853 citations · 1.6k across the 20 of their papers we have counts for
16 papers · 1 filter
Face anonymization preserving facial expressions and photometric realism
Luigi Celona, Simone Bianco, Raimondo Schettini
The widespread sharing of face images on social media platforms and in large-scale datasets raises pressing privacy concerns, as biometric identifiers can be exploited without cons…
Shallow camera pipeline for night photography rendering
Simone Zini, Claudio Rota, Marco Buzzelli +2
We introduce a camera pipeline for rendering visually pleasing photographs in low light conditions, as part of the NTIRE2022 Night Photography Rendering challenge. Given the nature…
Illumination Estimation Challenge: experience of past two years
Egor Ershov, Alex Savchik, Ilya Semenkov +15
Illumination estimation is the essential step of computational color constancy, one of the core parts of various image processing pipelines of modern digital cameras. Having an acc…
Disentangling Image Distortions in Deep Feature Space
Simone Bianco, Luigi Celona, Paolo Napoletano
Previous literature suggests that perceptual similarity is an emergent property shared across deep visual representations. Experiments conducted on a dataset of human-judged image…
Deep Residual Autoencoder for quality independent JPEG restoration
Simone Zini, Simone Bianco, Raimondo Schettini
In this paper we propose a deep residual autoencoder exploiting Residual-in-Residual Dense Blocks (RRDB) to remove artifacts in JPEG compressed images that is independent from the…
Multitask Painting Categorization by Deep Multibranch Neural Network
Simone Bianco, Davide Mazzini, Paolo Napoletano +1
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. In order to gather clues fro…
Benchmark Analysis of Representative Deep Neural Network Architectures
Simone Bianco, Remi Cadene, Luigi Celona +1
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. For each DNN multiple performance…
Aesthetics Assessment of Images Containing Faces
Simone Bianco, Luigi Celona, Raimondo Schettini
Recent research has widely explored the problem of aesthetics assessment of images with generic content. However, few approaches have been specifically designed to predict the aest…
Rehabilitating the ColorChecker Dataset for Illuminant Estimation
Ghalia Hemrit, Graham D. Finlayson, Arjan Gijsenij +5
In a previous work, it was shown that there is a curious problem with the benchmark ColorChecker dataset for illuminant estimation. To wit, this dataset has at least 3 different se…
Automated Pruning for Deep Neural Network Compression
Franco Manessi, Alessandro Rozza, Simone Bianco +2
In this work we present a method to improve the pruning step of the current state-of-the-art methodology to compress neural networks. The novelty of the proposed pruning technique…
Deep Learning for Logo Recognition
Simone Bianco, Marco Buzzelli, Davide Mazzini +1
In this paper we propose a method for logo recognition using deep learning. Our recognition pipeline is composed of a logo region proposal followed by a Convolutional Neural Networ…
Large age-gap face verification by feature injection in deep networks
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 im…
On the Use of Deep Learning for Blind Image Quality Assessment
Simone Bianco, Luigi Celona, Paolo Napoletano +1
In this work we investigate the use of deep learning for distortion-generic blind image quality assessment. We report on different design choices, ranging from the use of features…
Single and Multiple Illuminant Estimation Using Convolutional Neural Networks
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. The method includes a Convolutional Neural Network that has been specially design…
How Far Can You Get By Combining Change Detection Algorithms?
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 S…
Color Constancy Using CNNs
Simone Bianco, Claudio Cusano, Raimondo Schettini
In this work we describe a Convolutional Neural Network (CNN) to accurately predict the scene illumination. Taking image patches as input, the CNN works in the spatial domain witho…