Search Results for author: Simone Milani

Found 13 papers, 4 papers with code

Point Cloud Geometry Scalable Coding with a Quality-Conditioned Latents Probability Estimator

no code implementations11 Apr 2024 Daniele Mari, André F. R. Guarda, Nuno M. M. Rodrigues, Simone Milani, Fernando Pereira

The widespread usage of point clouds (PC) for immersive visual applications has resulted in the use of very heterogeneous receiving conditions and devices, notably in terms of network, hardware, and display capabilities.

Enhancing the Rate-Distortion-Perception Flexibility of Learned Image Codecs with Conditional Diffusion Decoders

no code implementations5 Mar 2024 Daniele Mari, Simone Milani

Learned image compression codecs have recently achieved impressive compression performances surpassing the most efficient image coding architectures.

Image Compression

Continual Road-Scene Semantic Segmentation via Feature-Aligned Symmetric Multi-Modal Network

no code implementations9 Aug 2023 Francesco Barbato, Elena Camuffo, Simone Milani, Pietro Zanuttigh

In this work, we re-frame the task of multimodal semantic segmentation by enforcing a tightly-coupled feature representation and a symmetric information-sharing scheme, which allows our approach to work even when one of the input modalities is missing.

Autonomous Driving Continual Learning +1

All-for-One and One-For-All: Deep learning-based feature fusion for Synthetic Speech Detection

no code implementations28 Jul 2023 Daniele Mari, Davide Salvi, Paolo Bestagini, Simone Milani

Recent advances in deep learning and computer vision have made the synthesis and counterfeiting of multimedia content more accessible than ever, leading to possible threats and dangers from malicious users.

Face Swapping Synthetic Speech Detection

Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data

1 code implementation8 Apr 2023 Elena Camuffo, Simone Milani

To the best of our knowledge, this is the first example of class-incremental continual learning for LiDAR point cloud semantic segmentation.

Class Incremental Learning Image Classification +5

The Sound of Silence: Efficiency of First Digit Features in Synthetic Audio Detection

1 code implementation6 Oct 2022 Daniele Mari, Federica Latora, Simone Milani

The recent integration of generative neural strategies and audio processing techniques have fostered the widespread of synthetic speech synthesis or transformation algorithms.

Speech Synthesis Synthetic Speech Detection

Real or Virtual: A Video Conferencing Background Manipulation-Detection System

no code implementations25 Apr 2022 Ehsan Nowroozi, Yassine Mekdad, Mauro Conti, Simone Milani, Selcuk Uluagac, Berrin Yanikoglu

Additionally, it enables users to employ a virtual background to conceal their own environment due to privacy concerns or to reduce distractions, particularly in professional settings.

Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand

no code implementations15 Oct 2021 Matteo Cardaioli, Stefano Cecconello, Mauro Conti, Simone Milani, Stjepan Picek, Eugen Saraci

We consider the setting where the attacker can access an ATM PIN pad of the same brand/model as the target one.

Blocking

Do Not Deceive Your Employer with a Virtual Background: A Video Conferencing Manipulation-Detection System

no code implementations29 Jun 2021 Mauro Conti, Simone Milani, Ehsan Nowroozi, Gabriele Orazi

On the other hand, users maybe want to fool people in the meeting by considering the virtual background to conceal where they are.

FOCAL: A Forgery Localization Framework based on Video Coding Self-Consistency

no code implementations24 Aug 2020 Sebastiano Verde, Paolo Bestagini, Simone Milani, Giancarlo Calvagno, Stefano Tubaro

Forgery operations on video contents are nowadays within the reach of anyone, thanks to the availability of powerful and user-friendly editing software.

On the use of Benford's law to detect GAN-generated images

1 code implementation16 Apr 2020 Nicolò Bonettini, Paolo Bestagini, Simone Milani, Stefano Tubaro

The advent of Generative Adversarial Network (GAN) architectures has given anyone the ability of generating incredibly realistic synthetic imagery.

GAN image forensics Generative Adversarial Network

Seq2Seq RNN based Gait Anomaly Detection from Smartphone Acquired Multimodal Motion Data

1 code implementation19 Nov 2019 Riccardo Bonetto, Mattia Soldan, Alberto Lanaro, Simone Milani, Michele Rossi

Smartphones and wearable devices are fast growing technologies that, in conjunction with advances in wireless sensor hardware, are enabling ubiquitous sensing applications.

Anomaly Detection

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