Zobrazeno 1 - 10
of 28 420
pro vyhledávání: '"Cavallaro, A"'
Autor:
Baia, Alina Elena, Cavallaro, Andrea
Predicting and explaining the private information contained in an image in human-understandable terms is a complex and contextual task. This task is challenging even for large language models. To facilitate the understanding of privacy decisions, we
Externí odkaz:
http://arxiv.org/abs/2409.18674
Autor:
Bufano, F., Bordiu, C., Cecconello, T., Munari, M., Hopkins, A., Ingallinera, A., Leto, P., Loru, S., Riggi, S., Sciacca, E., Vizzari, G., De Marco, A., Buemi, C. S., Cavallaro, F., Trigilio, C., Umana, G.
Supernova remnants (SNRs) carry vast amounts of mechanical and radiative energy that heavily influence the structural, dynamical, and chemical evolution of galaxies. To this day, more than 300 SNRs have been discovered in the Milky Way, exhibiting a
Externí odkaz:
http://arxiv.org/abs/2409.06383
Due to the high cost of training, large model (LM) practitioners commonly use pretrained models downloaded from untrusted sources, which could lead to owning compromised models. In-context learning is the ability of LMs to perform multiple tasks depe
Externí odkaz:
http://arxiv.org/abs/2409.04142
Visual affordance segmentation identifies image regions of an object an agent can interact with. Existing methods re-use and adapt learning-based architectures for semantic segmentation to the affordance segmentation task and evaluate on small-size d
Externí odkaz:
http://arxiv.org/abs/2409.01814
Autor:
Bordiu, C., Filipovic, M. D., Umana, G., Cotton, W. D., Buemi, C., Bufano, F., Camilo, F., Cavallaro, F., Cerrigone, L., Dai, S., Hopkins, A. M., Ingallinera, A., Jarrett, T., Koribalski, B., Lazarevic, S., Leto, P., Loru, S., Lundqvist, P., Mackey, J., Norris, R. P., Payne, J., Rowell, G., Riggi, S., Rizzo, J. R., Ruggeri, A. C., Shabala, S., Smeaton, Z. J., Trigilio, C., Velovic, V.
We present the serendipitous discovery of a new radio-continuum ring-like object nicknamed Kyklos (J1802-3353), with MeerKAT UHF and L-band observations. The radio ring, which resembles the recently discovered odd radio circles (ORCs), has a diameter
Externí odkaz:
http://arxiv.org/abs/2408.07727
Autor:
Corsetti, Jaime, Boscaini, Davide, Giuliari, Francesco, Oh, Changjae, Cavallaro, Andrea, Poiesi, Fabio
The generalisation to unseen objects in the 6D pose estimation task is very challenging. While Vision-Language Models (VLMs) enable using natural language descriptions to support 6D pose estimation of unseen objects, these solutions underperform comp
Externí odkaz:
http://arxiv.org/abs/2406.16384
We study the time evolution of an incompressible fluid with axial symmetry without swirl when the vorticity is sharply concentrated on $N$ annuli of radii of the order of $r_0$ and thickness $\varepsilon$. We prove that when $r_0= |\log \varepsilon|^
Externí odkaz:
http://arxiv.org/abs/2405.06518
Autor:
Kaya, Yigitcan, Chen, Yizheng, Saha, Shoumik, Pierazzi, Fabio, Cavallaro, Lorenzo, Wagner, David, Dumitras, Tudor
Machine learning is widely used for malware detection in practice. Prior behavior-based detectors most commonly rely on traces of programs executed in controlled sandboxes. However, sandbox traces are unavailable to the last line of defense offered b
Externí odkaz:
http://arxiv.org/abs/2405.06124
Autor:
Xompero, Alessio, Bontonou, Myriam, Arbona, Jean-Michel, Benetos, Emmanouil, Cavallaro, Andrea
Accurately predicting whether an image is private before sharing it online is difficult due to the vast variety of content and the subjective nature of privacy itself. In this paper, we evaluate privacy models that use objects extracted from an image
Externí odkaz:
http://arxiv.org/abs/2405.01646
Recent works in hand-object reconstruction mainly focus on the single-view and dense multi-view settings. On the one hand, single-view methods can leverage learned shape priors to generalise to unseen objects but are prone to inaccuracies due to occl
Externí odkaz:
http://arxiv.org/abs/2405.01353