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Personal data sheet
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personal data approved: 2024. I. 05.
Personal data
Márton Szemenyei
name Márton Szemenyei
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
phone number +36 1 463-4025
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2021
discipline to which degree belongs computer sciences
institution granting the degree Budapest University of Technology and Economics
Employment
2019 - Budapest University of Technology and Economics
egyetemi kutató
Thesis topic supervisor
number of doctoral students supervised until now 3
number of students who fulfilled course requirements 0
students who obtained their degrees:
present PhD students:
Blanka Bencsik (PhD) (2027/08)  DSI-BME
Tung Hai Luu (PhD) (2027/08)  DSI-BME
György Richárd Bogár (PhD) (2027/01)  DSI-BME
  Thesis topic proposals
Research
research area Computer Vision, Image Processing, Artificial Intelligence, Deep Learning, Machine Learning, Reinforcement Learning
research field in which current research is conducted computer sciences
electrical engineering
Publications
2022

 Szemenyei Márton, Estivill-Castro Vladimir: Fully neural object detection solutions for robot soccer, NEURAL COMPUTING & APPLICATIONS 34: (24) pp. 21419-21432.
type of document: Journal paper/Article
number of independent citations: 4
language: English
URL 
2022

 Szemenyei Márton, Reizinger Patrik: Handling Realistic Noise in Multi-Agent Systems with Self-Supervised Learning and Curiosity, JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH 12: (2) pp. 135-148.
type of document: Journal paper/Article
language: English
URL 
2021

 Guo Changlu, Szemenyei Marton, Yi Yugen, Wang Wenle, Chen Buer, Fan Changqi: SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation, In: IEEE (szerk.) 2020 25th International Conference on Pattern Recognition (ICPR), IEEE (2021) pp. 1236-1242.
type of document: Part of book/Proceedings Paper
number of independent citations: 123
language: English
URL 
2021

 Guo Changlu, Szemenyei Marton, Hu Yangtao, Wang Wenle, Zhou Wei, Yi Yugen: Channel Attention Residual U-Net for Retinal Vessel Segmentation, In: IEEE, , (szerk.) 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), IEEE (2021) pp. 1185-1189.
type of document: Part of book/Proceedings Paper
number of independent citations: 24
language: English
URL 
2020

 Reizinger Patrik, Szemenyei Marton: Attention-Based Curiosity-Driven Exploration in Deep Reinforcement Learning, In: Pau, Closas; Mónica, Bugallo (szerk.) 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE (2020) pp. 3542-3546.
type of document: Part of book/Proceedings Paper
number of independent citations: 8
language: English
URL 
2020

 Guo Changlu, Szemenyei Márton, Yi Yugen, Zhou Wei, Bian Haodong: Residual Spatial Attention Network for Retinal Vessel Segmentation, In: King, Irwin; Chan, Jonathan H.; Kwok, James T.; Leung, Andrew Chi-Sing; Pasupa, Kitsuchart; Yang, Haiqin (szerk.) Neural Information Processing, Springer International Publishing (2020) pp. 509-519.
type of document: Part of book/Proceedings Paper
number of independent citations: 18
language: English
URL 
2019

 Guo Changlu, Szemenyei Márton, Pei Yang, Yi Yugen, Zhou Wei: SD-Unet: A Structured Dropout U-Net for Retinal Vessel Segmentation, In: IEEE, (szerk.) (szerk.) 2019 IEEE 19TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE), IEEE (2019) pp. 439-444.
type of document: Part of book/Proceedings Paper
number of independent citations: 40
language: English
URL 
2019

 Szemenyei Márton, Estivill-Castro Vladimir: Real-Time Scene Understanding Using Deep Neural Networks for RoboCup SPL, In: Holz, Dirk; Genter, Katie; Saad, Maarouf; von Stryk, Oskar (szerk.) RoboCup 2018: Robot World Cup XXII, Springer International Publishing (2019) pp. 96-108.
type of document: Part of book/Proceedings Paper
number of independent citations: 9
language: English
URL 
2019

 Szemenyei Márton, Estivill-Castro Vladimir: ROBO: Robust, Fully Neural Object Detection for Robot Soccer, In: Chalup, Stephan; Niemueller, Tim; Suthakorn, Jackrit; Williams, Mary-Anne (szerk.) RoboCup 2019: Robot World Cup XXIII, Springer International Publishing (2019) pp. 309-322.
type of document: Part of book/Proceedings Paper
number of independent citations: 9
language: English
URL 
2017

 Szemenyei Márton, Vajda Ferenc: Dimension Reduction for Objects Composed of Vector Sets, INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE 27: (1) pp. 169-180.
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL 
Number of independent citations to these publications:240 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
61
number of scientific publications:
61
monographs and professional books:
2
monographs/books in which chapters/sections were contributed:
2 
number of independent citations to scientific publications and creative works:
493
Supervision
thesis supervisor Ferenc Vajda
one supervisor or with co-supervisor individual
degree PhD
starting of doctoral studies 2014
date of final certificate (year,month) 2018/08


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
 
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. )