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pro vyhledávání: '"Del Bue, A."'
Attackers can deliberately perturb classifiers' input with subtle noise, altering final predictions. Among proposed countermeasures, adversarial purification employs generative networks to preprocess input images, filtering out adversarial noise. In
Externí odkaz:
http://arxiv.org/abs/2412.03453
World-wide detailed 2D maps require enormous collective efforts. OpenStreetMap is the result of 11 million registered users manually annotating the GPS location of over 1.75 billion entries, including distinctive landmarks and common urban objects. A
Externí odkaz:
http://arxiv.org/abs/2411.12620
We present billboard Splatting (BBSplat) - a novel approach for 3D scene representation based on textured geometric primitives. BBSplat represents the scene as a set of optimizable textured planar primitives with learnable RGB textures and alpha-maps
Externí odkaz:
http://arxiv.org/abs/2411.08508
Autor:
Tsesmelis, Theodore, Palmieri, Luca, Khoroshiltseva, Marina, Islam, Adeela, Elkin, Gur, Shahar, Ofir Itzhak, Scarpellini, Gianluca, Fiorini, Stefano, Ohayon, Yaniv, Alali, Nadav, Aslan, Sinem, Morerio, Pietro, Vascon, Sebastiano, Gravina, Elena, Napolitano, Maria Cristina, Scarpati, Giuseppe, Zuchtriegel, Gabriel, Spühler, Alexandra, Fuchs, Michel E., James, Stuart, Ben-Shahar, Ohad, Pelillo, Marcello, Del Bue, Alessio
This paper proposes the RePAIR dataset that represents a challenging benchmark to test modern computational and data driven methods for puzzle-solving and reassembly tasks. Our dataset has unique properties that are uncommon to current benchmarks for
Externí odkaz:
http://arxiv.org/abs/2410.24010
Autor:
Fiorini, Stefano, Bovolenta, Giulia M., Coniglio, Stefano, Ciavotta, Michele, Morerio, Pietro, Parrinello, Michele, Del Bue, Alessio
Graphs and hypergraphs provide powerful abstractions for modeling interactions among a set of entities of interest and have been attracting a growing interest in the literature thanks to many successful applications in several fields. In particular,
Externí odkaz:
http://arxiv.org/abs/2410.06969
Autor:
Aldo Gerbino
Publikováno v:
Quaderns d'Italià, Vol 27 (2022)
Se l’esordio di Leonardo Sciascia si affida al lavoro poetico con La Sicilia, il suo cuore e con le Favole della dittatura non è certo un fatto occasionale. Al contrario, trova nella parola quella capacità di intercettare la realtà del profondo
Externí odkaz:
https://doaj.org/article/50d73467e3e04b14ae6e6552bfa74c96
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The creation of digital replicas of physical objects has valuable applications for the preservation and dissemination of tangible cultural heritage. However, existing methods are often slow, expensive, and require expert knowledge. We propose a pipel
Externí odkaz:
http://arxiv.org/abs/2409.19039
Publikováno v:
ECCV 2024
Unsupervised 3D keypoints estimation from Point Cloud Data (PCD) is a complex task, even more challenging when an object shape is deforming. As keypoints should be semantically and geometrically consistent across all the 3D frames - each keypoint sho
Externí odkaz:
http://arxiv.org/abs/2408.02291
We propose 6DGS to estimate the camera pose of a target RGB image given a 3D Gaussian Splatting (3DGS) model representing the scene. 6DGS avoids the iterative process typical of analysis-by-synthesis methods (e.g. iNeRF) that also require an initiali
Externí odkaz:
http://arxiv.org/abs/2407.15484