TY - BOOK ED - Szécsi, László ED - Salvi, Péter TI - XI. Magyar Számítógépes Grafika és Geometria Konferencia C1 - Budapest PY - 2024 SP - 156 SN - 9789634219484 UR - https://m2.mtmt.hu/api/publication/34782220 ID - 34782220 LA - English DB - MTMT ER - TY - JOUR AU - Fridvalszky, András Máté AU - Tóth, Balázs György AU - Szécsi, László TI - Evaluating dehazing techniques on artificial and satellite land surface images JF - IDŐJÁRÁS / QUARTERLY JOURNAL OF THE HUNGARIAN METEOROLOGICAL SERVICE J2 - IDŐJÁRÁS VL - 127 PY - 2023 IS - 4 SP - 447 EP - 457 PG - 11 SN - 0324-6329 DO - 10.28974/idojaras.2023.4.2 UR - https://m2.mtmt.hu/api/publication/34417874 ID - 34417874 N1 - Export Date: 21 December 2023 Correspondence Address: Fridvalszky, A.; Department of Control Engineering and Information Technology, Műegyetem rkp. 3, Hungary; email: fridvalszky@iit.bme.hu Funding Agency and Grant Number: Ministry of Innovation and Technology NRDI Office Funding text: The authors would like to express their gratitude towards Dr. Kalman Kovacs, Dr. Daniel Kristof, and the Lechner Knowledge Center for providing advice and support with the acquisition of satellite images. The research was supported by the Ministry of Innovation and Technology NRDI Office within the framework of the Artificial Intelligence National Laboratory Program. The GPUs have been donated by NVIDIA. AB - Many image-based recognition tasks are highly susceptible to different types of natural phenomena like foggy weather, snow, or rain. The participating media will likely obscure important details necessary for these algorithms to work correctly. Still, these aspects could be recovered in certain situations with prior information about the underlying light interactions. This could be done with certain heuristics or with the nowadays popular deep-learning based methods. In this paper, we review and compare the results of two approaches to remove or scale down the effects of foggy weather. We also examine how these results can be applied to high resolution satellite images of land surfaces. LA - English DB - MTMT ER - TY - CHAP AU - Burkus, Viktória AU - Kárpáti, Attila AU - Szécsi, László ED - Pellegrino, Maria Angela ED - Lancia, Loreto ED - Ivanova, Malinka ED - Kim, Tae-eun ED - Caruso, Federica ED - Kubincová, Zuzana TI - NLP-Assisted Educational Memory Game Experiment T2 - Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference VL - 769 LNNS PB - Springer Nature Switzerland AG CY - Cham SN - 9783031421341 T3 - Lecture Notes in Networks and Systems, ISSN 2367-3370 ; 769. PY - 2023 SP - 59 EP - 69 PG - 11 DO - 10.1007/978-3-031-42134-1_6 UR - https://m2.mtmt.hu/api/publication/34192933 ID - 34192933 N1 - Export Date: 13 October 2023 Correspondence Address: Burkus, V.; Department of Control Engineering and Information Technology, Műegyetem rkp. 3., Hungary; email: burkus.viki@gmail.com LA - English DB - MTMT ER - TY - CHAP AU - Väljataga, T. AU - Pata, K. AU - Annus, A. AU - Calisto, M.A. AU - Cambronero, A.G. AU - Eisemann, E. AU - Kasini, A. AU - Marroquim, R. AU - Remolar, I. AU - Szécsi, László AU - Zaidi, A. AU - Vidal, R.G. ED - Pellegrino, Maria Angela ED - Lancia, Loreto ED - Ivanova, Malinka ED - Kim, Tae-eun ED - Caruso, Federica ED - Kubincová, Zuzana TI - Exploring Value and Ethical Dimensions of Disruptive Technologies for Learning and Teaching T2 - Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference VL - 769 LNNS PB - Springer Nature Switzerland AG CY - Cham SN - 9783031421341 T3 - Lecture Notes in Networks and Systems, ISSN 2367-3370 ; 769. PY - 2023 SP - 107 EP - 116 PG - 10 DO - 10.1007/978-3-031-42134-1_11 UR - https://m2.mtmt.hu/api/publication/34192932 ID - 34192932 N1 - Tallinn University, Narva mnt 25, Tallinn, 10120, Estonia Universitat Jaume I, Castello de la Plana, Comunitat Valenciana, Spain Delft University of Technology, Mekelweg 5, Delft, 2628 CD, Netherlands Center for Social Innovation, 62 Rigenis Street, Nicosia, 1010, Cyprus Budapest University of Technology and Economics, Műegyetem rkp. 3, Budapest, 1111, Hungary Export Date: 13 October 2023 Correspondence Address: Väljataga, T.; Tallinn University, Narva mnt 25, Estonia; email: terje.valjataga@tlu.ee LA - English DB - MTMT ER - TY - CHAP AU - Szirmay-Kalos, László AU - Varnyú, Dóra AU - Fridvalszky, András Máté AU - Szécsi, László ED - Szirmay-Kalos, L ED - Renner, Gábor TI - Virtual Reality Simulation of Surgical Procedures T2 - X. Magyar Számítógépes Grafika és Geometria Konferencia PB - Neumann János Számítógép-tudományi Társaság CY - Budapest SN - 9789634218715 PY - 2022 SP - 51 EP - 56 PG - 6 UR - https://m2.mtmt.hu/api/publication/33550817 ID - 33550817 LA - English DB - MTMT ER - TY - CHAP AU - Fridvalszky, András Máté AU - Szécsi, László ED - Szirmay-Kalos, L ED - Renner, Gábor TI - Efficient surface remeshing on the GPU T2 - X. Magyar Számítógépes Grafika és Geometria Konferencia PB - Neumann János Számítógép-tudományi Társaság CY - Budapest SN - 9789634218715 PY - 2022 SP - 89 EP - 94 PG - 6 UR - https://m2.mtmt.hu/api/publication/33531551 ID - 33531551 LA - English DB - MTMT ER - TY - CHAP AU - Burkus, Viktória AU - Kárpáti, Attila AU - Szécsi, László ED - Szirmay-Kalos, L ED - Renner, Gábor TI - Ray Marching Fluids near Porous Surfaces T2 - X. Magyar Számítógépes Grafika és Geometria Konferencia PB - Neumann János Számítógép-tudományi Társaság CY - Budapest SN - 9789634218715 PY - 2022 SP - 95 EP - 98 PG - 4 UR - https://m2.mtmt.hu/api/publication/32892595 ID - 32892595 LA - English DB - MTMT ER - TY - CONF AU - Burkus, Viktória AU - Kárpáti, Attila AU - Szécsi, László TI - Flow Simulation Controlled by Animated Triangle Meshes T2 - Proceedings of CESCG 2020: The 24th Central European Seminar on Computer Graphics PY - 2022 SP - 0 EP - 8 PG - 9 UR - https://m2.mtmt.hu/api/publication/32850707 ID - 32850707 LA - English DB - MTMT ER - TY - CHAP AU - Burkus, Viktória AU - Kárpáti, Attila AU - Gergely, Klár AU - Szécsi, László ED - Pelechano, Nuria ED - Vanderhaeghe, David TI - Real-time Sponge and Fluid Simulation T2 - Eurographics 2022 - Short Papers PB - Eurographics Association CY - [s.l.] SN - 9783038681694 PY - 2022 SP - 81 EP - 84 PG - 4 UR - https://m2.mtmt.hu/api/publication/32850432 ID - 32850432 LA - English DB - MTMT ER - TY - BOOK AU - Szőke, Balázs AU - Szécsi, László TI - Analyzing Architectural Floor Plans Using Neural Networks PY - 2022 UR - https://m2.mtmt.hu/api/publication/32850296 ID - 32850296 LA - English DB - MTMT ER -