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Pablo Musé

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.CR1
ORCID 0000-0002-9199-6469

identity via Semantic Scholar / OpenAlex

most citedDeep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its Unintended Electromagnetic Emanations

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024

PhotoHolmes: a Python library for forgery detection in digital images

Julián O'Flaherty, Rodrigo Paganini, Juan Pablo Sotelo +4

In this paper, we introduce PhotoHolmes, an open-source Python library designed to easily run and benchmark forgery detection methods on digital images. The library includes implem…

cs.CR2024★ 1 cited

Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its Unintended Electromagnetic Emanations

Santiago Fernández, Emilio Martínez, Gabriel Varela +2

In this work, we address the problem of eavesdropping on digital video displays by analyzing the electromagnetic waves that unintentionally emanate from the cables and connectors,…

cs.CV2023

Blind Motion Deblurring with Pixel-Wise Kernel Estimation via Kernel Prediction Networks

Guillermo Carbajal, Patricia Vitoria, José Lezama +1

In recent years, the removal of motion blur in photographs has seen impressive progress in the hands of deep learning-based methods, trained to map directly from blurry to sharp im…

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