activity
20152023
most citedStructured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework

248 citations · 428 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2023★ 4 cited

SiCL: Silhouette-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change

Mingkun Li, Peng Xu, Chun-Guang Li +1

In this paper, we address a highly challenging yet critical task: unsupervised long-term person re-identification with clothes change. Existing unsupervised person re-id methods ar…

cs.LG2020

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…

cs.LG2020★ 4 cited

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…

cs.CV2019★ 9 cited

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…

eess.SP2018★ 32 cited

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…

cs.CV2018

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…

cs.CV2018

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…

cs.CV2018★ 75 cited

Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification

Jianlou Si, Honggang Zhang, Chun-Guang Li +4

Typical person re-identification (ReID) methods usually describe each pedestrian with a single feature vector and match them in a task-specific metric space. However, the methods b…

cs.CV2016★ 248 cited

Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework

Chun-Guang Li, Chong You, René Vidal

Subspace clustering refers to the problem of segmenting data drawn from a union of subspaces. State-of-the-art approaches for solving this problem follow a two-stage approach. In t…

cs.LG2016★ 47 cited

Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering

Chong You, Chun-Guang Li, Daniel P. Robinson +1

State-of-the-art subspace clustering methods are based on expressing each data point as a linear combination of other data points while regularizing the matrix of coefficients with…

cs.CV2015★ 8 cited

HEp-2 Cell Classification via Fusing Texture and Shape Information

Xianbiao Qi, Guoying Zhao, Chun-Guang Li +2

Indirect Immunofluorescence (IIF) HEp-2 cell image is an effective evidence for diagnosis of autoimmune diseases. Recently computer-aided diagnosis of autoimmune diseases by IIF HE…

cs.CV2015★ 1 cited

Dynamic texture and scene classification by transferring deep image features

Xianbiao Qi, Chun-Guang Li, Guoying Zhao +2

Dynamic texture and scene classification are two fundamental problems in understanding natural video content. Extracting robust and effective features is a crucial step towards sol…