhihang Fu, Zhihong Chen +4
Minimizing the discrepancy of feature distributions between different domains is one of the most promising directions in unsupervised domain adaptation. From the perspective of dis…
Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation
Zhihong Chen, Chao Chen, Zhaowei Cheng +3
One crucial aspect of partial domain adaptation (PDA) is how to select the relevant source samples in the shared classes for knowledge transfer. Previous PDA methods tackle this pr…
Towards Self-similarity Consistency and Feature Discrimination for Unsupervised Domain Adaptation
Chao Chen, Zhihang Fu, Zhihong Chen +3
Recent advances in unsupervised domain adaptation mainly focus on learning shared representations by global distribution alignment without considering class information across doma…
Truncated nuclear norm regularization for low-rank tensor completion
Shengke Xue, Wenyuan Qiu, Fan Liu +1
Recently, low-rank tensor completion has become increasingly attractive in recovering incomplete visual data. Considering a color image or video as a three-dimensional (3D) tensor,…
Double Weighted Truncated Nuclear Norm Regularization for Low-Rank Matrix Completion
Shengke Xue, Wenyuan Qiu, Fan Liu +1
Matrix completion focuses on recovering a matrix from a small subset of its observed elements, and has already gained cumulative attention in computer vision. Many previous approac…