no code implementations • 18 Mar 2024 • Jiaxu Xing, Angel Romero, Leonard Bauersfeld, Davide Scaramuzza
Our experiments in both simulated and real-world environments demonstrate that our approach achieves superior performance and robustness than IL or RL alone in navigating a quadrotor through a racing course using only visual information without explicit state estimation.
no code implementations • 18 Sep 2023 • Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza
The utility of a robot greatly depends on its ability to perform a task in the real world, outside of a well-controlled lab environment.
no code implementations • CVPR 2023 • Manasi Muglikar, Leonard Bauersfeld, Diederik Paul Moeys, Davide Scaramuzza
Our method uses the continuous event stream caused by the rotation to reconstruct relative intensities at multiple polarizer angles.
1 code implementation • 14 Nov 2022 • Leonard Bauersfeld, Angel Romero, Manasi Muglikar, Davide Scaramuzza
In this work, we present a transformer-based, neural-network architecture that only uses the text content and the author names in the bibliography to attribute an anonymous manuscript to an author.