When virtual agents interact with humans, gestures are crucial to delive...
Recently, skeleton-based human action has become a hot research topic be...
Neural Architecture Search (NAS) for automatically finding the optimal
n...
In this paper, a deep learning-based model for 3D human motion generatio...
Keyword Spotting (KWS) is an essential component in a smart device for
a...
Graph convolutional networks (GCNs), which can model the human body skel...
Unseen noise signal which is not considered in a model training process ...
Adverse weather image translation belongs to the unsupervised image-to-i...
Due to the fast processing-speed and robustness it can achieve,
skeleton...
With the availability of many datasets tailored for autonomous driving i...
Anomaly detection in video streams is a challenging problem because of t...
A mixed sample data augmentation strategy is proposed to enhance the
per...
Coronavirus disease 2019 (COVID-19) is a Public Health Emergency of
Inte...
The goal of face attribute editing is altering a facial image according ...
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that h...
In machine learning, the performance of a classifier depends on both the...
Performance of learning based Automatic Speech Recognition (ASR) is
susc...
Simulators that generate observations based on theoretical models can be...
This paper describes an acoustic scene classification method which achie...
Recent acoustic event classification research has focused on training
su...
Recently in speaker recognition, performance degradation due to the chan...
In real-life conditions, mismatch between development and test domain
de...
Korea University Intelligent Signal Processing Lab. (KU-ISPL) developed
...