Zobrazeno 1 - 10
of 86
pro vyhledávání: '"PETROVIC, LUKA"'
Generalizing metric monocular depth estimation presents a significant challenge due to its ill-posed nature, while the entanglement between camera parameters and depth amplifies issues further, hindering multi-dataset training and zero-shot accuracy.
Externí odkaz:
http://arxiv.org/abs/2412.06080
State estimation is an essential component of autonomous systems, usually relying on sensor fusion that integrates data from cameras, LiDARs and IMUs. Recently, radars have shown the potential to improve the accuracy and robustness of state estimatio
Externí odkaz:
http://arxiv.org/abs/2406.18850
Learning-based monocular depth estimation leverages geometric priors present in the training data to enable metric depth perception from a single image, a traditionally ill-posed problem. However, these priors are often specific to a particular domai
Externí odkaz:
http://arxiv.org/abs/2312.06021
The analysis of temporal networks heavily depends on the analysis of time-respecting paths. However, before being able to model and analyze the time-respecting paths, we have to infer the timescales at which the temporal edges influence each other. I
Externí odkaz:
http://arxiv.org/abs/2301.11623
Autor:
Petrović, Luka V., Perri, Vincenzo
Mesoscale structures are an integral part of the abstraction and analysis of complex systems. They reveal a node's function in the network, and facilitate our understanding of the network dynamics. For example, they can represent communities in socia
Externí odkaz:
http://arxiv.org/abs/2301.11120
Many network analysis and graph learning techniques are based on models of random walks which require to infer transition matrices that formalize the underlying stochastic process in an observed graph. For weighted graphs, it is common to estimate th
Externí odkaz:
http://arxiv.org/abs/2210.15410
Autor:
Štironja, Vlaho-Josip a, ⁎, Peršić, Juraj b, Petrović, Luka a, Marković, Ivan a, Petrović, Ivan a
Publikováno v:
In Robotics and Autonomous Systems February 2025 184
Over the years, the separate fields of motion planning, mapping, and human trajectory prediction have advanced considerably. However, the literature is still sparse in providing practical frameworks that enable mobile manipulators to perform whole-bo
Externí odkaz:
http://arxiv.org/abs/2201.05058
Publikováno v:
Phys. Rev. E 108, 034312 (2023)
We introduce time-ordered multibody interactions to describe complex systems manifesting temporal as well as multibody dependencies. First, we show how the dynamics of multivariate Markov chains can be decomposed in ensembles of time-ordered multibod
Externí odkaz:
http://arxiv.org/abs/2111.14611
Autor:
Zhiponova, Miroslava, Yordanova, Zhenya, Zaharieva, Anna, Ivanova, Lyubomira, Gašić, Uroš, Mišić, Danijela, Aničić, Neda, Skorić, Marijana, Petrović, Luka, Rusanov, Krasimir, Rusanova, Mila, Mantovska, Desislava, Tsacheva, Ivanka, Petrova, Detelina, Yocheva, Lyubomira, Hinkov, Anton, Mihaylova, Nikolina, Hristozkova, Marieta, Georgieva, Zhaneta, Karcheva, Zornitsa, Krumov, Nikolay, Todorov, Daniel, Shishkova, Kalina, Vassileva, Valya, Chaneva, Ganka, Kapchina-Toteva, Veneta
Publikováno v:
In Plant Physiology and Biochemistry September 2024 214