Graph matching remains a core challenge in computer vision, where establishing correspondences between features is crucial for tasks such as object recognition, 3D reconstruction and scene ...

As studied earlier, computer networks are one of the most popular and well-researched automation topics over the last many years. But along with advantages and uses, computer vision has its challenges ...

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...

In recent years, the field of computer vision has witnessed a remarkable transformation with the introduction of Convolutional Neural Networks (CNNs). These deep learning models have revolutionised ...

Researchers at the University of Geneva used Graph Neural Networks to model the complex patterns of multi-drug resistant Enterobacteriaceae transmission, aiming to advance how hospitals predict and ...