7 papers
HSTGFormer: Hyper Spatial-Temporal Graph Transformer for 3D Human Pose Estimation
Ruochen Li, Shuang Chen, Wenke E +2
Transformer-based methods have achieved strong performance in monocular 3D human pose estimation, but most existing approaches organise spatial and temporal reasoning as separate s…
CBANet: A Compact Attention-Based CNN-BiLSTM Network for Aggressive Driving Event Detection
Hanadi Alhamdan, Ghadah Alosaimi, Amir Atapour-Abarghouei +1
Aggressive driving is a major cause of traffic accidents and poses a serious threat to road safety. Although deep learning methods have shown promising results in detecting risky d…
UIESNN: A Scale-Aware Spiking Network for Underwater Image Enhancement
Shuang Chen, Ruochen Li, Zihan Zhu +3
Underwater image enhancement (UIE) is a practically important yet underexplored application of spiking neural networks (SNNs), where the dominant degradations are large-scale and l…
Motion-Adaptive Multi-Scale Temporal Modelling with Skeleton-Constrained Spatial Graphs for Efficient 3D Human Pose Estimation
Ruochen Li, Shuang Chen, Wenke E +2
Accurate 3D human pose estimation from monocular videos requires effective modelling of complex spatial and temporal dependencies. However, existing methods often face challenges i…
Exploring the Potentials of Spiking Neural Networks for Image Deraining
Shuang Chen, Tomas Krajnik, Farshad Arvin +1
Biologically plausible and energy-efficient frameworks such as Spiking Neural Networks (SNNs) have not been sufficiently explored in low-level vision tasks. Taking image deraining…
DEEP-SEA: Deep-Learning Enhancement for Environmental Perception in Submerged Aquatics
Shuang Chen, Ronald Thenius, Farshad Arvin +1
Continuous and reliable underwater monitoring is essential for assessing marine biodiversity, detecting ecological changes and supporting autonomous exploration in aquatic environm…