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of 5 582
pro vyhledávání: '"Falchi, A"'
Autor:
Ciampi, Luca, Messina, Nicola, Pierucci, Matteo, Amato, Giuseppe, Avvenuti, Marco, Falchi, Fabrizio
Class-agnostic counting (CAC) is a recent task in computer vision that aims to estimate the number of instances of arbitrary object classes never seen during model training. With the recent advancement of robust vision-and-language foundation models,
Externí odkaz:
http://arxiv.org/abs/2409.15953
Pose-estimation methods enable extracting human motion from common videos in the structured form of 3D skeleton sequences. Despite great application opportunities, effective content-based access to such spatio-temporal motion data is a challenging pr
Externí odkaz:
http://arxiv.org/abs/2407.02104
Autor:
Coccomini, Davide Alessandro, Caldelli, Roberto, Amato, Giuseppe, Falchi, Fabrizio, Gennaro, Claudio
Deepfake technology is rapidly advancing, posing significant challenges to the detection of manipulated media content. Parallel to that, some adversarial attack techniques have been developed to fool the deepfake detectors and make deepfakes even mor
Externí odkaz:
http://arxiv.org/abs/2407.02670
Animal behavior serves as a reliable indicator of the adaptation of organisms to their environment and their overall well-being. Through rigorous observation of animal actions and interactions, researchers and observers can glean valuable insights in
Externí odkaz:
http://arxiv.org/abs/2405.14002
Modern applications increasingly demand flexible computer vision models that adapt to novel concepts not encountered during training. This necessity is pivotal in emerging domains like extended reality, robotics, and autonomous driving, which require
Externí odkaz:
http://arxiv.org/abs/2404.03539
Autor:
Coccomini, Davide Alessandro, Caldelli, Roberto, Gennaro, Claudio, Fiameni, Giuseppe, Amato, Giuseppe, Falchi, Fabrizio
Deepfake detectors are typically trained on large sets of pristine and generated images, resulting in limited generalization capacity; they excel at identifying deepfakes created through methods encountered during training but struggle with those gen
Externí odkaz:
http://arxiv.org/abs/2403.13479
Recent advancements in large vision-language models enabled visual object detection in open-vocabulary scenarios, where object classes are defined in free-text formats during inference. In this paper, we aim to probe the state-of-the-art methods for
Externí odkaz:
http://arxiv.org/abs/2311.17518
Autor:
Bará, Salvador, Falchi, Fabio
Publikováno v:
Bar\'a S, Falchi F. 2023. Artificial light at night: a global disruptor of the night-time environment. Phil. Trans. R. Soc. B 378: 20220352
Light pollution is the alteration of the natural levels of darkness by an increased concentration of light particles in the nighttime environment, resulting from human activity. Light pollution is changing in a deep way the environmental conditions o
Externí odkaz:
http://arxiv.org/abs/2311.02098
Publikováno v:
Journal of Quantitative Spectroscopy and Radiative Transfer, Volume 298, 2023, 108503
The horizontal irradiance at the sea surface is an informative light pollution indicator to study Artificial Light at Night (ALAN) effects on marine biodiversity (e.g.: zooplankton diel vertical migration). The Posch ratio (PR) for the horizontal irr
Externí odkaz:
http://arxiv.org/abs/2308.02986
Autor:
Ana M. Valdes, Panayiotis Louca, Alessia Visconti, Francesco Asnicar, Kate Bermingham, Ana Nogal, Kari Wong, Gregory A. Michelotti, Jonathan Wolf, Nicola Segata, Tim D. Spector, Sarah E. Berry, Mario Falchi, Cristina Menni
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-11 (2024)
Abstract Background Vitamin A is essential for physiological processes like vision and immunity. Vitamin A’s effect on gut microbiome composition, which affects absorption and metabolism of other vitamins, is still unknown. Here we examined the rel
Externí odkaz:
https://doaj.org/article/c7cb3ea5a9bc44d8a7f2357c758e774e