Publications

Tamás Szirányi

Head of research laboratory

@email

Phone

+3612796106

Fax

+3612796292

Address

H-1111 Budapest, Kende u. 13-17.

Room number

K 414

Machine Perception Research Laboratory

2022

REMOTE SENSING, 14 (17). ISSN 2072-4292

Road Condition Detection and Emergency Rescue Recognition Using On-Board UAV in the Wildness

Authors

Liu, Chang

Szirányi, Tamás

2022

LECTURE NOTES IN COMPUTER SCIENCE, 13232, pp. 51-64. ISSN 0302-9743

Temporal Up-Sampling of LIDAR Measurements Based on a Mono Camera

Authors

Rózsa, Zoltán

Szirányi, Tamás

2021

In: Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems SciTePress, Setúbal, pp. 90-99.

Water Hazard Depth Estimation for Safe Navigation of Intelligent Vehicles

Authors

Rózsa, Zoltán

Golarits, Marcell

Szirányi, Tamás

2021

In: Proceedings of the International Conference on Image Processing and Vision Engineering, Vol. 1 SciTePress, Setúbal, pp. 180-187.

Gesture Recognition for UAV-based Rescue Operation based on Deep Learning

Authors

Liu, Chang

Szirányi, Tamás

2021

DIGITAL SIGNAL PROCESSING, 119 ISSN 1051-2004

Positioning and perception in LIDAR point clouds

Authors

2021

SENSORS, 21 (6). ISSN 1424-8220

Real-Time Human Detection and Gesture Recognition for On-Board UAV Rescue

Authors

Liu, Chang

Szirányi, Tamás

2020

LECTURE NOTES IN COMPUTER SCIENCE, 12002, pp. 312-324. ISSN 0302-9743

Localization of Map Changes by Exploiting SLAM Residuals

Authors

Rózsa, Zoltán

Golarits, M

Szirányi, Tamás

2020

IEEE TRANSACTIONS ON IMAGE PROCESSING, 29, pp. 4041-4056. ISSN 1057-7149

KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment

Authors

Hosu, V

Lin, H

Szirányi, Tamás

Saupe, D

2020

PATTERN RECOGNITION LETTERS, 129, pp. 131-136. ISSN 0167-8655

MASAT: A fast and robust algorithm for pose-graph initialization

Authors

Harsányi, Károly

Kiss, A

Szirányi, Tamás

Majdik, András

2019

In: 3rd IEEE International Conference on Image Processing, Applications and Systems, IPAS 2018 IEEE, Piscataway (NJ), pp. 156-161.

Street object classification via LIDARs with only a single or a few layers

Authors

Rózsa, Zoltán

Szirányi, Tamás

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Artificial Intelligence Laboratory

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Department of Distributed Systems

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Machine Perception Research Laboratory

Research Laboratory on Engineering & Management Intelligence

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U-learning, Multimedia, Virtual Tours

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Ipar 4.0 National Technology Platform Association

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Publications

Tamás Szirányi

Machine Perception Research Laboratory

Road Condition Detection and Emergency Rescue Recognition Using On-Board UAV in the Wildness

Temporal Up-Sampling of LIDAR Measurements Based on a Mono Camera

Water Hazard Depth Estimation for Safe Navigation of Intelligent Vehicles

Gesture Recognition for UAV-based Rescue Operation based on Deep Learning

Positioning and perception in LIDAR point clouds

Real-Time Human Detection and Gesture Recognition for On-Board UAV Rescue

Localization of Map Changes by Exploiting SLAM Residuals

KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment

MASAT: A fast and robust algorithm for pose-graph initialization

Street object classification via LIDARs with only a single or a few layers