Space-time representation of people based on 3D skeletal data: A review
Spatiotemporal human representation based on 3D visual perception data is a rapidly
growing research area. Representations can be broadly categorized into two groups …
growing research area. Representations can be broadly categorized into two groups …
EHPE: Skeleton cues-based gaussian coordinate encoding for efficient human pose estimation
Human pose estimation (HPE) has many wide applications such as multimedia processing,
behavior understanding and human-computer interaction. Most previous studies have …
behavior understanding and human-computer interaction. Most previous studies have …
LDCNet: limb direction cues-aware network for flexible human pose estimation in industrial behavioral biometrics systems
Two-dimensional human pose estimation (HPE) has been widely used in the many fields,
such as behavioral understanding, identity authentication, and industrial automatic …
such as behavioral understanding, identity authentication, and industrial automatic …
A review: Point cloud-based 3d human joints estimation
Joint estimation of the human body is suitable for many fields such as human–computer
interaction, autonomous driving, video analysis and virtual reality. Although many depth …
interaction, autonomous driving, video analysis and virtual reality. Although many depth …
Multiple sclerosis identification by convolutional neural network with dropout and parametric ReLU
Multiple sclerosis is a condition affecting brain and/or spinal cord. Based on deep learning,
this study aims to develop an improved convolutional neural network system. We collected …
this study aims to develop an improved convolutional neural network system. We collected …
Using a single rgb frame for real time 3d hand pose estimation in the wild
P Panteleris, I Oikonomidis… - 2018 IEEE Winter …, 2018 - ieeexplore.ieee.org
We present a method for the real-time estimation of the full 3D pose of one or more human
hands using a single commodity RGB camera. Recent work in the area has displayed …
hands using a single commodity RGB camera. Recent work in the area has displayed …
Memory attention networks for skeleton-based action recognition
Skeleton-based action recognition has been extensively studied, but it remains an unsolved
problem because of the complex variations of skeleton joints in 3-D spatiotemporal space …
problem because of the complex variations of skeleton joints in 3-D spatiotemporal space …
Polarimetric synthetic aperture radar image segmentation by convolutional neural network using graphical processing units
SH Wang, J Sun, P Phillips, G Zhao… - Journal of Real-Time …, 2018 - Springer
Image segmentation is an important application of polarimetric synthetic aperture radar. This
study aimed to create an 11-layer deep convolutional neural network for this task. The Pauli …
study aimed to create an 11-layer deep convolutional neural network for this task. The Pauli …
Automatic modulation classification based on deep learning for unmanned aerial vehicles
Deep learning has recently attracted much attention due to its excellent performance in
processing audio, image, and video data. However, few studies are devoted to the field of …
processing audio, image, and video data. However, few studies are devoted to the field of …
LCANet: End-to-end lipreading with cascaded attention-CTC
Machine lipreading is a special type of automatic speech recognition (ASR) which
transcribes human speech by visually interpreting the movement of related face regions …
transcribes human speech by visually interpreting the movement of related face regions …