Multiple Object Tracking (MOT) aims to find bounding boxes and identitie...
One of the recent trends in vision problems is to use natural language
c...
The development of autonomous vehicles generates a tremendous demand for...
This paper aims to tackle Multiple Object Tracking (MOT), an important
p...
The development of autonomous vehicles provides an opportunity to have a...
Multi-Camera Multiple Object Tracking (MC-MOT) is a significant computer...
In recent years, deep neural networks have achieved state-of-the-art
per...
Disentangled representations have been commonly adopted to Age-invariant...
Unveiling face images of a subject given his/her high-level representati...
Large-scale face recognition in-the-wild has been recently achieved matu...
Group-level emotion recognition (ER) is a growing research area as the
d...
This paper presents a novel approach for synthesizing automatically
age-...
Deep neural networks have been widely used in numerous computer vision
a...
Face Aging has raised considerable attentions and interest from the comp...
This paper presents a novel Generative Probabilistic Modeling under an
I...
Modeling the long-term facial aging process is extremely challenging due...
This paper presents a novel Robust Deep Appearance Models to learn the
n...
Modeling the face aging process is a challenging task due to large and
n...