Zobrazeno 1 - 10
of 24 886
pro vyhledávání: '"Palazzo, A."'
Autor:
Riggi, S., Cecconello, T., Palazzo, S., Hopkins, A. M., Gupta, N., Bordiu, C., Ingallinera, A., Buemi, C., Bufano, F., Cavallaro, F., Filipović, M. D., Leto, P., Loru, S., Ruggeri, A. C., Trigilio, C., Umana, G., Vitello, F.
New advancements in radio data post-processing are underway within the SKA precursor community, aiming to facilitate the extraction of scientific results from survey images through a semi-automated approach. Several of these developments leverage dee
Externí odkaz:
http://arxiv.org/abs/2404.18462
Autor:
Moradi, Morteza, Moradi, Mohammad, Rundo, Francesco, Spampinato, Concetto, Borji, Ali, Palazzo, Simone
Recent advancements in video saliency prediction (VSP) have shown promising performance compared to the human visual system, whose emulation is the primary goal of VSP. However, current state-of-the-art models employ spatio-temporal transformers trai
Externí odkaz:
http://arxiv.org/abs/2404.03097
We present DiffExplainer, a novel framework that, leveraging language-vision models, enables multimodal global explainability. DiffExplainer employs diffusion models conditioned on optimized text prompts, synthesizing images that maximize class outpu
Externí odkaz:
http://arxiv.org/abs/2404.02618
Autor:
Bellitto, Giovanni, Salanitri, Federica Proietto, Pennisi, Matteo, Boschini, Matteo, Porrello, Angelo, Calderara, Simone, Palazzo, Simone, Spampinato, Concetto
We present SAM, a biologically-plausible selective attention-driven modulation approach to enhance classification models in a continual learning setting. Inspired by neurophysiological evidence that the primary visual cortex does not contribute to ob
Externí odkaz:
http://arxiv.org/abs/2403.20086
Autor:
Palazzo, Matteo, Roversi, Luca
Concerning classical computational models able to express all the Primitive Recursive Functions (PRF), there are interesting results regarding limits on their algorithmic expressiveness or, equivalently, efficiency, namely the ability to express algo
Externí odkaz:
http://arxiv.org/abs/2402.19012
Creating high-quality materials in computer graphics is a challenging and time-consuming task, which requires great expertise. To simplify this process, we introduce MatFuse, a unified approach that harnesses the generative power of diffusion models
Externí odkaz:
http://arxiv.org/abs/2308.11408
Publikováno v:
Desarrollo Económico, 2024 Jan 01. 63(241), 252-286.
Externí odkaz:
https://www.jstor.org/stable/48771911
Autor:
Trinca, Cibele Cristina, Palazzo Jr., Reginaldo, Watanabe, Ricardo Augusto, de Albuquerque, Clarice Dias, Interlando, José Carmelo, de Andrade, Antônio Aparecido
Ongoing research and experiments have enabled quantum memory to realize the storage of qubits. On the other hand, interleaving techniques are used to deal with burst of errors. Effective interleaving techniques for combating burst of errors by using
Externí odkaz:
http://arxiv.org/abs/2307.06241
Autor:
Pennisi, Matteo, Salanitri, Federica Proietto, Bellitto, Giovanni, Palazzo, Simone, Bagci, Ulas, Spampinato, Concetto
Generative Adversarial Networks (GANs) have demonstrated their ability to generate synthetic samples that match a target distribution. However, from a privacy perspective, using GANs as a proxy for data sharing is not a safe solution, as they tend to
Externí odkaz:
http://arxiv.org/abs/2307.02984
Autor:
Vecchio, Giuseppe, Prezzavento, Luca, Pino, Carmelo, Rundo, Francesco, Palazzo, Simone, Spampinato, Concetto
Polygonal meshes have become the standard for discretely approximating 3D shapes, thanks to their efficiency and high flexibility in capturing non-uniform shapes. This non-uniformity, however, leads to irregularity in the mesh structure, making tasks
Externí odkaz:
http://arxiv.org/abs/2307.01115