Kristian Fischer

Orcid: 0000-0002-0024-3171

Affiliations:
  • University of Erlangen-Nuremberg, FAU Erlangen-Nürnberg, Multimedia Communications and Signal Processing, Germany (PhD 2023)


According to our database1, Kristian Fischer authored at least 17 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2024
The Bjøntegaard Bible Why Your Way of Comparing Video Codecs May Be Wrong.
IEEE Trans. Image Process., 2024

2023
Image and Video Coding for Machines.
PhD thesis, 2023

Spatially-Adaptive Learning-Based Image Compression with Hierarchical Multi-Scale Latent Spaces.
Proceedings of the IEEE International Conference on Image Processing, 2023

Saliency-Driven Hierarchical Learned Image Coding for Machines.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Learning Frequency-Specific Quantization Scaling in VVC for Standard-Compliant Task-Driven Image Coding.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Evaluation of Video Coding for Machines without Ground Truth.
Proceedings of the IEEE International Conference on Acoustics, 2022

Learning True Rate-Distortion-Optimization for End-To-End Image Compression.
Proceedings of the Data Compression Conference, 2022

RDONet: Rate-Distortion Optimized Learned Image Compression with Variable Depth.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Robust Deep Neural Object Detection and Segmentation for Automotive Driving Scenario with Compressed Image Data.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Analysis Of Neural Image Compression Networks For Machine-To-Machine Communication.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Saliency-Driven Versatile Video Coding for Neural Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2021

Rate-Distortion Optimized Learning-Based Image Compression Using an Adaptive Hierachical Autoencoder With Conditional Hyperprior.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
On Versatile Video Coding at UHD with Machine-Learning-Based Super-Resolution.
Proceedings of the Twelfth International Conference on Quality of Multimedia Experience, 2020

Decoding-Energy Optimal Video Encoding For x265.
Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

Video Coding for Machines with Feature-Based Rate-Distortion Optimization.
Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

Enhanced Image Reconstruction From Quarter Sampling Measurements Using An Adapted Very Deep Super Resolution Network.
Proceedings of the IEEE International Conference on Image Processing, 2020

On Intra Video Coding And In-Loop Filtering For Neural Object Detection Networks.
Proceedings of the IEEE International Conference on Image Processing, 2020


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