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personal data approved: 2020. IX. 13.
Personal data
Zoltán Kató
name Zoltán Kató
name of institution
doctoral school
PE Doctoral School of Information Science and Technology (Supervisor)
(discipline) Habilitation Comittee and Doctoral Council (external member)
Council of the Doctoral School (external member)
SzTE Doctoral School of Mathematics and Computer Science (Announcer of research topic)
SzTE Doctoral School of Computer Science (Core member)
(discipline) Habilitation Comittee
Council of the Doctoral School
the share of work in the different doctoral schools. PE Doctoral School of Information Science and Technology 19%
SzTE Doctoral School of Mathematics and Computer Science 19%
SzTE Doctoral School of Computer Science 60%
SzTE IDI2-SzTE (discipline) Habilitation Comittee 1%
SzTE IDI2-SzTE Council of the Doctoral School 1%
accreditation statement submitted to: University of Szeged
HAC accreditation
full compliance
(2018. VII. 20.)
Contact details
E-mail address katoinf.u-szeged.hu
phone number +36 62 546-399
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 1994
discipline to which degree belongs computer sciences
institution granting the degree University of Nice, France
scientific degree, title Habilitation
year degree was obtained 2009
discipline to which degree belongs computer sciences
institution granting the degree University of Szeged
scientific degree, title DSc
year degree was obtained 2014
discipline to which degree belongs computer sciences
institution granting the degree HAS
Employment
2002 - University of Szeged
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 5
number of students who fulfilled course requirements 3
students who obtained their degrees:
(50%) Csaba Molnár PhD 2020  IDI2-SzTE
Róbert Fröhlich PhD 2019  IDI2-SzTE
Zsolt Sánta PhD 2018  IDI2-SzTE
(50%) József Németh PhD 2016  IDI2-SzTE
Csaba Domokos PhD 2011  IDI2-SzTE
(50%) Péter Horváth PhD 2008  DSMath

completed course requirement:
(50%) Attila Illés (PhD) 2015/08  IDI2-SzTE
(50%) Gábor Kátai-Urbán (PhD) 2014/08  IDI2-SzTE
Hichem Abdellali (PhD) 2020/08  IDI2-SzTE
present PhD students:
(50%) Karim Ben Alaya (PhD) (2021/08)  DSIST-PE
  Thesis topic proposals
Research
research area Computer vision, image processing, remote sensing, biomedical image analzsis, mobile image processing
research field in which current research is conducted computer sciences
mathematics and computing
Publications
2019

Frohlich Robert, Tamas Levente, Kato Zoltan: Absolute Pose Estimation of Central Cameras Using Planar Regions, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2019: 10.1109/TPAMI.2019.2931577
type of document: Journal paper/Article
language: English
URL 
2019

Abdellali Hichem, Frohlich Robert, Kato Zoltan: Robust Absolute and Relative Pose Estimation of a Central Camera System from 2D-3D Line Correspondences, In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), (2019) pp. 895-904.
type of document: Part of book/Proceedings Paper
language: English
URL 
2018

Santa Zsolt, Kato Zoltan: Elastic Alignment of Triangular Surface Meshes, INTERNATIONAL JOURNAL OF COMPUTER VISION 126: (11) pp. 1220-1244.
type of document: Journal paper/Article
language: English
URL 
2017

Horanyi Nora, Kato Zoltan: Generalized Pose Estimation from Line Correspondences with Known Vertical Direction, In: 2017 International Conference on 3D Vision (3DV), (2017) pp. 244-253.
type of document: Part of book/Proceedings Paper
language: English
URL 
2016

Csaba Domokos, Zoltan Kato: Realigning 2D and 3D Object Fragments without Correspondences, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 38: (1) pp. 195-202.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2012

Csaba Domokos, Jozsef Nemeth, Zoltan Kato: Nonlinear Shape Registration without Correspondences, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 34: (5) pp. 943-958.
type of document: Journal paper/Article
number of independent citations: 5
language: English
Full text 
2012

Zoltan Kato, Josiane Zerubia : Markov random fields in image segmentation, Hanover (NH): Now Publishers, 155 p. (Foundations and Trends in Signal Processing; Vol. 5: No 1-2.)
type of document: Book/Monography
number of independent citations: 5
language: English
DOI 
2008

Kato Z: Segmentation of color images via reversible jump MCMC sampling, IMAGE AND VISION COMPUTING 26: (3) pp. 361-371.
type of document: Journal paper/Article
number of independent citations: 28
language: English
DOI 
2006

Kato Z, Pong TC: A Markov random field image segmentation model for color textured images, IMAGE AND VISION COMPUTING 24: (10) pp. 1103-1114.
type of document: Journal paper/Article
number of independent citations: 101
language: English
DOI 
1999

Kato Z, Zerubia J, Berthod M: Unsupervised parallel image classification using Markovian models, PATTERN RECOGNITION 32: (4) pp. 591-604.
type of document: Journal paper/Article
number of independent citations: 46
language: English
DOI 
Number of independent citations to these publications:188 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
134
number of scientific publications:
135
monographs and professional books:
1
monographs/books in which chapters/sections were contributed:
2 
scientific publications published abroad that meet the accreditation criteria:
91
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
9
number of independent citations to scientific publications and creative works:
759
further relevant information regarding accreditation (in Hungarian)
National Excellence Prize (2015) IEEE Senior Member (2007); NJSZT KEPAF President (2011-2015) Voting Member of the HAS Information Sciences Committee (2011-2020) IAPR Governing Board - representative of Hungary (2011-2015)

 
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. )