no code implementations • 8 Apr 2024 • Antonio Giganti, Sara Mandelli, Paolo Bestagini, Umberto Giuriato, Alessandro D'Ausilio, Marco Marcon, Stefano Tubaro
Remarkably, we find that conditioning on future weather information has a greater impact than considering past traffic conditions.
1 code implementation • 22 Jun 2023 • Antonio Giganti, Sara Mandelli, Paolo Bestagini, Marco Marcon, Stefano Tubaro
In our work, we aim at super-resolving low resolution emission maps derived from satellite observations by leveraging the information of emission maps obtained through numerical simulations.
no code implementations • 23 May 2023 • Antonio Giganti, Sara Mandelli, Paolo Bestagini, Marco Marcon, Stefano Tubaro
In this work, we propose a strategy to super-resolve coarse BVOC emission maps by simultaneously exploiting the contributions of different compounds.
no code implementations • 15 Feb 2023 • Antonio Giganti, Sara Mandelli, Paolo Bestagini, Marco Marcon, Stefano Tubaro
Biogenic Volatile Organic Compounds (BVOCs) play a critical role in biosphere-atmosphere interactions, being a key factor in the physical and chemical properties of the atmosphere and climate.
1 code implementation • 4 Mar 2022 • Sara Mandelli, Nicolò Bonettini, Paolo Bestagini, Stefano Tubaro
For this reason, detecting if an image is an actual photograph or has been synthetically generated is becoming an urgent necessity.
no code implementations • 7 Jan 2022 • Edoardo Daniele Cannas, Nicolò Bonettini, Sara Mandelli, Paolo Bestagini, Stefano Tubaro
Synthetic Aperture Radar (SAR) images are a valuable asset for a wide variety of tasks.
no code implementations • 16 Dec 2021 • Sara Mandelli, Davide Cozzolino, Edoardo D. Cannas, Joao P. Cardenuto, Daniel Moreira, Paolo Bestagini, Walter J. Scheirer, Anderson Rocha, Luisa Verdoliva, Stefano Tubaro, Edward J. Delp
As a matter of fact, the generation of synthetic content is not restricted to multimedia data like videos, photographs or audio sequences, but covers a significantly vast area that can include biological images as well, such as western blot and microscopic images.
1 code implementation • 7 Dec 2020 • Francesco Picetti, Sara Mandelli, Paolo Bestagini, Vincenzo Lipari, Stefano Tubaro
A typical trace exploited for source device identification is the Photo Response Non-Uniformity (PRNU), a noise pattern left by the device on the acquired images.
no code implementations • 25 Sep 2020 • Sara Mandelli, Nicolò Bonettini, Paolo Bestagini, Stefano Tubaro
In this work, we focus on the effect that JPEG has on CNN training considering different computer vision and forensic image classification problems.
1 code implementation • 20 May 2020 • Sara Mandelli, Fabrizio Argenti, Paolo Bestagini, Massimo Iuliani, Alessandro Piva, Stefano Tubaro
To decide whether a digital video has been captured by a given device, multimedia forensic tools usually exploit characteristic noise traces left by the camera sensor on the acquired frames.
2 code implementations • 16 Apr 2020 • Nicolò Bonettini, Edoardo Daniele Cannas, Sara Mandelli, Luca Bondi, Paolo Bestagini, Stefano Tubaro
In this paper, we tackle the problem of face manipulation detection in video sequences targeting modern facial manipulation techniques.
Ranked #1 on DeepFake Detection on FaceForensics++ (using extra training data)
1 code implementation • 31 Jan 2020 • Sara Mandelli, Davide Cozzolino, Paolo Bestagini, Luisa Verdoliva, Stefano Tubaro
Source identification is an important topic in image forensics, since it allows to trace back the origin of an image.
no code implementations • 23 Jan 2019 • Sara Mandelli, Vincenzo Lipari, Paolo Bestagini, Stefano Tubaro
Seismic data processing algorithms greatly benefit from regularly sampled and reliable data.
1 code implementation • 5 Nov 2018 • Sara Mandelli, Paolo Bestagini, Luisa Verdoliva, Stefano Tubaro
Specifically, we propose: (i) a strategy to extract the characteristic fingerprint of a device, starting from either a set of images or stabilized video sequences; (ii) a strategy to match a stabilized video sequence with a given fingerprint in order to solve the device attribution problem.
Multimedia