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pro vyhledávání: '"Colosi Mirco"'
Autor:
Koch, Sebastian, Wald, Johanna, Colosi, Mirco, Vaskevicius, Narunas, Hermosilla, Pedro, Tombari, Federico, Ropinski, Timo
Neural radiance fields are an emerging 3D scene representation and recently even been extended to learn features for scene understanding by distilling open-vocabulary features from vision-language models. However, current method primarily focus on ob
Externí odkaz:
http://arxiv.org/abs/2412.13652
Autor:
Frantellizzi Viviana, Pani Arianna, Ippoliti Maria Dea, Farcomeni Alessio, Aloise Irvin, Colosi Mirco, Polito Claudia, Pani Roberto, Vincentis Giuseppe De
Publikováno v:
Radiology and Oncology, Vol 54, Iss 1, Pp 40-47 (2019)
Aim of our study was to assess the load of bone disease at starting and during Ra-223 treatment as an overall survival (OS) predictor in metastatic castration-resistant prostate cancer (mCRPC) patients. Bone scan index (BSI) is defined as the percent
Externí odkaz:
https://doaj.org/article/823bce5a52c541aa84a06398385726bf
Current approaches for 3D scene graph prediction rely on labeled datasets to train models for a fixed set of known object classes and relationship categories. We present Open3DSG, an alternative approach to learn 3D scene graph prediction in an open
Externí odkaz:
http://arxiv.org/abs/2402.12259
D scene graphs are an emerging 3D scene representation, that models both the objects present in the scene as well as their relationships. However, learning 3D scene graphs is a challenging task because it requires not only object labels but also rela
Externí odkaz:
http://arxiv.org/abs/2310.16494
In the field of 3D scene understanding, 3D scene graphs have emerged as a new scene representation that combines geometric and semantic information about objects and their relationships. However, learning semantic 3D scene graphs in a fully supervise
Externí odkaz:
http://arxiv.org/abs/2309.15702
Autor:
Colosi, Mirco, Aloise, Irvin, Guadagnino, Tiziano, Schlegel, Dominik, Della Corte, Bartolomeo, Arras, Kai O., Grisetti, Giorgio
Nowadays, SLAM (Simultaneous Localization and Mapping) is considered by the Robotics community to be a mature field. Currently, there are many open-source systems that are able to deliver fast and accurate estimation in typical real-world scenarios.
Externí odkaz:
http://arxiv.org/abs/2003.00754
Autor:
Grisetti, Giorgio, Guadagnino, Tiziano, Aloise, Irvin, Colosi, Mirco, Della Corte, Bartolomeo, Schlegel, Dominik
Nowadays, Non-Linear Least-Squares embodies the foundation of many Robotics and Computer Vision systems. The research community deeply investigated this topic in the last years, and this resulted in the development of several open-source solvers to a
Externí odkaz:
http://arxiv.org/abs/2002.11051
In this paper we present ProSLAM, a lightweight stereo visual SLAM system designed with simplicity in mind. Our work stems from the experience gathered by the authors while teaching SLAM to students and aims at providing a highly modular system that
Externí odkaz:
http://arxiv.org/abs/1709.04377
Despite the impressive progress brought by deep network in visual object recognition, robot vision is still far from being a solved problem. The most successful convolutional architectures are developed starting from ImageNet, a large scale collectio
Externí odkaz:
http://arxiv.org/abs/1705.02139
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