Zobrazeno 1 - 10
of 1 882
pro vyhledávání: '"Cristani, A."'
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
This study introduces the Iterative Refinement Process (IRP), a robust anomaly detection methodology designed for high-stakes industrial quality control. The IRP enhances defect detection accuracy through a cyclic data refinement strategy, iterativel
Externí odkaz:
http://arxiv.org/abs/2408.11561
Autor:
Capogrosso, Luigi, Fraccaroli, Enrico, Petrozziello, Giulio, Setti, Francesco, Chakraborty, Samarjit, Fummi, Franco, Cristani, Marco
In the past decade, Deep Neural Networks (DNNs) achieved state-of-the-art performance in a broad range of problems, spanning from object classification and action recognition to smart building and healthcare. The flexibility that makes DNNs such a pe
Externí odkaz:
http://arxiv.org/abs/2407.11763
Autor:
Beveridge, Colin, Hart, Kathleen, Cristani, Cassio Rodrigo, Li, Xiao, Barbierato, Enrico, Hsu, Yi-Ting
Many-body eigenstates that are neither thermal nor many-body-localized (MBL) were numerically found in certain interacting chains with moderate quasiperiodic potentials. The energy regime consisting of these non-ergodic but extended (NEE) eigenstates
Externí odkaz:
http://arxiv.org/abs/2407.06253
Split Computing (SC), where a Deep Neural Network (DNN) is intelligently split with a part of it deployed on an edge device and the rest on a remote server is emerging as a promising approach. It allows the power of DNNs to be leveraged for latency-s
Externí odkaz:
http://arxiv.org/abs/2407.05982