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Face Clustering in the videos

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Latest papers without code

Orthogonal Subspace Decomposition: A New Perspective of Learning Discriminative Features for Face Clustering

1 Jan 2021

Learning discriminative node features is the key to further improve the performance of graph-based face clustering.

FACE CLUSTERING

A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers

9 Oct 2020

Discovering and accessing specific content within educational video bases is a challenging task, mainly because of the abundance of video content and its diversity.

FACE CLUSTERING RECOMMENDATION SYSTEMS SPEECH RECOGNITION

Multi-Face: Self-supervised Multiview Adaptation for Robust Face Clustering in Videos

25 Aug 2020

Face clustering for long-form content such as movies is challenging because of variations in appearance and lack of large-scale labeled video resources.

DOMAIN ADAPTATION FACE CLUSTERING FACE VERIFICATION

Dynamic Character Graph via Online Face Clustering for Movie Analysis

29 Jul 2020

An effective approach to automated movie content analysis involves building a network (graph) of its characters.

FACE CLUSTERING

Improving Face Recognition by Clustering Unlabeled Faces in the Wild

ECCV 2020

While deep face recognition has benefited significantly from large-scale labeled data, current research is focused on leveraging unlabeled data to further boost performance, reducing the cost of human annotation.

FACE CLUSTERING FACE RECOGNITION OUT-OF-DISTRIBUTION DETECTION SEMI-SUPERVISED IMAGE CLASSIFICATION

Density-Aware Feature Embedding for Face Clustering

CVPR 2020

In this paper, we propose a Density-Aware Feature Embedding Network (DA-Net) for the task of face clustering, which utilizes both local and non-local information, to learn a robust feature embedding.

FACE CLUSTERING

Is an Affine Constraint Needed for Affine Subspace Clustering?

ICCV 2019

Specifically, our analysis provides conditions that guarantee the correctness of affine subspace clustering methods both with and without the affine constraint, and shows that these conditions are satisfied for high-dimensional data.

FACE CLUSTERING MOTION SEGMENTATION

Clustering based Contrastive Learning for Improving Face Representations

5 Apr 2020

We demonstrate our method on the challenging task of learning representations for video face clustering.

FACE CLUSTERING REPRESENTATION LEARNING

Constructing the F-Graph with a Symmetric Constraint for Subspace Clustering

17 Dec 2019

Based on further studying the low-rank subspace clustering (LRSC) and L2-graph subspace clustering algorithms, we propose a F-graph subspace clustering algorithm with a symmetric constraint (FSSC), which constructs a new objective function with a symmetric constraint basing on F-norm, whose the most significant advantage is to obtain a closed-form solution of the coefficient matrix.

FACE CLUSTERING MOTION SEGMENTATION

Subspace Clustering with Active Learning

8 Nov 2019

In this paper, we propose an active learning framework for subspace clustering that sequentially queries informative points and updates the subspace model.

ACTIVE LEARNING FACE CLUSTERING MOTION SEGMENTATION