activity
20162026
most citedBenchmark Analysis of Representative Deep Neural Network Architectures

853 citations · 1.3k across the 12 of their papers we have counts for

collaborators

13 papers

cs.CV2026

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…

q-bio.NC2025

The ISLab Solution to the Algonauts Challenge 2025: A Multimodal Deep Learning Approach to Brain Response Prediction

Andrea Corsico, Giorgia Rigamonti, Simone Zini +2

In this work, we present a network-specific approach for predicting brain responses to complex multimodal movies, leveraging the Yeo 7-network parcellation of the Schaefer atlas. R…

physics.acc-ph2024

MuCol Milestone Report No. 5: Preliminary Parameters

Carlotta Accettura, Simon Adrian, Rohit Agarwal +391

This document is comprised of a collection of updated preliminary parameters for the key parts of the muon collider. The updated preliminary parameters follow on from the October 2…

cs.CV2024★ 1 cited

Cross-Camera Distracted Driver Classification through Feature Disentanglement and Contrastive Learning

Luigi Celona, Simone Bianco, Paolo Napoletano

The classification of distracted drivers is pivotal for ensuring safe driving. Previous studies demonstrated the effectiveness of neural networks in automatically predicting driver…

cs.CV2023★ 2 cited

NTIRE 2023 Quality Assessment of Video Enhancement Challenge

Xiaohong Liu, Xiongkuo Min, Wei Sun +69

This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement W…

cs.CV2023★ 5 cited

Improving Image Captioning Descriptiveness by Ranking and LLM-based Fusion

Luigi Celona, Simone Bianco, Marco Donzella +1

State-of-The-Art (SoTA) image captioning models are often trained on the MicroSoft Common Objects in Context (MS-COCO) dataset, which contains human-annotated captions with an aver…

cs.SD2022★ 34 cited

Semi-supervised cross-lingual speech emotion recognition

Mirko Agarla, Simone Bianco, Luigi Celona +5

Performance in Speech Emotion Recognition (SER) on a single language has increased greatly in the last few years thanks to the use of deep learning techniques. However, cross-lingu…

cs.CV2022★ 7 cited

Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment

Daniel Vera Nieto, Luigi Celona, Clara Fernandez-Labrador

Computational inference of aesthetics is an ill-defined task due to its subjective nature. Many datasets have been proposed to tackle the problem by providing pairs of images and a…

cs.CV2021★ 63 cited

Composition and Style Attributes Guided Image Aesthetic Assessment

Luigi Celona, Marco Leonardi, Paolo Napoletano +1

The aesthetic quality of an image is defined as the measure or appreciation of the beauty of an image. Aesthetics is inherently a subjective property but there are certain factors…

cs.CV2020★ 25 cited

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…

cs.CV2018★ 853 cited

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…

cs.CV2018★ 10 cited

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…

cs.CV2016★ 279 cited

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…