Electrolysis is crucial for eco-friendly hydrogen production, but gas bu...
For many AI systems, concept drift detection is crucial to ensure the sy...
Learning universal representations across different applications domain ...
The performance of deep neural networks for image recognition tasks such...
We present a content-adaptive generation and parallel compositing algori...
We present an efficient raycasting-based rendering algorithm for
view-de...
Normalizing flows are prominent deep generative models that provide trac...
The medical image fusion combines two or more modalities into a single v...
We address a core problem of computer vision: Detection and description ...
We propose a method for depth estimation from light field data, based on...
As computer simulations progress to increasingly complex, non-linear, an...
Multimodal medical image fusion helps in combining contrasting features ...
Turbines are essential components of jet planes and power plants. Theref...
Life science today involves computational analysis of a large amount and...
Life science today involves computational analysis of a large amount and...
This paper addresses the task of estimating the 6D pose of a known 3D ob...
RANSAC is an important algorithm in robust optimization and a central
bu...