Search Results for author: Simone Milani

Found 19 papers, 5 papers with code

TeLL Me what you cant see

no code implementations25 Mar 2025 Saverio Cavasin, Pietro Biasetton, Mattia Tamiazzo, Mauro Conti, Simone Milani

During criminal investigations, images of persons of interest directly influence the success of identification procedures.

Data Augmentation Person Re-Identification

SAGE: Semantic-Driven Adaptive Gaussian Splatting in Extended Reality

no code implementations20 Mar 2025 Chiara Schiavo, Elena Camuffo, Leonardo Badia, Simone Milani

3D Gaussian Splatting (3DGS) has significantly improved the efficiency and realism of three-dimensional scene visualization in several applications, ranging from robotics to eXtended Reality (XR).

3DGS Semantic Segmentation

Point Cloud Geometry Scalable Coding Using a Resolution and Quality-conditioned Latents Probability Estimator

no code implementations19 Feb 2025 Daniele Mari, André F. R. Guarda, Nuno M. M. Rodrigues, Simone Milani, Fernando Pereira

Experimental results obtained by integrating SRQH in the emerging JPEG Pleno learning-based PC coding standard show that SRQH allows decoding the PC at different qualities and resolutions with a single bitstream while incurring only in a limited RD penalty and increment in complexity w. r. t.

Effectiveness of learning-based image codecs on fingerprint storage

1 code implementation27 Sep 2024 Daniele Mari, Saverio Cavasin, Simone Milani, Mauro Conti

Experimental results show that at a fixed rate point, learned solutions considerably outperform previous fingerprint coding standards, like JPEG2000, both in terms of distortion and minutiae preservation.

Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics

no code implementations8 Jul 2024 Elena Camuffo, Umberto Michieli, Simone Milani, Jijoong Moon, Mete Ozay

In this paper, we introduce Per-corruption Adaptation of Normalization statistics (PAN) to enhance the model robustness of vision systems.

Data Augmentation Object Recognition +1

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.

Decoder 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

State-of-the-art multimodal semantic segmentation strategies combining LiDAR and color data are usually designed on top of asymmetric information-sharing schemes and assume that both modalities are always available.

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.

All Face Swapping +1

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 Class Incremental Learning +6

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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