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Giuseppe Amato

3 papers here

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

author position
  • middle author1
  • last author2

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

fields
  • cs.CV3
ORCID 0000-0003-0171-4315
same name
  • Giuseppe Amato — 4 papers, h 3
  • Giuseppe Amato — 4 papers, h 0
  • Giuseppe Amato — 3 papers, h 27

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedCross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection

45 citations · 45 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2022

ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval

Nicola Messina, Matteo Stefanini, Marcella Cornia +4

Image-text matching is gaining a leading role among tasks involving the joint understanding of vision and language. In literature, this task is often used as a pre-training objecti…

cs.CV2022

FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level

Gabriele Lagani, Claudio Gennaro, Hannes Fassold +1

Learning algorithms for Deep Neural Networks are typically based on supervised end-to-end Stochastic Gradient Descent (SGD) training with error backpropagation (backprop). Backprop…

cs.CV2022★ 45 cited

Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection

Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi +2

Deepfake Generation Techniques are evolving at a rapid pace, making it possible to create realistic manipulated images and videos and endangering the serenity of modern society. Th…

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