A literature survey on kinship verification through facial images
X Qin, D Liu, D Wang - Neurocomputing, 2020 - Elsevier
Kinship verification is an emerging task in computer vision which aims at finding out whether
there is a kin relation between given identities through their facial images. Applications of …
there is a kin relation between given identities through their facial images. Applications of …
Optimizing top precision performance measure of content-based image retrieval by learning similarity function
In this paper we study the problem of content-based image retrieval. In this problem, the
most popular performance measure is the top precision measure, and the most important …
most popular performance measure is the top precision measure, and the most important …
Predicting group cohesiveness in images
The cohesiveness of a group is an essential indicator of the emotional state, structure and
success of a group of people. We study the factors that influence the perception of group …
success of a group of people. We study the factors that influence the perception of group …
Automatic prediction of group cohesiveness in images
This article discusses the prediction of cohesiveness of a group of people in images. The
cohesiveness of a group is an essential indicator of the emotional state, structure, and …
cohesiveness of a group is an essential indicator of the emotional state, structure, and …
Leveraging multiple cues for recognizing family photos
Social relation analysis via images is a new research area that has attracted much interest
recently. As social media usage increases, a wide variety of information can be extracted …
recently. As social media usage increases, a wide variety of information can be extracted …
A new deep model for family and non-family photo identification
T Karnik, P Shivakumara, PN Chowdhury, U Pal… - Multimedia Tools and …, 2022 - Springer
Human trafficking is a global issue of the world and the problems related to human trafficking
remain unsolved. This paper presents a new method for the identification of photos of …
remain unsolved. This paper presents a new method for the identification of photos of …
Social relationships classification using social contextual features and SVDD-based metric learning
X Qin, D Liu, D Wang - Applied Soft Computing, 2019 - Elsevier
Family relationship is an important concern in image-based social relationships recognition,
and there are very limited attempts to tackle diverse social relationships in the literature. In …
and there are very limited attempts to tackle diverse social relationships in the literature. In …
Family photo recognition via multiple instance learning
Family photo recognition is an important task in social media analytics. Previous methods
use singleton global features and conventional binary classifiers to distinguish family group …
use singleton global features and conventional binary classifiers to distinguish family group …
[HTML][HTML] A geometric and fractional entropy-based method for family photo classification
MA Kaljahi, P Shivakumara, T Hu, HA Jalab… - Expert Systems with …, 2019 - Elsevier
Due to the power and impact of social media, unsolved practical issues such as human
trafficking, kinship recognition, and clustering family photos from large collections have …
trafficking, kinship recognition, and clustering family photos from large collections have …
Understanding More Types of Social Relationships Using Clothing and Distance Metric Learning
X Qin, D Liu, D Wang, B Gui - Neural Processing Letters, 2022 - Springer
Image-based social relationships classification is an emerging and challenging problem in
social media analysis. Practically, social relationships can provide intelligent entities with a …
social media analysis. Practically, social relationships can provide intelligent entities with a …