Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

Driven by key law enforcement and commercial applications, research on face recognition
from video sources has intensified in recent years. The ensuing results have demonstrated …

This paper presents a Neural Aggregation Network (NAN) for video face recognition. The
network takes a face video or face image set of a person with a variable number of face …

This paper presents a new discriminative deep metric learning (DDML) method for face
verification in the wild. Different from existing metric learning-based face verification …

Recognizing faces in unconstrained videos is a task of mounting importance. While
obviously related to face recognition in still images, it has its own unique characteristics and …

Conventional representation based classifiers, ranging from the classical nearest neighbor
classifier and nearest subspace classifier to the recently developed sparse representation …

We propose a novel discriminative learning approach to image set classification by
modeling the image set with its natural second-order statistic, ie covariance matrix. Since …

Telecom Companies logs customer's actions which generate a huge amount of data that can
bring important findings related to customer's behavior and needs. The main characteristics …

Abstract The manifold of Symmetric Positive Definite (SPD) matrices has been successfully
used for data representation in image set classification. By endowing the SPD manifold with …

The intensive annotation cost and the rich but unlabeled data contained in videos motivate
us to propose an unsupervised video-based person re-identification (re-ID) method. We start …