Research Output per year
Research Output per year
Personal profile
Scientific Focus
| Machine vision: | 3D sensing and gesture-based interaction, see gestigon and ARTTSMachine learning and efficient codingAttention monitoring and gaze guidance, see GazeCom |
| Human vision: | Eye movements and gaze guidance, see GazeCom Mathematical models of of visual function, efficient coding |
| Computational Photography: | Image deblurring and restauration, image fusionLight fields and alternative opticsImage and video quality |
Research Areas and Centers
- Centers: Center for Artificial Intelligence Luebeck (ZKIL)
- Research Area: Intelligent Systems
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Automated assessment of immunofixations with deep neural networks
Thiemann, C., Klitzke, B., Martinetz, P., Grüning, P., Käster, T., Barth, E., Kramer, J. & Martinetz, T., 01.10.2022, In: Journal of Laboratory Medicine. 46, 5, p. 331-336 6 p.Research output: Journal Articles › Journal articles › Research › peer-review
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FP-nets as novel deep networks inspired by vision
Grüning, P., Martinetz, T. & Barth, E., 04.01.2022, In: Journal of Vision. 22, 1, p. 8 20 p.Research output: Journal Articles › Journal articles › Research › peer-review
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TEVR: Improving Speech Recognition by Token Entropy Variance Reduction
Krabbenhöft, H. N. & Barth, E., 25.06.2022, arXiv.org 10 p.Research output: Contribution to specialist publication › Article
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An AI-based Framework for Diagnostic Quality Assessment of Ankle Radiographs
Mairhöfer, D., Laufer, M., Simon, P. M., Sieren, M., Bischof, A., Käster, T., Barth, E., Barkhausen, J. & Martinetz, T., 01.07.2021, Proceedings of the Fourth Conference on Medical Imaging with Deep Learning. Heinrich, M., Dou, Q., de Bruijne, M., Lellmann, J., Schläfer, A. & Ernst, F. (eds.). PMLR, Vol. 143. p. 484-496 13 p. (Proceedings of Machine Learning Research).Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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Bio-inspired Min-Nets Improve the Performance and Robustness of Deep Networks
Grüning, P. & Barth, E., 2021, SVRHM 2021 Workshop NeurIPS.Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
Projects
- 2 Finished
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SPP 1527, Subproject: Learning Efficient Sensing for Active Vision (Esensing)
Martinetz, T. (Speaker, Coordinator) & Barth, E. (Project Staff)
01.10.11 → 30.09.16
Project: DFG Projects › DFG Joint Research: Priority Programs
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SPP 1114, Subproject: Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns
Barth, E. (Principal Investigator (PI)), Garbers, C. (Principal Investigator (PI)), Mester, R. (Principal Investigator (PI)), Scharr, H. (Principal Investigator (PI)), Aach, T. (Associated Staff) & Jähne, B. (Associated Staff)
01.01.01 → 31.12.08
Project: DFG Projects › DFG Joint Research: Priority Programs
Prizes
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Thomas Fredenhagen Award 2018
Martinetz, T. (Award Recipient) & Barth, E. (Award Recipient), 19.04.2018
Prize: Awards of the University of Luebeck