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personal data approved: 2016. III. 23.
Personal data
name László Czúni
year of birth 1972
name of institution
doctoral school
PE Doctoral School of Information Science and Technology (Core member)
Council of the Doctoral School
accreditation statement submitted to: Pannon University, Veszprém
HAC accreditation
full compliance
(2015. I. 30.)
Contact details
E-mail address czunialmos.vein.hu
phone number +36 88 624-800
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2001
discipline to which degree belongs computer sciences
institution granting the degree Veszprémi Egyetem (to be translated)
Employment
2001 - Pannon University, Veszprém
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 7
number of students who fulfilled course requirements 2
students who obtained their degrees:
Ákos Utasi PhD 2012  DSIST-PE
(50%) Ildikó Jancskárné Anweiler PhD 2009  DSIST-PE

completed course requirement, without degree or degree granting in process:
Péter József Kiss (PhD) 2016/08  DSIST-PE
present PhD students:
Rashad Metwally Omar Metwally (PhD) (2017/01)  DSIST-PE
  Thesis topic proposals
Research
research area image processing video processing computer vision image and video coding unusual event detection motion analysis
research field in which current research is conducted computer sciences
Publications
2015

Agnes Lipovits, Laszlo Czuni, Gabor Seress: A Tool for Quantifying the Urban Gradient, In: Szerk.: Dr Gregory T Papanikos ATINER CONFERENCE PAPER SERIES PLA 2015-1709. Athén: Athens Institute for Education and Research, 2015. pp. 3-10.
type of document: Part of book/Proceedings Paper
language: English
2014

Seress Gábor, Lipovits Ágnes, Bókony Veronika, Czúni László: Quantifying the urban gradient: A practical method for broad measurements, LANDSCAPE AND URBAN PLANNING 131:
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL 
2013

Czuni L, Kiss PJ, Gal M, Lipovits A: Local feature based word spotting in handwritten archive documents, In: Szerk.: Czúni L, Szerk.: Schöffmann K, Szerk.: Szirányi T 11th International Workshop on Content-Based Multimedia Indexing. CBMI 2013. Veszprém: IEEE, 2013. pp. 179-184.
type of document: Part of book/Proceedings Paper
language: English
DOI 
2012

Czuni L, Gal M: Directional Votes of Optical Flow Projections for Independent Motion Detection, LECTURE NOTES IN COMPUTER SCIENCE 7594: pp. 329-336.
type of document: Journal paper/Konferenciaközlemény
language: English
2011

Krecsák L, Micsik T, Kiszler G, Krenács T, Szabó D, Jónás V, Császár G, Czuni L, Gurzó P, Ficsor L, Molnár B: Technical note on the validation of a semi-automated image analysis software application for estrogen and progesterone receptor detection in breast cancer, DIAGNOSTIC PATHOLOGY 6: 6 p. Paper 6.
type of document: Journal paper/Article
number of independent citations: 13
language: English
DOI 
2010

Utasi Á, Czúni L: Detection of unusual optical flow patterns by multilevel hidden Markov models, OPTICAL ENGINEERING 49: (1) 11 p. Paper 017201.
type of document: Journal paper/Article
impact factor: 0.815
language: English
DOI 
2010

Licsár Attila, Szirányi Tamás, Czúni László: Trainable blotch detection on high resolution archive films minimizing the human interaction, MACHINE VISION AND APPLICATIONS 21: (5) pp. 767-777.
type of document: Journal paper/Article
impact factor: 1.479
number of independent citations: 4
language: English
DOI 
2009

Utasi Á, Czúni L: Detecting irregular camera events in time-multiplexed videos., ELECTRONICS LETTERS 45: (18) pp. 935-937.
type of document: Journal paper/Article
impact factor: 0.970
language: English
DOI 
2004

Czúni L, Hanis A, Kovács L, Kránitz B, Licsár A, Szirányi T, Kas I, Kovács G, Manno S: A digital motion picture restoration system for film archives, SMPTE MOTION IMAGING JOURNAL 113: (5-6) pp. 170-176.
type of document: Journal paper/Article
impact factor: 0.029
number of independent citations: 4
language: English
1999

Szirányi T, Czúni L: Image compression by orthogonal decomposition using cellular neural network chips, INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS 27: (1) pp. 117-134.
type of document: Journal paper/Article
impact factor: 0.597
number of independent citations: 3
language: English
URL 
Number of independent citations to these publications:26 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
81
number of scientific publications:
92
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
1 
art/engineering creative works:
0
number of independent citations to scientific publications and creative works:
165

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 1.2318 ( 2016. XI. 26. )