research
∙
09/02/2023
Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction
Most existing MRI reconstruction methods perform tar-geted reconstructio...
share
research
∙
05/22/2023
ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition
Human activity recognition (HAR) is one of the core research themes in u...
research
∙
12/23/2022
Simple Yet Surprisingly Effective Training Strategies for LSTMs in Sensor-Based Human Activity Recognition
Human Activity Recognition (HAR) is one of the core research areas in mo...
research
∙
12/15/2022
Universal Generative Modeling in Dual-domain for Dynamic MR Imaging
Dynamic magnetic resonance image reconstruction from incomplete k-space ...
research
∙
08/19/2022
Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition
In this paper, we study the problem of one-shot skeleton-based action re...
research
∙
08/15/2022
One-shot Generative Prior Learned from Hankel-k-space for Parallel Imaging Reconstruction
Magnetic resonance imaging serves as an essential tool for clinical diag...
research
∙
07/19/2022
On the development of a Bayesian optimisation framework for complex unknown systems
Bayesian optimisation provides an effective method to optimise expensive...
research
∙
03/21/2022
K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction
Decreasing magnetic resonance (MR) image acquisition times can potential...
research
∙
02/15/2022
Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition
In wearable-based human activity recognition (HAR) research, one of the ...
research
∙
11/19/2021
Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing
Sleep is a fundamental physiological process that is essential for susta...
research
∙
11/01/2021
LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for Skeleton-based Action Recognition
Modelling various spatio-temporal dependencies is the key to recognising...
research
∙
09/07/2021
MRI Reconstruction Using Deep Energy-Based Model
Purpose: Although recent deep energy-based generative models (EBMs) have...
research
∙
08/31/2021
S4-Crowd: Semi-Supervised Learning with Self-Supervised Regularisation for Crowd Counting
Crowd counting has drawn more attention because of its wide application ...
research
∙
08/10/2021
Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition
The task of skeleton-based action recognition remains a core challenge i...
research
∙
08/09/2021
Towards Automated Fatigue Assessment using Wearable Sensing and Mixed-Effects Models
Fatigue is a broad, multifactorial concept that includes the subjective ...
research
∙
08/08/2021
Discriminative Latent Semantic Graph for Video Captioning
Video captioning aims to automatically generate natural language sentenc...
research
∙
01/26/2021
New Riemannian preconditioned algorithms for tensor completion via polyadic decomposition
We propose new Riemannian preconditioned algorithms for low-rank tensor ...
research
∙
11/11/2020
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization
Learning discriminative and invariant feature representation is the key ...
research
∙
09/27/2020
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model
Dose reduction in computed tomography (CT) is essential for decreasing r...
research
∙
09/17/2020
Automated Stroke Rehabilitation Assessment using Wearable Accelerometers in Free-Living Environments
Stroke is known as a major global health problem, and for stroke survivo...
research
∙
08/28/2020
Alternating minimization algorithms for graph regularized tensor completion
We consider a low-rank tensor completion (LRTC) problem which aims to re...
research
∙
08/19/2020
Query Twice: Dual Mixture Attention Meta Learning for Video Summarization
Video summarization aims to select representative frames to retain high-...
research
∙
08/09/2020
SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting
Automated crowd counting from images/videos has attracted more attention...
research
∙
08/06/2020
Fatigue Assessment using ECG and Actigraphy Sensors
Fatigue is one of the key factors in the loss of work efficiency and hea...
research
∙
06/29/2020
Building Rule Hierarchies for Efficient Logical Rule Learning from Knowledge Graphs
Many systems have been developed in recent years to mine logical rules f...
research
∙
06/11/2020
Sovereign: User-Controlled Smart Homes
Smart homes made up of Internet of Things (IoT) devices have seen wide d...
research
∙
03/13/2020
Efficient Rule Learning with Template Saturation for Knowledge Graph Completion
The logic-based methods that learn first-order rules from knowledge grap...
research
∙
11/11/2019
Pano: Optimizing 360° Video Streaming with a Better Understanding of Quality Perception
Streaming 360 videos requires more bandwidth than non-360 videos. This i...
research
∙
10/11/2019
Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey
Machine Learning (ML) and Internet of Things (IoT) are complementary adv...
research
∙
07/27/2019
ActShare: Sensitive Data Sharing with Reliable Leaker Identification
Data sharing among multiple parties becomes increasingly common today, s...
research
∙
07/20/2019
Order Matters: Shuffling Sequence Generation for Video Prediction
Predicting future frames in natural video sequences is a new challenge t...
research
∙
04/15/2019
Consistent Dynamic CDN Server Assignment for Online Video Streaming with Optimality Guarantees
Server assignment plays an essential part in Content Delivery Network (C...
research
∙
04/15/2019
Consistent Dynamic Server Assignment in Content Delivery Network
Server assignment is an essential part in Content Delivery Network (CDN)...
research
∙
02/21/2019
Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers
Perinatal stroke (PS) is a serious condition that, if undetected and thu...
research
∙
11/26/2018
Robust Cross-View Gait Identification with Evidence: A Discriminant Gait GAN (DiGGAN) Approach on 10000 People
Gait is an important biometric trait for surveillance and forensic appli...
research
∙
11/14/2018
UtilCache: Effectively and Practicably Reducing Link Cost in Information-Centric Network
Minimizing total link cost in Information-Centric Network (ICN) by optim...
research
∙
09/26/2018
Co-sleep: Design for workplace based wellness program to raise awareness of sleep deprivation
Sleep deprivation is a public health issue. A lack of sleep not only har...
research
∙
03/22/2018
Towards Universal Representation for Unseen Action Recognition
Unseen Action Recognition (UAR) aims to recognise novel action categorie...
research
∙
03/28/2017