5 citations · 14 across the 4 of their papers we have counts for
4 papers
Label-Specific Training Set Construction from Web Resource for Image Annotation
Jinhui Tang, Shuicheng Yan, Tat-Seng Chua +1
Recently many research efforts have been devoted to image annotation by leveraging on the associated tags/keywords of web images as training labels. A key issue to resolve is the r…
Closed-Form Solutions to A Category of Nuclear Norm Minimization Problems
Guangcan Liu, Ju Sun, Shuicheng Yan
It is an efficient and effective strategy to utilize the nuclear norm approximation to learn low-rank matrices, which arise frequently in machine learning and computer vision. So t…
Selective Image Super-Resolution
Ju Sun, Qiang Chen, Shuicheng Yan +1
In this paper we propose a vision system that performs image Super Resolution (SR) with selectivity. Conventional SR techniques, either by multi-image fusion or example-based const…
Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees
Yuzhao Ni, Ju Sun, Xiaotong Yuan +2
Recently there is a line of research work proposing to employ Spectral Clustering (SC) to segment (group){Throughout the paper, we use segmentation, clustering, and grouping, and t…