Time series (TS) anomaly detection (AD) plays an essential role in vario...
Various deep learning techniques have been proposed to solve the single-...
The selective visual attention mechanism in the human visual system (HVS...
Time series is a special type of sequence data, a set of observations
co...
In Graph Neural Networks (GNNs), the embedding of each node is obtained ...
Sensor-based time series analysis is an essential task for applications ...
Human poses that are rare or unseen in a training set are challenging fo...
In this paper, we propose a two-stage fully 3D network, namely
DeepFuse,...
In this paper, we propose a novel structure-aware 3D hourglass network f...