Search Results for author: Simone Bianco

Found 19 papers, 1 papers with code

Shallow camera pipeline for night photography rendering

no code implementations19 Apr 2022 Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini

We introduce a camera pipeline for rendering visually pleasing photographs in low light conditions, as part of the NTIRE2022 Night Photography Rendering challenge.

Image Denoising

Adaptive Epidemic Forecasting and Community Risk Evaluation of COVID-19

no code implementations3 Jun 2021 Vishrawas Gopalakrishnan, Sayali Navalekar, Pan Ding, Ryan Hooley, Jacob Miller, Raman Srinivasan, Ajay Deshpande, Xuan Liu, Simone Bianco, James H. Kaufman

Pandemic control measures like lock-down, restrictions on restaurants and gatherings, social-distancing have shown to be effective in curtailing the spread of COVID-19.

Decision Making

Illumination Estimation Challenge: experience of past two years

no code implementations31 Dec 2020 Egor Ershov, Alex Savchik, Ilya Semenkov, Nikola Banić, Karlo Koscević, Marko Subašić, Alexander Belokopytov, Zhihao LI, Arseniy Terekhin, Daria Senshina, Artem Nikonorov, Yanlin Qian, Marco Buzzelli, Riccardo Riva, Simone Bianco, Raimondo Schettini, Sven Lončarić, Dmitry Nikolaev

The main advantage of testing a method on a challenge over testing in on some of the known datasets is the fact that the ground-truth illuminations for the challenge test images are unknown up until the results have been submitted, which prevents any potential hyperparameter tuning that may be biased.

Color Constancy

Disentangling Image Distortions in Deep Feature Space

no code implementations26 Feb 2020 Simone Bianco, Luigi Celona, Paolo Napoletano

In this work we take a further step in the direction of a broader understanding of such property by analyzing the capability of deep visual representations to intrinsically characterize different types of image distortions.

Image Quality Assessment

Quasi-Unsupervised Color Constancy

no code implementations CVPR 2019 Simone Bianco, Claudio Cusano

After training, unbalanced images can be processed thanks to the preliminary conversion to grayscale of the input to the neural network.

Color Constancy

Deep Residual Autoencoder for quality independent JPEG restoration

no code implementations14 Mar 2019 Simone Zini, Simone Bianco, Raimondo Schettini

This results is remarkable since the approaches in the state of the art use a different set of weights for each compression quality, while the proposed model uses the same weights for all of them, making it applicable to images in the wild where the QF used for compression is unkwnown.


Multitask Painting Categorization by Deep Multibranch Neural Network

no code implementations19 Dec 2018 Simone Bianco, Davide Mazzini, Paolo Napoletano, Raimondo Schettini

In this work we propose a new deep multibranch neural network to solve the tasks of artist, style, and genre categorization in a multitask formulation.

Benchmark Analysis of Representative Deep Neural Network Architectures

2 code implementations1 Oct 2018 Simone Bianco, Remi Cadene, Luigi Celona, Paolo Napoletano

This work presents an in-depth analysis of the majority of the deep neural networks (DNNs) proposed in the state of the art for image recognition.

Rehabilitating the ColorChecker Dataset for Illuminant Estimation

no code implementations30 May 2018 Ghalia Hemrit, Graham D. Finlayson, Arjan Gijsenij, Peter Gehler, Simone Bianco, Brian Funt, Mark Drew, Lilong Shi

In a previous work, it was shown that there is a curious problem with the benchmark ColorChecker dataset for illuminant estimation.

Aesthetics Assessment of Images Containing Faces

no code implementations22 May 2018 Simone Bianco, Luigi Celona, Raimondo Schettini

Recent research has widely explored the problem of aesthetics assessment of images with generic content.

Automated Pruning for Deep Neural Network Compression

no code implementations5 Dec 2017 Franco Manessi, Alessandro Rozza, Simone Bianco, Paolo Napoletano, Raimondo Schettini

In this work we present a method to improve the pruning step of the current state-of-the-art methodology to compress neural networks.

Neural Network Compression Transfer Learning

Large age-gap face verification by feature injection in deep networks

no code implementations19 Feb 2016 Simone Bianco

This paper introduces a new method for face verification across large age gaps and also a dataset containing variations of age in the wild, the Large Age-Gap (LAG) dataset, with images ranging from child/young to adult/old.

Age-Invariant Face Recognition Face Verification

On the Use of Deep Learning for Blind Image Quality Assessment

no code implementations17 Feb 2016 Simone Bianco, Luigi Celona, Paolo Napoletano, Raimondo Schettini

We report on different design choices, ranging from the use of features extracted from pre-trained Convolutional Neural Networks (CNNs) as a generic image description, to the use of features extracted from a CNN fine-tuned for the image quality task.

Blind Image Quality Assessment

Single and Multiple Illuminant Estimation Using Convolutional Neural Networks

no code implementations5 Aug 2015 Simone Bianco, Claudio Cusano, Raimondo Schettini

In this paper we present a method for the estimation of the color of the illuminant in RAW images.

User Preferences Modeling and Learning for Pleasing Photo Collage Generation

no code implementations1 Jun 2015 Simone Bianco, Gianluigi Ciocca

The relative importance of these criteria are automatically learned by exploiting the user preferences, and new collages are generated.

CURL: Co-trained Unsupervised Representation Learning for Image Classification

no code implementations29 May 2015 Simone Bianco, Gianluigi Ciocca, Claudio Cusano

The strategy, that is called CURL from Co-trained Unsupervised Representation Learning, iteratively builds two classifiers on two different views of the data.

Classification General Classification +3

How Far Can You Get By Combining Change Detection Algorithms?

no code implementations12 May 2015 Simone Bianco, Gianluigi Ciocca, Raimondo Schettini

Given the existence of many change detection algorithms, each with its own peculiarities and strengths, we propose a combination strategy, that we termed IUTIS (In Unity There Is Strength), based on a genetic Programming framework.

Change Detection Unity

Color Constancy Using CNNs

no code implementations17 Apr 2015 Simone Bianco, Claudio Cusano, Raimondo Schettini

In this work we describe a Convolutional Neural Network (CNN) to accurately predict the scene illumination.

Color Constancy

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