This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...
In this work we propose a software platform for the collection,
visualiz...
In this paper we propose an adaptive deep neural architecture for the
pr...
This paper reviews the Challenge on Super-Resolution of Compressed Image...
The management of people with long-term or chronic illness is one of the...
Speech emotion recognition (SER) on a single language has achieved remar...
In this paper, we propose an unsupervised method for hyperspectral remot...
We introduce a camera pipeline for rendering visually pleasing photograp...
Illumination estimation is the essential step of computational color
con...
Previous literature suggests that perceptual similarity is an emergent
p...
We propose a network architecture to perform efficient scene understandi...
In this paper we propose a deep residual autoencoder exploiting
Residual...
In this work we propose a new deep multibranch neural network to solve t...
In this paper we present a deep learning method to estimate the illumina...
Recent research has widely explored the problem of aesthetics assessment...
In this work we present a method to improve the pruning step of the curr...
In this paper we propose a method for logo recognition using deep learni...
In this work we investigate the use of deep learning for distortion-gene...
In this paper we present a method for the estimation of the color of the...
In this paper we investigate how state-of-the-art change detection algor...
In this work we describe a Convolutional Neural Network (CNN) to accurat...
The annotation of image and video data of large datasets is a fundamenta...
We propose a strategy for land use classification which exploits Multipl...