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Lóránt Kovács
Lóránt Kovács
Pázmány Péter Catholic University, The Faculty of Information Technology and Bionics
Verified email at itk.ppke.hu
Title
Cited by
Cited by
Year
ChangeGAN: A deep network for change detection in coarsely registered point clouds
B Nagy, L Kovács, C Benedek
IEEE Robotics and Automation Letters 6 (4), 8277-8284, 2021
182021
Performance evaluation of a track to track sensor fusion algorithm
L Kovacs, L Lindenmaier, H Nemeth, V Tihanyi, Á Zarándy
CNNA 2018; The 16th International Workshop on Cellular Nanoscale Networks …, 2018
82018
Real-time foreground segmentation for surveillance applications in NRCS LiDAR sequences
L Kovács, M Kégl, C Benedek
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022
42022
LidPose: Real-Time 3D Human Pose Estimation in Sparse Lidar Point Clouds with Non-Repetitive Circular Scanning Pattern
L Kovács, BM Bódis, C Benedek
Sensors 24 (11), 3427, 2024
32024
Application of three dimensional gesture control for educational and medical purposes
D Huszár, L Kovács, A Pálffy, A Horváth
EESTEC Conference 2014, 2014
32014
Multi-Object Detection in Urban Scenes Utilizing 3D Background Maps and Tracking
O Zováthi, L Kovács, B Nagy, C Benedek
2019 International Conference on Control, Artificial Intelligence, Robotics …, 2019
12019
Cellular Vision Based ADAS Applications
A Horvath, I Horvath, A Kiss, D Huszar, A Palffy, L Kovacs, D Babicz, ...
CNNA 2016; 15th International Workshop on Cellular Nanoscale Networks and …, 2016
12016
TRAINING METHOD FOR TRAINING A CHANGE DETECTION SYSTEM, TRAINING SET GENERATING METHOD THEREFOR, AND CHANGE DETECTION SYSTEM
L NAGY, Balázs KOVÁCS, Lóránt BENEDEK, Csaba SZIRÁNYI, Tamás H. ZOVÁTHI ...
WO Patent WO2,023,007,198, 2023
2023
Application of the Nonlinear Wave Metric for Gesture Classification and Gesture Control
A Pálffy, D Huszar, L Kovacs, A Horvath
2014
Extension of the Nonlinear Wave Metric to Higher Dimensions for Spatiotemporal Classification
A Pálffy, L Kovács, D Huszár, A Horváth
2014
Real-time foreground segmentation for surveillance applications in sequences from a Non-repetitive Circular Scanning Lidar
L Kovács, M Kégl, C Benedek
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