In recent years, many digital devices have been equipped with a video camera that allows
videos to be recorded in good quality, free of charge and without restrictions. Concurrently …

Image inpainting has made significant advances in recent years. However, it is still
challenging to recover corrupted images with both vivid textures and reasonable structures …

Image inpainting has made remarkable progress with recent advances in deep learning.
Popular networks mainly follow an encoder-decoder architecture (sometimes with skip …

Single image super-resolution (SISR) has played an important role in the field of image
processing. Recent generative adversarial networks (GANs) can achieve excellent results …

Lane marking recognition is one of the most crucial features for automotive vehicles as it is
one of the most fundamental requirements of all the autonomy features of Advanced Driver …

Many recent inpainting works have achieved impressive results by leveraging Deep Neural
Networks (DNNs) to model various prior information for image restoration. Unfortunately, the …

The novelty of the COVID-19 Disease and the speed of spread, created colossal chaotic,
impulse all the worldwide researchers to exploit all resources and capabilities to understand …

Face de-identification (De-ID) removes face identity information in face images to avoid
personal privacy leakage. Existing face De-ID breaks the raw identity by cutting out the face …

We present a 3D deep learning framework that can generate a complete cranial model
using a defective one. The Boolean subtraction between these two models generates the …

The implementation is proposed of image inpainting techniques for the reconstruction of
gaps in experimental X-ray scattering data. The proposed methods use deep learning …