9 citations · 22 across the 5 of their papers we have counts for
10 papers
Is an Affine Constraint Needed for Affine Subspace Clustering?
Chong You, Chun-Guang Li, Daniel P. Robinson +1
Subspace clustering methods based on expressing each data point as a linear combination of other data points have achieved great success in computer vision applications such as mot…
Stochastic Sparse Subspace Clustering
Ying Chen, Chun-Guang Li, Chong You
State-of-the-art subspace clustering methods are based on self-expressive model, which represents each data point as a linear combination of other data points. By enforcing such re…
Self-Supervised Convolutional Subspace Clustering Network
Junjian Zhang, Chun-Guang Li, Chong You +4
Subspace clustering methods based on data self-expression have become very popular for learning from data that lie in a union of low-dimensional linear subspaces. However, the appl…
On Geometric Analysis of Affine Sparse Subspace Clustering
Chun-Guang Li, Chong You, René Vidal
Sparse subspace clustering (SSC) is a state-of-the-art method for segmenting a set of data points drawn from a union of subspaces into their respective subspaces. It is now well un…
Constrained Sparse Subspace Clustering with Side-Information
Chun-Guang Li, Junjian Zhang, Jun Guo
Subspace clustering refers to the problem of segmenting high dimensional data drawn from a union of subspaces into the respective subspaces. In some applications, partial side-info…
Density-Adaptive Kernel based Efficient Reranking Approaches for Person Reidentification
Ruo-Pei Guo, Chun-Guang Li, Yonghua Li +2
Person reidentification (ReID) refers to the task of verifying the identity of a pedestrian observed from nonoverlapping views in a surveillance camera network. It has recently bee…