Brand, Fabian
Fabian Brand, M. Sc.
Forschung
Ich beschäftige mich hauptsächlich mit dem Einsatz von Deep-Learning Techniken bei der Video-Codierung. Dazu gehören Verfahren, die rein auf neuronalen Netzen basieren, aber auch solche, die klassische Bild und Video Coder an geeigneten Stellen mit neuronalen Netzen erweitern. Weitere Informationen gibt es auf der folgenden Seite:
https://www.lms.tf.fau.de/forschung/arbeitsgebiete/videosignalverarbeitung-und-uebertragung/videokommunikation-2-0/#collapse_0
Angebotene Abschlussarbeiten
Ich biete jederzeit Abschlussarbeiten im Gebiet Deep Learning in Video Coding an.
Auszeichnungen
- , , , , : Top Viewed Q&A Paper Award (1st place) (IEEE International Conference on Image Processing) – 2020
- , , : Best Paper Award (Picture Coding Symposium, Ningbo, China) – 2019
Lehrveranstaltungen
Keine passenden Datensätze gefunden.
Publikationen
2023
Frequency-Domain Analysis of Traces for the Detection of AI-based Compression
International Workshop on Biometrics and Forensics 2023 (Barcelona, 19. April 2023 - 20. April 2023)
In: IEEE (Hrsg.): 2023 International Workshop on Biometrics and Forensics (IWBF) 2023
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2023-Bergmann-IWBF.pdf
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2022
Learning True Rate-Distortion-Optimization for End-To-End Image Compression
Data Compression Conference (DCC) (Snowbird, UT)
In: DCC 2022: 2022 DATA COMPRESSION CONFERENCE (DCC), NEW YORK: 2022
DOI: 10.1109/DCC52660.2022.00054
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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. Juni 2022 - 20. Juni 2022)
In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2022
DOI: 10.1109/CVPRW56347.2022.00186
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RDONet: Rate-Distortion Optimized Learned Image Compression With Variable Depth
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (New Orleans, 19. Juni 2022 - 23. Juni 2022)
DOI: 10.1109/CVPRW56347.2022.00186
URL: https://ieeexplore.ieee.org/document/9857403
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A LOW-PARAMETRIC MODEL FOR BIT-RATE ESTIMATION OF VVC RESIDUAL CODING
47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 (Online, 23. Mai 2022 - 27. Mai 2022)
In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2022
DOI: 10.1109/ICASSP43922.2022.9747694
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On Benefits and Challenges of Conditional Interframe Video Coding in Light of Information Theory
Picture Coding Symposium (PCS) (San Jose, CA)
In: 2022 PICTURE CODING SYMPOSIUM (PCS), NEW YORK: 2022
DOI: 10.1109/PCS56426.2022.10018080
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Learning Frequency-Specific Quantization Scaling in VVC for Standard-Compliant Task-Driven Image Coding
IEEE International Conference on Image Processing (ICIP) (Bordeaux, 16. Oktober 2022 - 19. Oktober 2022)
DOI: 10.1109/ICIP46576.2022.9897987
URL: https://arxiv.org/abs/2301.08533
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Boosting Neural Image Compression for Machines Using Latent Space Masking
In: IEEE Transactions on Circuits and Systems For Video Technology (2022)
ISSN: 1051-8215
DOI: 10.1109/TCSVT.2022.3195322
URL: https://arxiv.org/abs/2112.08168
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Domain Adaptation for Unknown Image Distortions in Instance Segmentation
IEEE International Conference on Image Processing (ICIP) (Bordeaux, 16. Oktober 2022 - 19. Oktober 2022)
DOI: 10.1109/ICIP46576.2022.9897339
URL: https://arxiv.org/abs/2210.02386
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2021
Rate-Distortion Optimized Learning-Based Image Compression using an Adaptive Hierachical Autoencoder with Conditional Hyperprior
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Virtual, 19. Juni 2021 - 25. Juni 2021)
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Intra To Inter: Towards Intra Prediction for Learning-Based Video Coders Using Optical Flow
2021 IEEE International Conference on Image Processing (ICIP) (Anchorage, AK, USA, 19. September 2021 - 22. September 2021)
In: Proc. 2021 IEEE International Conference on Image Processing (ICIP) 2021
DOI: 10.1109/ICIP42928.2021.9506274
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Switchable Motion Models for Non-Block-Based Inter Prediction in Learning-Based Video Coding
Picture Coding Symposium (PCS) (Bristol (Virtual), 29. Juni 2021 - 2. Juli 2021)
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A Novel End-To-End Network for Reconstruction of Non-Regularly Sampled Image Data Using Locally Fully Connected Layers
23rd International Workshop on Multimedia Signal Processing (MMSP) (Tampere, Finland, 6. Oktober 2021 - 8. Oktober 2021)
DOI: 10.1109/MMSP53017.2021.9733541
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2020
A Triangulation-Based Backward Adaptive Motion Field Subsampling Scheme
IEEE 22nd Workshop on Multimedia Signal Processing (MMSP) (Tampere (Virtual Conference), 21. September 2020 - 24. September 2020)
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Intra-Frame Coding Using a Conditional Autoencoder
In: IEEE Journal of Selected Topics in Signal Processing (2020), S. 1-1
ISSN: 1932-4553
DOI: 10.1109/JSTSP.2020.3034768
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Introducing Latent Space Correlation to Conditional Autoencoders for Intra Prediction
2020 IEEE International Conference on Visual Communications and Image Processing (VCIP) (Macau (Virtual Conference), 1. Dezember 2020 - 4. August 2020)
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Video Coding for Machines with Feature-Based Rate-Distortion Optimization
IEEE International Workshop on Multimedia Signal Processing (MMSP) (Tampere (Virtual Conference), 21. September 2020 - 24. September 2020)
DOI: 10.1109/MMSP48831.2020.9287136
URL: https://arxiv.org/abs/2203.05890
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Enhanced Image Reconstruction From Quarter Sampling Measurements Using an Adapted Very Deep Super Resolution Network
IEEE International Conference on Image Processing (ICIP) (Abu Dhabi (Virtual Conference), 25. Oktober 2020 - 28. Oktober 2020)
DOI: 10.1109/icip40778.2020.9191047
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2019
Intra Frame Prediction for Video Coding Using a Conditional Autoencoder Approach
Picture Coding Symposium (PCS) (Ningbo, 12. November 2019 - 15. November 2019)
DOI: 10.1109/PCS48520.2019.8954546
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Mid-Level Chord Transition Features for Musical Style Analysis
In: Proceedings of the {IEEE} International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK: 2019
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2017
Motion Compensated Frame Rate Up-Conversion Using 3D Frequency Selective Extrapolation and a Multi-Layer Consistency Check
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (New Orleans, LA, 5. März 2017 - 9. März 2017)
DOI: 10.1109/ICASSP.2017.7952397
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