BSc Computer Engineering
Budapest Univ. of Tech. and Eco., Hungary
MSc Computer Science
RWTH Aachen University, Germany
PhD Computer Science
RWTH Aachen University, Germany
For long, I have been fascinated by humanity's efforts to understand the mind both from an abstract point of view, and to create intelligent systems through real-life engineering practice (and especially where these two aspects meet).
But foremost, I enjoy building things and understanding why they do or do not work. In my PhD research, I've been focusing on the detailed visual analysis of humans by machines, especially to allow robots and other intelligent systems to better
collaborate and interact with people. This research has been partially funded by a scholarship grant from the Bosch Research Foundation.
Before joining as a PhD student at RWTH, I worked in the same group as a master student and wrote my thesis on crowd counting from images and video.
Before that, I designed and analyzed medical image processing algorithms at the Medical Informatics Department of Uniklinik Aachen and published papers on eye redness measurement and wound imaging.
During my German-language bachelor's at the Budapest University of Technology and Economics in Hungary, I specialized in Autonomous and Intelligent Systems.
I wrote my bachelor thesis at Hungary's National Institute for Strategic Health Research on machine learning approaches for diagnosis classification.
In an exchange semester and an internship at the Karlsruhe Institute of Technology (KIT), I focused on robotics, data mining and image processing.
MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose Estimation
IEEE Trans Biometrics, Behavior, and Identity Science (T-BIOM), Selected Best Works From Automated Face and Gesture Recognition (FG) 2020.
Reposing Humans by Warping 3D Features
Workshop on Human-Centric Image/Video Synthesis, Conference on Computer Vision and Pattern Recognition (CVPRW), 2020.
Metric-Scale Truncation-Robust Heatmaps for 3D Human Pose Estimation
IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2020. (Oral)
Visual Person Understanding through Multi-Task and Multi-Dataset Learning
German Conference on Pattern Recognition (GCPR), 2019. (Dortmund, Germany)
Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose Estimation
Extended abstract at the ECCV PoseTrack Workshop (ECCVW), 2018. (Munich, Germany)
How Robust is 3D Human Pose Estimation to Occlusion?
Workshop on Robotic Co-Workers 4.0 at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROSW), 2018. (Madrid, Spain)
Non-Computer Vision Publications and Abstracts
Quantitative Conjunctival Provocation Test for Controlled Clinical Trials
Methods of Information in Medicine, 2014;53(4):238-44
Zuordnung von Nationalem Kompetenzbasiertem Lernzielkatalog und fakultätsspezifischen Lernzielkatalogen durch automatische Textverarbeitung
Conference of the German Association for Medical Education (GMA), 2014.
Towards Quantitative Assessment of Calciphylaxis
SPIE Medical Imaging 2014: Computer-Aided Diagnosis (Vol. 9035, p. 90353C), 2014.
Automatic Conjunctival Provocation Test Combining Hough Circle Transform and Self-Calibrated Color Measurements
SPIE Medical Imaging 2013: Computer-Aided Diagnosis (Vol. 8670, p. 86702J), 2013.
Quantitative Conjunctival Provocation Test
Conference of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), 2013. (Lübeck, Germany)
Theses and Term Papers
Pedestrian Line Counting by Probabilistic Combination of Flow and Appearance Information
RWTH Aachen University, Germany, 2015.
Feature Mining for Localized Crowd Counting
Seminar Current Topics in Computer Vision and Machine Learning, RWTH Aachen University, 2014.
Subspace Clustering of High Dimensional and Streaming Data
Seminar Multimedia Retrieval and Data Mining, RWTH Aachen University, 2013.
Computing Semantic Similarity Between Medical Learning Objectives Across Catalogues
Institute of Medical Informatics, RWTH Aachen University, 2016.
System Development to Support Medical Coding
(HU: Egészségügyi Kódolástámogató Rendszer Fejlesztése)
Budapest University of Technology and Economics, Hungary, 2011.
- Winter 2020
- Summer 2020
- Winter 2019/20
- Summer 2019
- Summer 2018
- Winter 2017/18