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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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.
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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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Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks
Linse, C., Barth, E. & Martinetz, T., 2024, 2024 International Joint Conference on Neural Networks (IJCNN). IEEEResearch output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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Novel Design Ideas that Improve Video-Understanding Networks with Transformers
Hu, Y. & Barth, E., 2024, 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, p. 1-7Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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Patient pose assessment in radiography using time-of-flight cameras
Laufer, M., Mairhöfer, D., Sieren, M., Gerdes, H., dos Reis, F. L., Bischof, A., Käster, T., Barth, E., Barkhausen, J. & Martinetz, T., 02.04.2024, Proceedings: Medical Imaging 2024: Image Processing. SPIE, Vol. 12926.Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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Video Understanding Using 2D-CNNs on Salient Spatio-Temporal Slices
Hu, Y. & Barth, E., 17.09.2024, Lecture Notes in Computer Science: Artificial Neural Networks and Machine Learning – ICANN 2024. Springer, Cham, Vol. 15018. p. 256-270Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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Connections Between Pairs of Filters Improve the Accuracy of Convolutional Neural Networks
Anderson, K., Grüning, P. & Barth, E., 18.06.2023, Proceedings of the International Joint Conference on Neural Networks (IJCNN). IEEE, p. 1-7 7 p. (Proceedings of the International Joint Conference on Neural Networks; vol. 2023-June).Research output: Chapters in Books/Reports/Conference Proceedings › Chapter › 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