We investigate a novel approach for image restoration by reinforcement learning. Unlike
existing studies that mostly train a single large network for a specialized task, we prepare a …

Face clustering is an essential tool for exploiting the unlabeled face data, and has a wide
range of applications including face annotation and retrieval. Recent works show that …

This paper is focused on the automatic extraction of persons and their attributes (gender,
year of born) from album of photos and videos. A two-stage approach is proposed in which …

A good clustering algorithm can discover natural grou**s in data. These grou**s, if used
wisely, provide a form of weak supervision for learning representations. In this work, we …

The objective of this work is person-clustering in videos--grou** characters according to
their identity. Previous methods focus on the narrower task of face-clustering, and for the …

Conventional unsupervised domain adaptation (UDA) studies the knowledge transfer
between a limited number of domains. This neglects the more practical scenario where data …

Face clustering plays an essential role in exploiting massive unlabeled face data. Recently,
graph-based face clustering methods are getting popular for their satisfying performances …

The main target of the work in this paper is to detect the gender and oldness of a person with
an accurate decision and efficient time based on the number of facial outward attributes …

The article describes an approach for extraction of user preferences based on the analysis
of a gallery of photos and videos on mobile device. It is proposed to firstly use fast SSD …

In this work, we introduce the Constrained first nearest neighbour Clustering (C1C) method
for video face clustering. Using the premise that the first nearest neighbour (1NN) of an …