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pro vyhledávání: '"A. Cristani"'
The fast fashion industry suffers from significant environmental impacts due to overproduction and unsold inventory. Accurately predicting sales volumes for unreleased products could significantly improve efficiency and resource utilization. However,
Externí odkaz:
http://arxiv.org/abs/2412.06840
In the fast-fashion industry, overproduction and unsold inventory create significant environmental problems. Precise sales forecasts for unreleased items could drastically improve the efficiency and profits of industries. However, predicting the succ
Externí odkaz:
http://arxiv.org/abs/2412.05566
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
Autor:
Taioli, Francesco, Zorzi, Edoardo, Franchi, Gianni, Castellini, Alberto, Farinelli, Alessandro, Cristani, Marco, Wang, Yiming
Existing embodied instance goal navigation tasks, driven by natural language, assume human users to provide complete and nuanced instance descriptions prior to the navigation, which can be impractical in the real world as human instructions might be
Externí odkaz:
http://arxiv.org/abs/2412.01250
Autor:
Syed, Usman, Cunico, Federico, Khan, Uzair, Radicchi, Eros, Setti, Francesco, Speghini, Adolfo, Marone, Paolo, Semenzin, Filiberto, Cristani, Marco
In this position paper, we propose an approach for sustainable data collection in the field of optimal mix design for marble sludge reuse. Marble sludge, a calcium-rich residual from stone-cutting processes, can be repurposed by mixing it with variou
Externí odkaz:
http://arxiv.org/abs/2411.13953
Ge'ez, an ancient Ethiopic script of cultural and historical significance, has been largely neglected in handwriting recognition research, hindering the digitization of valuable manuscripts. Our study addresses this gap by developing a state-of-the-a
Externí odkaz:
http://arxiv.org/abs/2411.13350
Continuous monitoring of coma patients is essential but challenging, especially in developing countries with limited resources, staff, and infrastructure. This paper presents a low-cost IoT-based system designed for such environments. It uses afforda
Externí odkaz:
http://arxiv.org/abs/2411.13345
Gaze Target Detection (GTD), i.e., determining where a person is looking within a scene from an external viewpoint, is a challenging task, particularly in 3D space. Existing approaches heavily rely on analyzing the person's appearance, primarily focu
Externí odkaz:
http://arxiv.org/abs/2409.17886
Autor:
Cunico, Federico, Cristani, Marco
In recent years, the development of deep learning approaches for the task of person re-identification led to impressive results. However, this comes with a limitation for industrial and practical real-world applications. Firstly, most of the existing
Externí odkaz:
http://arxiv.org/abs/2409.03879
Autor:
Capogrosso, Luigi, Toaiari, Andrea, Avogaro, Andrea, Khan, Uzair, Jivoji, Aditya, Fummi, Franco, Cristani, Marco
Patterns of human motion in outdoor and indoor environments are substantially different due to the scope of the environment and the typical intentions of people therein. While outdoor trajectory forecasting has received significant attention, indoor
Externí odkaz:
http://arxiv.org/abs/2409.00774