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Face Clustering in the videos

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Greatest papers with code

Learning to Cluster Faces via Confidence and Connectivity Estimation

CVPR 2020 yl-1993/learn-to-cluster

With the vertex confidence and edge connectivity, we can naturally organize more relevant vertices on the affinity graph and group them into clusters.

CONNECTIVITY ESTIMATION FACE CLUSTERING

Linkage Based Face Clustering via Graph Convolution Network

CVPR 2019 yl-1993/learn-to-cluster

The key idea is that we find the local context in the feature space around an instance (face) contains rich information about the linkage relationship between this instance and its neighbors.

FACE CLUSTERING LINK PREDICTION

Sparse Subspace Clustering: Algorithm, Theory, and Applications

5 Mar 2012panji1990/Deep-subspace-clustering-networks

In this paper, we propose and study an algorithm, called Sparse Subspace Clustering (SSC), to cluster data points that lie in a union of low-dimensional subspaces.

FACE CLUSTERING MOTION SEGMENTATION

Video Face Clustering with Unknown Number of Clusters

ICCV 2019 makarandtapaswi/BallClustering_ICCV2019

Understanding videos such as TV series and movies requires analyzing who the characters are and what they are doing.

FACE CLUSTERING METRIC LEARNING

Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit

CVPR 2016 ChongYou/subspace-clustering

Subspace clustering methods based on $\ell_1$, $\ell_2$ or nuclear norm regularization have become very popular due to their simplicity, theoretical guarantees and empirical success.

FACE CLUSTERING

Self-Supervised Learning of Face Representations for Video Face Clustering

3 Mar 2019vivoutlaw/SSIAM

In this paper, we address video face clustering using unsupervised methods.

FACE CLUSTERING SELF-SUPERVISED LEARNING

AN ONLINE ALGORITHM FOR CONSTRAINED FACE CLUSTERING IN VIDEOS

International Conference on Image Processing (ICIP) 2018 ankuPRK/COFC

We address the problem of face clustering in long, real world videos. This is a challenging task because faces in such videos exhibit wid evariability in scale, pose, illumination, expressions, and may also be partially occluded.

FACE CLUSTERING ONLINE CLUSTERING

Robust Subspace Clustering via Tighter Rank Approximation

30 Oct 2015sckangz/arctangent

For this nonconvex minimization problem, we develop an effective optimization procedure based on a type of augmented Lagrange multipliers (ALM) method.

FACE CLUSTERING MOTION SEGMENTATION

Robust Subspace Clustering via Smoothed Rank Approximation

18 Aug 2015sckangz/logdet

However, for many real-world applications, nuclear norm approximation to the rank function can only produce a result far from the optimum.

FACE CLUSTERING MOTION SEGMENTATION