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of 10 133
pro vyhledávání: '"Galasso A."'
Accurately estimating the 3D pose of the camera wearer in egocentric video sequences is crucial to modeling human behavior in virtual and augmented reality applications. The task presents unique challenges due to the limited visibility of the user's
Externí odkaz:
http://arxiv.org/abs/2411.04598
Autor:
Plini, Leonardo, Scofano, Luca, De Matteis, Edoardo, di Melendugno, Guido Maria D'Amely, Flaborea, Alessandro, Sanchietti, Andrea, Farinella, Giovanni Maria, Galasso, Fabio, Furnari, Antonino
Identifying procedural errors online from egocentric videos is a critical yet challenging task across various domains, including manufacturing, healthcare, and skill-based training. The nature of such mistakes is inherently open-set, as unforeseen or
Externí odkaz:
http://arxiv.org/abs/2411.02570
Autor:
Galasso, Andrea, Hsiao, Chin-Yu
Consider a compact torsion free CR manifold $X$ and assume that $X$ admits a compact CR Lie group action $G$. Let $L$ be a $G$-equivariant rigid CR line bundle over $X$. It seems natural to consider the space of $G$-invariant CR sections in the high
Externí odkaz:
http://arxiv.org/abs/2411.00478
Autor:
Pal, Avik, van Spengler, Max, di Melendugno, Guido Maria D'Amely, Flaborea, Alessandro, Galasso, Fabio, Mettes, Pascal
Image-text representation learning forms a cornerstone in vision-language models, where pairs of images and textual descriptions are contrastively aligned in a shared embedding space. Since visual and textual concepts are naturally hierarchical, rece
Externí odkaz:
http://arxiv.org/abs/2410.06912
Autor:
Galasso, Andrea
The asymptotic results for Berezin-Toeplitz operators yield a strict quantization for the algebra of smooth functions on a given Hodge manifold. It seems natural to generalize this picture for quantizable pseudo-K\"ahler manifolds in presence of a gr
Externí odkaz:
http://arxiv.org/abs/2410.03322
Autor:
Rahman, Muhammad Rameez Ur, Giraldo, Jhony H., Spinelli, Indro, Lathuilière, Stéphane, Galasso, Fabio
Event cameras, known for low-latency operation and superior performance in challenging lighting conditions, are suitable for sensitive computer vision tasks such as semantic segmentation in autonomous driving. However, challenges arise due to limited
Externí odkaz:
http://arxiv.org/abs/2408.09424
Autor:
Semenok, Dmitrii V., Troyan, Ivan A., Zhou, Di, Sadakov, Andrei V., Pervakov, Kirill S., Sobolevskiy, Oleg A., Ivanova, Anna G., Galasso, Michele, Alabarse, Frederico Gil, Chen, Wuhao, Xi, Chuanying, Helm, Toni, Luther, Sven, Pudalov, Vladimir M., Struzhkin, Viktor V.
Lanthanum-hydrogen system and its derivatives remain among the most promising for achieving room-temperature superconductivity. In this study, we examined the formation of ternary lanthanum-scandium superhydrides at pressures up to 220 GPa. The prima
Externí odkaz:
http://arxiv.org/abs/2408.07477
Hyperbolic embeddings have demonstrated their effectiveness in capturing measures of uncertainty and hierarchical relationships across various deep-learning tasks, including image segmentation and active learning. However, their application in modern
Externí odkaz:
http://arxiv.org/abs/2408.05097
Autonomous robots are increasingly becoming a strong fixture in social environments. Effective crowd navigation requires not only safe yet fast planning, but should also enable interpretability and computational efficiency for working in real-time on
Externí odkaz:
http://arxiv.org/abs/2407.13567
The target duration of a synthesized human motion is a critical attribute that requires modeling control over the motion dynamics and style. Speeding up an action performance is not merely fast-forwarding it. However, state-of-the-art techniques for
Externí odkaz:
http://arxiv.org/abs/2407.11532