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20162023
most citedA Review of Deep Learning-based Approaches for Deepfake Content Detection

74 citations · 291 across the 20 of their papers we have counts for

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7 papers · 1 filter

cs.CV2022★ 4 cited

DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification

Daniel F. S. Santos, Rafael G. Pires, Leandro A. Passos +1

Research on remote sensing image classification significantly impacts essential human routine tasks such as urban planning and agriculture. Nowadays, the rapid advance in technolog…

cs.CV2022★ 2 cited

From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks

Mateus Roder, Jurandy Almeida, Gustavo H. de Rosa +3

In the last decade, exponential data growth supplied machine learning-based algorithms' capacity and enabled their usage in daily-life activities. Additionally, such an improvement…

cs.CV2022★ 6 cited

ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization

Talita A. Pereira, Regina C. Popim, Leandro A. Passos +3

Complex wounds usually face partial or total loss of skin thickness, healing by secondary intention. They can be acute or chronic, figuring infections, ischemia and tissue necrosis…

cs.CV2022★ 25 cited

A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic

Renato W. R. de Souza, João V. C. de Oliveira, Leandro A. Passos +3

In the past decades, fuzzy logic has played an essential role in many research areas. Alongside, graph-based pattern recognition has shown to be of great importance due to its flex…

cs.CV2022

An End-to-End Approach for Seam Carving Detection using Deep Neural Networks

Thierry P. Moreira, Marcos Cleison S. Santana, Leandro A. Passos João Paulo Papa +1

Seam carving is a computational method capable of resizing images for both reduction and expansion based on its content, instead of the image geometry. Although the technique is mo…

cs.CV2022★ 74 cited

A Review of Deep Learning-based Approaches for Deepfake Content Detection

Leandro A. Passos, Danilo Jodas, Kelton A. P. da Costa +5

Recent advancements in deep learning generative models have raised concerns as they can create highly convincing counterfeit images and videos. This poses a threat to people's inte…

cs.CV2021★ 16 cited

Intestinal Parasites Classification Using Deep Belief Networks

Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro +3

Currently, approximately billion people are infected by intestinal parasites worldwide. Diseases caused by such infections constitute a public health problem in most tropical c…