AG-ReID 2023: Aerial-Ground Person Re-identification Challenge Results
Person re-identification (Re-ID) on aerial-ground platforms has emerged as an intriguing topic within computer vision, presenting a plethora of unique challenges. High-flying …
Homomorphic evaluation of large look-up tables for inference on human genome data in the cloud
iDash is an annual competition for creating new solutions to tackle the challenges of securing human genome processing in untrusted environments, such as the public cloud. In this …
Explainable Artificial Intelligence for Authorship Attribution on Social Media
One of the major modern threats to society is the propagation of misinformation --- fake news, science denialism, hate speech --- fueled by social media's widespread adoption. On …
Improving the chronological sorting of images through occlusion: A study on the Notre-Dame cathedral fire
We live in a connected society in which no major event -- from music concerts to terrorist attempts -- happens without being recorded by a smartphone and shared instantly to the …
Deep face verification for spherical images
Over the years, several problems regarding the analysis of face images have been addressed, including face detection, recognition, identification, and verification. The advent of …
Two-tiered facial verification 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 …
A Competition on Generalized Software-based Face Presentation Attack Detection in Mobile Scenarios
In recent years, software-based face presentation attack detection (PAD) methods have seen a great progress. However, most existing schemes are not able to generalize well in more …
Transmitting What Matters: Task-Oriented Video Composition and Compression
We present a simple yet effective framework - Transmitting What Matters (TWM) - to generate compressed videos containing only relevant objects targeted to specific computer vision …
Computer vision methods applicable to forensic science
Crimes in our society, increasing in volume and sophistication, have determined the need for knowledge and use of scientific methods to their prevention and investigation. This …
Vanishing point detection by segment clustering on the projective space
The analysis of vanishing points on digital images provides strong cues for inferring the 3D structure of the depicted scene and can be exploited in a variety of computer vision …
Solving image puzzles with a simple quadratic programming formulation
We present a new formulation to automatically solve jigsaw puzzles considering only the information contained on the image. Our formulation maps the problem of solving a jigsaw …
Accurate 3D footwear impression recovery from photographs
The recovery of footwear impression in crime scenes plays an important role in investigations to corroborate or refute information, or to narrow down the number of suspects. …
Detecting vanishing points by segment clustering on the projective plane for single-view photogrammetry
In this paper, we describe how an effective vanishing point detector can be applied to photogrammetry when only a single view of an architectural environment is available. Our …
Shape descriptors 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 …
Recuperação de imagens: desafios e novos rumos
Huge image collections have been created, managed and stored into image databases. Given the large size of these collections it is essential to pro- vide efficient and effective …
A new shape descriptor based on tensor scale
Tensor scale is a morphometric parameter that unifies the repre-sentation of local structure thickness, orientation, and anisotropy, which can be used in several computer vision …
Detecting contour saliences using 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 image processing …