3.7k citations · 13.3k across the 162 of their papers we have counts for
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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…
Robust Recovery of Subspace Structures by Low-Rank Representation
Guangcan Liu, Zhouchen Lin, Shuicheng Yan +3
In this work we address the subspace recovery problem. Given a set of data samples (vectors) approximately drawn from a union of multiple subspaces, our goal is to segment the samp…