Research Assistant
Computer Vision & Artificial Intelligence
lukas.neumann@cvut.cz | |
Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague Technicka 2, 166 27 Prague |
I am a reasearcher in the Visual Recognition Group at the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague.
I received my MSc degree in Computer Science from Czech Technical University in 2010, and my PhD degree in Artificial Intelligence from Czech Technical University in 2017 under supervision of prof. Jiří Matas. Between 2017 and 2020, I was a postdoctoral researcher in Visual Geometry Group, University of Oxford under supervision of prof. Andrea Vedaldi and prof. Andrew Zisserman.
I am currently working on computer vision algorithms for autonomous driving.
Select Publications
- L Neumann, A Vedaldi. Pedestrian and Ego-Vehicle Trajectory Prediction From Monocular Camera. CVPR 2021.
- L Neumann, A Zisserman, A Vedaldi. Future event prediction: If and when. Precognition CVPR 2019 Workshop.Best Paper Award
- M Busta, L Neumann, J Matas. Deep TextSpotter: An end-to-end trainable scene text localization and recognition framework. ICCV 2017.
- L Neumann, J Matas. Efficient scene text localization and recognition with local character refinement. ICDAR 2015.Best Paper Award
- L Neumann, J Matas. On combining multiple segmentations in scene text recognition. ICDAR 2013.Best Student Paper Award
Education
-
Postdoctoral Research Assistant, 2017-2020
Dept. of Engineering Science, University of Oxford -
Ph.D. in Artificial Intelligence, 2017
Faculty of Electrical Engineering, Czech Technical University -
MSc in Computer Science, 2010
Faculty of Electrical Engineering, Czech Technical UniversityBSc in Computer Science, 2008
Faculty of Electrical Engineering, Czech Technical UniversityAwards
-
Česká Hlava (Czech Mind), 2018
cena Doctorandus za technické vědy -
-
Cena Josefa Hlávky (Josef Hlávka Award), 2010
award -
Diplomová práce roku (Best Master Thesis Award), 2010
award