Jonás Kulhánek

According to our database, Jonás Kulhánek authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

SymFormer: End-to-End Symbolic Regression Using Transformer-Based Architecture.

Martin Vastl, Jonás Kulhánek, Jirí Kubalík, Erik Derner, Robert Babuska

IEEE Access, 2024

2023

Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra.

Jonás Kulhánek, Torsten Sattler

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

ViewFormer: NeRF-Free Neural Rendering from Few Images Using Transformers.

Jonás Kulhánek, Erik Derner, Torsten Sattler, Robert Babuska

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning.

Jonás Kulhánek, Erik Derner, Robert Babuska

IEEE Robotics Autom. Lett., 2021

AuGPT: Dialogue with Pre-trained Language Models and Data Augmentation.

Jonás Kulhánek, Vojtech Hudecek, Tomás Nekvinda, Ondrej Dusek

CoRR, 2021

2019

Vision-based Navigation Using Deep Reinforcement Learning.

Jonás Kulhánek, Erik Derner, Tim de Bruin, Robert Babuska

Proceedings of the 2019 European Conference on Mobile Robots, 2019