Promoting fairness for deep clustering models in unsupervised clustering...
The research in self-supervised domain adaptation in semantic segmentati...
Understanding semantic scene segmentation of urban scenes captured from ...
Micro-expression recognition is one of the most challenging topics in
af...
The development of autonomous vehicles generates a tremendous demand for...
In this work, we investigate the problem of face reconstruction given a
...
This paper aims to tackle Multiple Object Tracking (MOT), an important
p...
The development of autonomous vehicles provides an opportunity to have a...
Human action recognition has recently become one of the popular research...
Semantic segmentation aims to predict pixel-level labels. It has become ...
Turn-taking has played an essential role in structuring the regulation o...
Multi-Camera Multiple Object Tracking (MC-MOT) is a significant computer...
Disentangled representations have been commonly adopted to Age-invariant...
Unveiling face images of a subject given his/her high-level representati...
Recognition across domains has recently become an active topic in the
re...
Large-scale face recognition in-the-wild has been recently achieved matu...
Flow-based generative models have recently become one of the most effici...
Recognition across domains has recently become an active topic in the
re...
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...