Search Results for author: Leonard Bauersfeld

Found 4 papers, 1 papers with code

Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight

no code implementations18 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.

Imitation Learning reinforcement-learning +1

Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight

no code implementations18 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.

Contrastive Learning Representation Learning

Event-based Shape from Polarization

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.

Cracking Double-Blind Review: Authorship Attribution with Deep Learning

1 code implementation14 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.

Attribute Authorship Attribution

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