Most existing MRI reconstruction methods perform tar-geted reconstructio...
Human activity recognition (HAR) is one of the core research themes in
u...
Human Activity Recognition (HAR) is one of the core research areas in mo...
Dynamic magnetic resonance image reconstruction from incomplete k-space ...
In this paper, we study the problem of one-shot skeleton-based action
re...
Magnetic resonance imaging serves as an essential tool for clinical
diag...
Bayesian optimisation provides an effective method to optimise expensive...
Decreasing magnetic resonance (MR) image acquisition times can potential...
In wearable-based human activity recognition (HAR) research, one of the ...
Sleep is a fundamental physiological process that is essential for susta...
Modelling various spatio-temporal dependencies is the key to recognising...
Purpose: Although recent deep energy-based generative models (EBMs) have...
Crowd counting has drawn more attention because of its wide application ...
The task of skeleton-based action recognition remains a core challenge i...
Fatigue is a broad, multifactorial concept that includes the subjective
...
Video captioning aims to automatically generate natural language sentenc...
We propose new Riemannian preconditioned algorithms for low-rank tensor
...
Learning discriminative and invariant feature representation is the key ...
Dose reduction in computed tomography (CT) is essential for decreasing
r...
Stroke is known as a major global health problem, and for stroke survivo...
We consider a low-rank tensor completion (LRTC) problem which aims to re...
Video summarization aims to select representative frames to retain high-...
Automated crowd counting from images/videos has attracted more attention...
Fatigue is one of the key factors in the loss of work efficiency and
hea...
Many systems have been developed in recent years to mine logical rules f...
Smart homes made up of Internet of Things (IoT) devices have seen wide
d...
The logic-based methods that learn first-order rules from knowledge grap...
Streaming 360 videos requires more bandwidth than non-360 videos.
This i...
Machine Learning (ML) and Internet of Things (IoT) are complementary
adv...
Data sharing among multiple parties becomes increasingly common today, s...
Predicting future frames in natural video sequences is a new challenge t...
Server assignment plays an essential part in Content Delivery Network (C...
Server assignment is an essential part in Content Delivery Network (CDN)...
Perinatal stroke (PS) is a serious condition that, if undetected and thu...
Gait is an important biometric trait for surveillance and forensic
appli...
Minimizing total link cost in Information-Centric Network (ICN) by optim...
Sleep deprivation is a public health issue. A lack of sleep not only har...
Unseen Action Recognition (UAR) aims to recognise novel action categorie...
Recently, deep learning (DL) methods have been introduced very successfu...