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
Fingerprint
Dive into the research topics where Erhardt Barth is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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
-
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
-
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
-
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
-
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
-
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
-
Learning Efficient Sensing for Active Vision (Esensing)
01.10.11 → 30.09.16
Project: DFG Funding › DFG: Joint Research
-
Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns
Barth, E., Garbers, C., Mester, R., Scharr, H., Aach, T. & Jähne, B.
01.01.01 → 31.12.08
Project: DFG Funding
Prizes
-
Thomas Fredenhagen Award 2018
Martinetz, Thomas (Recipient) & Barth, Erhardt (Recipient), 19.04.2018
Prize: Awards of the University of Luebeck