Hand Pose Estimation (HPE) is crucial to many applications, but conventi...
Real-world graphs, such as social networks, financial transactions, and
...
Object classification using LiDAR 3D point cloud data is critical for mo...
In knowledge distillation, previous feature distillation methods mainly ...
We propose a video feature representation learning framework called STAR...
After a survey for person-tracking system-induced privacy concerns, we
p...
We examine using data from multiple sensing modes, i.e., accelerometry a...
Graph Neural Networks (GNNs) have been widely used for modeling
graph-st...
Crown-of-Thorn Starfish (COTS) outbreaks are a major cause of coral loss...
Reinforcement Learning (RL) is a semi-supervised learning paradigm which...
Flexible endoscopy requires high skills to manipulate both the endoscope...
Studies show that Deep Neural Network (DNN)-based image classification m...
Zero-shot learning (ZSL) aims to recognize a set of unseen classes witho...
During the last decade, the deluge of multimedia data has impacted a wid...
The prediction of periodical time-series remains challenging due to vari...