Large-scale fully-unsupervised re-identification
Fully-unsupervised Person and Vehicle Re-Identification have received increasing attention due to their broad applicability in areas such as surveillance, forensics, event …
gabriel-bertocco
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The Age of Synthetic Realities: Challenges and Opportunities
Synthetic realities are digital creations or augmentations that are contextually generated through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of …
joao-p.-cardenuto
Leveraging Ensembles and Self-Supervised Learning for Fully-Unsupervised Person Re-Identification and Text Authorship Attribution
Learning from fully-unlabeled data is challenging in Multimedia Forensics problems, such as Person Re-Identification and Text Authorship Attribution. Recent self-supervised …
gabriel-bertocco
Content-Aware Detection of Temporal Metadata Manipulation
Most pictures shared online are accompanied by temporal metadata (i.e., the day and time they were taken), which makes it possible to associate an image content with real-world …
rafael-padilha
Cross-dataset emotion recognition from facial expressions through convolutional neural networks
The face is the window to the soul. This is what the 19th-century French doctor Duchenne de Boulogne thought. Using electric shocks to stimulate muscular contractions and induce …
william-dias
Unsupervised and Self-Adaptative Techniques for Cross-Domain Person Re-Identification
Person Re-Identification (ReID) across non-overlapping cameras is a challenging task, and most works in prior art rely on supervised feature learning from a labeled dataset to …
gabriel-bertocco
Temporally Sorting Images from Real-World Events
As smartphones become ubiquitous in modern life, every major event — from musical concerts to terrorist attempts — is massively captured by multiple devices and instantly uploaded …
rafael-padilha
A Inteligência Artificial e os desafios da Ciência Forense Digital no século XXI
A Ciência Forense Digital surgiu da necessidade de tratar problemas forenses na era digital. Seu mais recente desafio está relacionado ao surgimento das mídias sociais, …
rafael-padilha
Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function
With the widespread use of biometric authentication comes the exploitation of presentation attacks, possibly undermining the effectiveness of these technologies in real-world …
waldir-r.-almeida
Two-tiered face verification with low-memory footprint for mobile devices
Mobile devices had their popularity and affordability greatly increased in recent years. As a consequence of their ubiquity, these devices now carry all sorts of personal data that …
rafael-padilha
Forensic Event Analysis: From Seemingly Unrelated Data to Understanding
We discuss the problem of restructuring visual data from different heterogeneous sources to analyze an event of interest. We present X-coherence: a pipeline aiming at organizing …
rafael-padilha
Counteracting the contemporaneous proliferation of digital forgeries and fake news
Fake news has been certainly the expression of the moment: from political round table discussions to newspapers to social and mainstream media. It is everywhere. With such an …
alexandre-m.-ferreira
TWM: a framework for creating highly compressible videos targeted to computer vision tasks
We present a simple yet effective framework – Transmitting What Matters (TWM) – to generate highly compressible videos containing only relevant information targeted to specific …
PSQP: Puzzle Solving by Quadratic Programming
In this article we present the first effective global method for the reconstruction of image puzzles comprising rectangle pieces - Puzzle Solving by Quadratic Programming (PSQP). …
Efficient height measurements in single images based on the detection of vanishing points
Surveillance cameras have become a customary security equipment in buildings and streets worldwide. It is up to the field of Computational Forensics to provide automated methods …
Shape feature extraction and description based on tensor scale
Tensor scale is a morphometric parameter that unifies the representation of local structure thickness, orientation, and anisotropy, which can be used in several computer vision and …
Fluorosis in rats exposed to oscillating chronic fluoride doses
Considering that blood fluoride concentration varies according to fluoride exposure and that dental fluorosis is related to the amount of enamel formed under a given fluoride dose, …
danilo-b.-catani