Fachgebiet Neuro-Informationstechnik

Laslo Dinges

Wiss. Mitarbeiter/-in

Dr.-Ing. Laslo Dinges

Fachgebiet Neuro-Informationstechnik
Postdoc
Gebäude 09, Universitätsplatz 2, 39106, Magdeburg, G09-425
Overview

Research Focus

  • Pattern Recognition
  • Segmentation based and holistic handwriting recognition
  • Statistical model based synthetesis of handwriting samples
  • Document analysis
  • Optical 3D Surface Inspection 
  • Realtime analysis of facial expressions (in the context of human-robot interaction)

Projects

 

Supervision of Bachelor/Master Theses

  • "Fast and Precise Binary Instance Segmentation of 2D Objects for Automotive Applications", Master Thesis at OvGU Magdeburg (practical part at CMORE AUTOMOTIVE GMBH), 2019

Lectures

Publications

Journals

 

Conference papers

  • Fiedler, M.-A.; Dinges, L.; Rapczyʼnski, M. & Al-Hamadi, A. "LSTM-based Heart Rate Estimation from Facial Video Images", 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024, 1-5
  • Al-Radhi, H.; Fiedler, M.-A.; Al-Hamadi, A. & Dinges, L., "An Intelligent Approach for Continuous Pain Intensity Prediction", 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024, 1-5
  • Abdelrahman, A. A.; Hempel, T.; Khalifa, A.; Al-Hamadi, A. & Dinges, L. "L2cs-net: Fine-grained gaze estimation in unconstrained environments"
    2023 8th International Conference on Frontiers of Signal Processing (ICFSP), 2023, 98-102

  • Dinges, L.; Fiedler, M.-A.; Al-Hamadi, A.; Abdelrahman, A.; Weimann, J. & Bershadskyy, "Uncovering Lies: Deception Detection in a Rolling-Dice Experiment", Image Analysis and Processing -- ICIAP 2023, Springer Nature Switzerland, 2023, 293-303 
  • Hempel, T.; Dinges, L. & Al-Hamadi, A. Sentiment-based Engagement Strategies for intuitive Human-Robot Interaction  arXiv preprint arXiv:2301.03867,  VISIGRAPP (4: VISAPP), 2023 
  • Ravindra, G.; D.; Dinges; L.; Al-Hamadi; A.; Baranau & V. "Fast and Precise Binary Instance Segmentation of 2D Objects for Automotive Applications" Computer Science Research Notes, Union Agency, Science Press, 3201, 302-305, 2022

  • Hempel, T.; Fiedler, M.-A.; Khalifa, A.; Al-Hamadi, A. & Dinges, L"Semantic-Aware Environment Perception for Mobile Human-Robot Interaction" 2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA), 2021
  • Dinges, L.; Al-Hamadi, A.; Hempel, T. & Al Aghbari, Z. Using Facial Action Recognition to Evaluate User Perception in Aggravated HRC Scenarios 2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA), 2021, 195-199
  • Handrich, S.;  Dinges, L.;  Al-Hamadi, A.;  Werner, P. & Z. A. Aghbari, “Simultaneous Prediction of Valence/Arousal and Emotions on AffectNet, Aff-Wild and AFEW-VA,” in The 11th International Conference on Ambient Systems, Networks and Technologies (ANT 2020) / The 3rd International Conference on Emerging Data and Industry 4.0 (EDI40 2020) / Affiliated Workshops, April 6-9, 2020, Warsaw, Poland , 2020, vol. 170, pp. 634–641.
  • Saxen, F.;  Werner, P;  Handrich, S; Othman, E.;  Dinges, L. and Al-Hamadi, A; “Face Attribute Detection with MobileNetV2 and NasNet-Mobile,” 2019, pp. 176–180.
  • Handrich, S.;  Dinges, L.;  Saxen, F. & Al-Hamadi, A, Simultaneous Prediction of Valence / Arousal and Emotion Categories in Real-time,” in IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2019.
  • Dinges, L.; Al-Hamadi, A.; Elzobi, M. & and A. Nürnberger, Automatic Recognition of Common Arabic Handwritten Words based on OCR and N-grams, in International Conference on Image Processing, ICIP 2017, Beijing, China, September 17-20, pp. 3625–3629, 2017
  • Dinges, L.; Al-Hamadi, A.; Elzobi, M. & El-etriby, S. Synthetic based Validation of Segmentation of Handwritten Arabic Words, Manuscript Cultures, 2015, 1, 10-18
  • Dinges, L.; Al-Hamadi, A. & Elzobi, M. A Locale Group Based Line Segmentation Approach for Non Uniform Skewed and Curved Arabic Handwritings International Conference on Document Analysis and Recognition (ICDAR), 2013, 803-806
  • Dinges, L.; Al-Hamadi, A. & Elzobi, M. An Approach for Arabic Handwriting Synthesis based on Active Shape Models International Conference on Document Analysis and Recognition (ICDAR), 2013, 1292-1296
  • Dinges, L.; Al-Hamadi, A. & Elzobi, M. An Active Shape Model based approach for Arabic Handwritten Character Recognition The 11th International Conference on Signal Processing ( ICSP'2012), 2012, 1194-1198
  • Dinges, L.; Elzobi, M.; Al-Hamadi, A. & Al-Aghbari, Z. Synthizing Handwritten Arabic Text Using Active Shape Models Image Processing and Communications Challenges 3, Springer, 2011, 102, 401-408
  • Elzobi, M.; Al-Hamadi, A. & Dinges, L. A Hidden Markov Model-based Approach with an Adaptive Threshold Model for Off-line Arabic Handwriting Recognition International Conference on Document Analysis and Recognition (ICDAR), 2013, 945-949
  • Elzobi, M.; Al-Hamadi, A.;  Dinges, L & Michaelis., B. A structural feature based segmentation for off-line handwritten Arabic text 5th International Symposium on Image/Video Communication over Fixed and Mobile Networks, ISIVC 2010 . - IEEE, 2010, 1-4

 

Letzte Änderung: 21.08.2024 - Ansprechpartner: Webmaster