Out of the estimated few trillion galaxies, only around a million have b...
This paper aims to detect rice field damage from natural disasters in
Ba...
While describing Spatio-temporal events in natural language, video capti...
Decomposition of the evidence lower bound (ELBO) objective of VAE used f...
The advancement of deep learning technology has enabled us to develop sy...
High-resolution image segmentation remains challenging and error-prone d...
Graph Neural Networks (GNNs) learn low dimensional representations of no...
Graph pooling is an essential ingredient of Graph Neural Networks (GNNs)...
Research in deep learning models to forecast traffic intensities has gai...
To capture spatial relationships and temporal dynamics in traffic data,
...
Wearable sensor based human activity recognition is a challenging proble...
Rapid globalization and the interdependence of humanity that engender
tr...
Traffic congestion research is on the rise, thanks to urbanization, econ...
Human Activity Recognition from body-worn sensor data poses an inherent
...