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personal data approved: 2016. I. 25.
Personal data
Ferenc Vajda
name Ferenc Vajda
year of birth 1975
name of institution
doctoral school
BME Doctoral School of Informatics (Academic staff member)
BME Doctoral School of Electrical Engineering (Supervisor)
the share of work in the different doctoral schools. BME Doctoral School of Informatics 33%
BME Doctoral School of Electrical Engineering 67%
accreditation statement submitted to: Budapest University of Technology and Economics
Contact details
E-mail address vajdaiit.bme.hu
phone number +36 1 463-2087
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2006
discipline to which degree belongs electrical engineering
institution granting the degree Budapesti Műszaki és Gazdaságtudományi Egyetem (to be translated)
Employment
1998 - Budapest University of Technology and Economics
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 4
number of students who fulfilled course requirements 3
students who obtained their degrees:
Ágoston Mihály Srp PhD 2014  DSEE

completed course requirement, without degree or degree granting in process:
András Tóth (PhD) 2011/08  DSI-BME
Tamás Helfenbein (PhD) 2011/08  DSI-BME
present PhD students:
Márton Szemenyei (PhD) (2017/08)  DSEE
  Thesis topic proposals
Research
research area Virtual and augmented reality systems, alternative user interfaces, realtime vision
research field in which current research is conducted computer sciences
electrical engineering
Publications
2016

Szemenyei Márton, Vajda Ferenc: Dimension Reduction for Structured Composite Classes in Multi-Object Environments, In: 15th International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases.Velence, Olaszország, 2016.01.29-2016.01.31. pp. 1 Kiadvány: 2016.
type of document: Conference paper/Előadás vagy poszter cikke
language: English
2015

Szemenyei Márton, Vajda Ferenc: Learning 3D Object Recognition Using Graphs Based on Primitive Shapes, In: Szerk.: B Kiss, Szerk.: L Szirmay-Kalos Proceedings of the Workshop on the Advances of Information Technology: WAIT 2015. Budapest: BME Irányítástechnika és Informatika Tanszék, 2015. pp. 126-133.
type of document: Part of book/Proceedings Paper
language: English
2014

Szemenyei Márton, Vajda Ferenc: Learning Shape Matching for Augmented Reality, In: Szerk.: Szirmay-Kalos László, Szerk.: Renner Gábor VII. Magyar Számítógépes Grafika és Geometria Konferencia. Budapest: Neumann János Számítógép-tudományi Társaság, 2014. pp. 67-71.
type of document: Part of book/Proceedings Paper
language: English
2013

Srp Ágoston Mihály, Dr Vajda Ferenc: Optical fall detection with Asynchronous Temporal-Contrast Vision Sensors for independently living older people, PERIODICA POLYTECHNICA ELECTRICAL ENGINEERING AND COMPUTER SCIENCE 57: (4) pp. 105-114.
type of document: Journal paper/Article
language: English
DOI 
2012

Martin Humenberger, Stephan Schraml, Christoph Sulzbacher, Ahmed Nabil Belbachir, Ágoston Srp, Ferenc Vajda: Embedded Fall Detection with a Neural Network and Bio-Inspired Stereo Vision, In: The Eighth IEEE Workshop on Embedded Vision.Providence, Amerikai Egyesült Államok, 2012.06.16 pp. 60-67. Kiadvány: 2012. (The Eighth IEEE Workshop on Embedded Vision)
type of document: Conference paper/Előadás vagy poszter cikke
number of independent citations: 3
language: English
Full text 
2011

Peter Skoda, Tomislav Lipic, Ágoston Srp, Branka Medved Rogina, Karolj Skala, Ferenc Vajda: Implementation Framework for Artificial Neural Networks on FPGA, In: 34th International Convention on Information and Communication Technology, Electronics and Microelectronics.Opatia, Horvátország, 2011.05.23-2011.05.27. pp. 274-278. Kiadvány: 2011. (34th International Convention on Information and Communication Technology, Electronics and Microelectronics)
type of document: Conference paper/Előadás vagy poszter cikke
number of independent citations: 3
language: English
Full text 
2011

AN Belbachir, F Vajda, T Lunden, E Schoitsch: Smart Caring Cameras for Safe and Independent Living of the Elderly: A Non-Wearable Technology and Service for Fall Detection., ERCIM NEWS 87: pp. 29-30.
type of document: Journal paper/Article
number of independent citations: 1
language: English
2010

Srp Ágoston Mihály, Vajda Ferenc: Possible techniques and issues in fall detection using asynchronous temporal-contrast sensors, ELEKTROTECHNIK UND INFORMATIONSTECHNIK 127: (7-8) pp. 223-229.
type of document: Journal paper/Article
number of independent citations: 2
language: English
Full text 
2010

Srp Ágoston Mihály, Vajda Ferenc: Possible techniques and issues in fall detection using asynchronous temporal-contrast sensors, ELEKTROTECHNIK UND INFORMATIONSTECHNIK 127: (7-8) pp. 223-229.
type of document: Journal paper/Article
number of independent citations: 1
language: English
Full text 
2003

Bálint Kiss, Charles Bostater, László Vajta, Ferenc Vajda, Miklós Vogel: Unknown object localization and identification in shallow water environment at the lake Balaton, In:Szerk.: Charles R Bostater Jr, Szerk.: Rosalia Santoler SPIE International Symposium Remote Sensing Europe.Grand Canaria, Spanyolország, 2003.09.13-2003.09.17. SPIE, pp. 176-182. Kiadvány: SPIE, 2003. (SPIE International Symposium Remote Sensing Europe)
type of document: Conference paper/Előadás vagy poszter cikke
number of independent citations: 1
language: English
URL 
Number of independent citations to these publications:11 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
42
number of scientific publications:
44
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
scientific publications published abroad that meet the accreditation criteria:
20
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
14
number of independent citations to scientific publications and creative works:
16

 
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. )