Large language models have shown strong capabilities in code generation, but adapting them to specialized domains remains challenging in settings with limited computational …
Re-Identification (ReID) is vital for real-world applications such as AI-powered security, event understanding, and smart city development. It aims to retrieve all instances of a …
Re-Identification (ReID) enables real-world applications such as AI-powered surveillance, criminal identification, event understanding, and smart city development. However, it …
Long-range recognition is paramount in securitysensitive settings. It faces the hard task of retrieving images from a high-resolution gallery given a probe image affected by …
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 …
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 …
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 …
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 …
Over the years, several problems regarding the analysis of face images have been addressed, including face detection, recognition, identification, and verification. The advent of …
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 …
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 …
We present a simple yet effective framework - Transmitting What Matters (TWM) - to generate compressed videos containing only relevant objects targeted to specific computer vision …
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 …
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 …
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 …
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. …
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 …
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 …
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 …
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 …
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 …