no code implementations • 19 Feb 2024 • Sebastian Koch, Narunas Vaskevicius, Mirco Colosi, Pedro Hermosilla, Timo Ropinski
We co-embed the features from a 3D scene graph prediction backbone with the feature space of powerful open world 2D vision language foundation models.
no code implementations • 25 Oct 2023 • Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski
While it is widely accepted that pre-training is an effective approach to improve model performance in low data regimes, in this paper, we find that existing pre-training methods are ill-suited for 3D scene graphs.
no code implementations • 27 Sep 2023 • Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski
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.
3 code implementations • 2 Mar 2020 • Mirco Colosi, Irvin Aloise, Tiziano Guadagnino, Dominik Schlegel, Bartolomeo Della Corte, Kai O. Arras, Giorgio Grisetti
Nowadays, SLAM (Simultaneous Localization and Mapping) is considered by the Robotics community to be a mature field.
Robotics
1 code implementation • 25 Feb 2020 • Giorgio Grisetti, Tiziano Guadagnino, Irvin Aloise, Mirco Colosi, Bartolomeo Della Corte, Dominik Schlegel
In this work, we propose a unified methodology to design and develop efficient Least-Squares Optimization algorithms, focusing on the structures and patterns of each specific domain.
Robotics
1 code implementation • 13 Sep 2017 • Dominik Schlegel, Mirco Colosi, Giorgio Grisetti
In this paper we present ProSLAM, a lightweight stereo visual SLAM system designed with simplicity in mind.
Robotics
no code implementations • 5 May 2017 • Antonio D'Innocente, Fabio Maria Carlucci, Mirco Colosi, Barbara Caputo
Despite the impressive progress brought by deep network in visual object recognition, robot vision is still far from being a solved problem.