7 citations · 11 across the 7 of their papers we have counts for
7 papers
Leveraging Land Cover Priors for Isoprene Emission Super-Resolution
Christopher Ummerle, Antonio Giganti, Sara Mandelli +2
Remote sensing plays a crucial role in monitoring Earth's ecosystems, yet satellite-derived data often suffer from limited spatial resolution, restricting their applicability in at…
POLIPHONE: A Dataset for Smartphone Model Identification from Audio Recordings
Davide Salvi, Daniele Ugo Leonzio, Antonio Giganti +4
When dealing with multimedia data, source attribution is a key challenge from a forensic perspective. This task aims to determine how a given content was captured, providing valuab…
Super-Resolution of BVOC Emission Maps Via Domain Adaptation
Antonio Giganti, Sara Mandelli, Paolo Bestagini +2
Enhancing the resolution of Biogenic Volatile Organic Compound (BVOC) emission maps is a critical task in remote sensing. Recently, some Super-Resolution (SR) methods based on Deep…
Multi-BVOC Super-Resolution Exploiting Compounds Inter-Connection
Antonio Giganti, Sara Mandelli, Paolo Bestagini +2
Biogenic Volatile Organic Compounds (BVOCs) emitted from the terrestrial ecosystem into the Earth's atmosphere are an important component of atmospheric chemistry. Due to the scarc…
Super-Resolution of BVOC Maps by Adapting Deep Learning Methods
Antonio Giganti, Sara Mandelli, Paolo Bestagini +2
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…
Speaker-Independent Microphone Identification in Noisy Conditions
Antonio Giganti, Luca Cuccovillo, Paolo Bestagini +2
This work proposes a method for source device identification from speech recordings that applies neural-network-based denoising, to mitigate the impact of counter-forensics attacks…
Spectral Denoising for Microphone Classification
L. Cuccovillo, A. Giganti, P. Bestagini +2
In this paper, we propose the use of denoising for microphone classification, to enable its usage for several key application domains that involve noisy conditions. We describe the…