Levente Hajder - ODT Personal data sheet


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Personal data sheet

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personal data approved: 2024. III. 01.

Personal data

name	Levente Hajder
name of institution	Eötvös Loránd University, Budapest
doctoral school	ELTE Doctoral School of Informatics (Supervisor Az oktató valamelyik doktori iskolában egy vagy több doktorandusz vagy doktorjelölt munkáját irányítja. )
the share of work in the different doctoral schools.	ELTE Doctoral School of Informatics 100%

Contact details
phone number	+36 1 279-6210
	own web page

Academic title
scientific degree, title	Ph.D.
year degree was obtained	2008
discipline to which degree belongs	computer sciences
institution granting the degree	BME (to be translated)

Employment
2017 -	Eötvös Loránd University, Budapest university professor or researcher
2000 -	MTA SZTAKI (research institute, not university) other (not specified) (tudományos munkatárs)

Thesis topic supervisor

number of doctoral students supervised until now

number of students who fulfilled course requirements

students who obtained their degrees:

	Tekla Tóth	PhD	2024	IDI2-ELTE
	Dániel Baráth	PhD	2020	IDI2-ELTE
	Zoltán Pusztai	PhD	2020	IDI2-ELTE
(50%)	Ákos Pernek	PhD	2016	DSI-BME

completed course requirement:

(50%)	Csaba Kazó	(PhD)	2010/08
(50%)	László Kopácsi	(PhD)	2022/08	IDI2-ELTE

present PhD students:

Tarlan Ahadli	(PhD)	(2027/08)	IDI2-ELTE
Tamás Tófalvi	(PhD)	(2026/08)	IDI2-ELTE
Zsombor Páncsics	(PhD)	(2026/08)	IDI2-ELTE

Thesis topic proposals

Research
research area	3D Computer Vision
research field in which current research is conducted	computer sciences

Publications

2023

Tóth Tekla, Hajder Levente: A Minimal Solution for Image-Based Sphere Estimation, INTERNATIONAL JOURNAL OF COMPUTER VISION 131: (6) pp. 1428-1447.
type of document: Journal paper/Article
language: English
URL

2023

Levente Hajder, Lajos Lóczi, Daniel Barath: Fast Globally Optimal Surface Normal from an Affine Correspondence, In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV), IEEE (2023) pp. 3367-3378.
type of document: Part of book/Proceedings Paper
language: English

2020

Hajder L, Barath D: Relative planar motion for vehicle-mounted cameras from a single affine correspondence, PROCEEDINGS-IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION 2020: pp. 8651-8657.
type of document: Journal paper/Konferenciaközlemény
number of independent citations: 9
language: English
URL

2020

Tóth Tekla, Pusztai Zoltán, Hajder Levente: Automatic LiDAR-Camera Calibration of Extrinsic Parameters Using a Spherical Target, In: IEEE, . (szerk.) 2020 IEEE International Conference on Robotics and Automation (ICRA), IEEE (2020) pp. 8580-8586.
type of document: Part of book/Proceedings Paper
number of independent citations: 45
language: English

2020

Tóth Tekla, Hajder Levente: Automatic Extrinsic Calibration of LiDAR-Camera Setup Using a Spherical Target, In: Péter, Hudoba; Flóra, Hajdu (szerk.) 7th Winter School for PhD Students in Informatics and Mathematics, Association of Hungarian PhD and DLA Students (2020) p. 35.
type of document:
language: English

2019

Baráth D, Eichhardt I, Hajder L: Optimal Multi-View Surface Normal Estimation using Affine Correspondences, IEEE TRANSACTIONS ON IMAGE PROCESSING 28: (7) pp. 3301-3310.
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL

2017

Baráth D, Hajder L: A theory of point-wise homography estimation, PATTERN RECOGNITION LETTERS 94: pp. 7-14.
type of document: Journal paper/Article
number of independent citations: 18
language: English
URL

2017

Barath D, Toth T, Hajder L: A Minimal Solution for Two-view Focal-length Estimation using Two Affine Correspondences, In: IEEE (szerk.) 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, IEEE Computer Society Press (2017) pp. 2557-2565.
type of document: Part of book/Proceedings Paper
number of independent citations: 17
language: English
Full text

2017

Pusztai Z, Hajder L: Accurate Calibration of LiDAR-Camera Systems using Ordinary Boxes, In: CVF (szerk.) ICCV 2017: International Conference on Computer Vision, Computer Vision Foundation (2017) pp. 394-402.
type of document: Conference paper/Előadás vagy poszter cikke
number of independent citations: 100
language: English
Full text

2017

Eichhardt I, Hajder L: Computer Vision Meets Geometric Modeling: Multi-view Reconstruction of Surface Points and Normals using Affine Correspondences, In: CVF (szerk.) ICCV 2017: International Conference on Computer Vision, Computer Vision Foundation (2017) pp. 2427-2435.
type of document: Conference paper/Előadás vagy poszter cikke
number of independent citations: 4
language: English
Full text

Number of independent citations to these publications:

198

Scientometric data

list of publications and citations

number of scientific publications that meet accreditation criteria:

108

number of scientific publications:

106

monographs and professional books:

monographs/books in which chapters/sections were contributed:

scientific publications published abroad that meet the accreditation criteria:

publications not in Hungarian, published in Hungary, meeting the accreditation criteria:

number of independent citations to scientific publications and creative works:

383