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personal data approved: 2023. I. 05.
Personal data
László Szécsi
name László Szécsi
name of institution
doctoral school
BME Doctoral School of Informatics (Supervisor)
the share of work in the different doctoral schools. BME Doctoral School of Informatics 100%
Contact details
E-mail address szecsiiit.bme.hu
phone number +36 1 463-1517
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2010
discipline to which degree belongs computer sciences
institution granting the degree Budapest University of Technology and Ecomnomics
Employment
2004 - Budapest University of Technology and Economics
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 3
number of students who fulfilled course requirements 1
students who obtained their degrees:
Ágota Enikő Kacsó PhD 2021  DSI-BME

present PhD students:
András Máté Fridvalszky (PhD) (2025/01)  DSI-BME
Attila Ádám Kárpáti (PhD) (2025/01)  DSI-BME
Viktória Burkus (PhD) (2025/01)  DSI-BME
  Thesis topic proposals
Research
research area Algorithms in computer graphics, principally image synthesis, including both photo-realistic and stylistic rendering in real-time, on parallel architectures.
research field in which current research is conducted computer sciences
Publications
2022

Viktória Burkus, Attila Kárpáti, Gergely Klár, László Szécsi: Real-time Sponge and Fluid Simulation, In: Pelechano, Nuria; Vanderhaeghe, David (szerk.) Eurographics 2022 - Short Papers, Eurographics Association (2022) pp. 81-84.
type of document: Part of book/Proceedings Paper
language: English
2021

Burkus Viktória, Kárpáti Attila, Szécsi László: Particle-Based Fluid Surface Rendering with Neural Networks, In: Computer Science Research Notes, (2021) pp. 237-244.
type of document: Conference paper/Előadás vagy poszter cikke
language: English
URL 
2021

Burkus Viktória, Kárpáti Attila, Szécsi László: Particle-Based Fluid Surface Rendering with Neural Networks, Computer Science Research Notes 3101: pp. 237-244.
type of document: Journal paper/Konferenciaközlemény
language: English
URL 
2020

Milán Magdics, László Szirmay-Kalos, Balázs Tóth, László Szécsi: Depth of Interaction Modeling for PET, In: László, Szirmay-Kalos; Bálint, Kiss (szerk.) Proceedings of the Workshop on the Advances of Information Technology 2020 : WAIT 2020, Budapesti Műszaki és Gazdaságtudományi Egyetem Villamosmérnöki és Informatikai Kar (2020) pp. 79-88.
type of document: Part of book/Proceedings Paper
language: English
2018

Umenhoffer T, Szirmay-Kalos L, Szecsi L, Lengyel Z, Marinov G: An image-based method for animated stroke rendering, VISUAL COMPUTER 34: (6-8) pp. 817-827.
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL 
2018

Tamas Umenhoffer, Marton Toth, Agota Kacso, Laszlo Szecsi, Akos Szlavecz, Peter Somogyi, Laszlo Szilagyi, Aniko Kubovje, Tamas Szerafin, Laszlo Szirmay-Kalos, Balazs Benyo: Modeling and simulation framework of aortic valve for hemodynamic evaluation of aortic root replacement surgery outcomes, IFAC PAPERSONLINE 51: (27) pp. 258-263.
type of document: Journal paper/Konferenciaközlemény
language: English
URL 
2017

Szirmay-Kalos L, Szécsi L: Improved stratification for Metropolis light transport, COMPUTERS & GRAPHICS-UK 68: pp. 11-20.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2017

Szecsi L, Kacso A, Zeck G, Hantz P: Interactive Light Stimulus Generation with High Performance Real-Time Image Processing and Simple Scripting, FRONTIERS IN NEUROINFORMATICS 11: 70
type of document: Journal paper/Article
language: English
URL 
2016

László Szécsi, Zoltán Bendefy, Ágota Kacsó: Kernel-Reflection Sequences, In: Giovanni, Pintore; Filippo, Stanco (szerk.) STAG 2016, European Association for Computer Graphics (2016) pp. 53-62.
type of document: Part of book/Proceedings Paper
language: English
URL 
2011

Tamás Umenhoffer, László Szécsi, László Szirmay-Kalos: Hatching for motion picture production, COMPUTER GRAPHICS FORUM 30: (2) pp. 533-542.
type of document: Journal paper/Article
number of independent citations: 13
language: English
URL 
Number of independent citations to these publications:22 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
98
number of scientific publications:
98
monographs and professional books:
1
monographs/books in which chapters/sections were contributed:
8 
number of independent citations to scientific publications and creative works:
266

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )