Marc Windsheimer
Marc Windsheimer, M.Sc.
Department Elektrotechnik-Elektronik-Informationstechnik (EEI)
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Cauerstr. 7
91058 Erlangen
Germany
- Phone number: +49 9131 85-27104
- Fax number: +49 9131 85-28849
- Email: marc.windsheimer@fau.de
- Website: https://www.lms.tf.fau.eu
Research
I am engaged in the development of deep learning methods for image and video coding. The main focus is on machine communication, where the decoded results are evaluated by deep neural networks, e.g. Mask R-CNN. At the same time, however, a human observer should be able to understand the decision of the evaluation network. The goal is to maintain the accuracy of the detection networks while minimizing the required data rate.
Further information can be found at the following link:
Offered Thesis
Learned Image Compression for Emotion Classification
Thesis in the area of video coding for object detection
https://www.lms.tf.fau.eu/videocodierung-fuer-neunronale-detektionsnetzwerke/
Publications
2022
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RDONet: Rate-Distortion Optimized Learned Image Compression with Variable Depth
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022 (New Orleans, LA, USA, 19. June 2022 - 20. June 2022)
In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2022
DOI: 10.1109/CVPRW56347.2022.00186
BibTeX: Download - , , , , :
RDONet: Rate-Distortion Optimized Learned Image Compression With Variable Depth
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (New Orleans, 19. June 2022 - 23. June 2022)
DOI: 10.1109/CVPRW56347.2022.00186
URL: https://ieeexplore.ieee.org/document/9857403
BibTeX: Download