Marc Windsheimer
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View article: Optimized Learned Image Compression for Facial Expression Recognition
Optimized Learned Image Compression for Facial Expression Recognition Open
Efficient data compression is crucial for the storage and transmission of visual data. However, in facial expression recognition (FER) tasks, lossy compression often leads to feature degradation and reduced accuracy. To address these chall…
View article: On Annotation-free Optimization of Video Coding for Machines
On Annotation-free Optimization of Video Coding for Machines Open
Today, image and video data is not only viewed by humans, but also automatically analyzed by computer vision algorithms. However, current coding standards are optimized for human perception. Emerging from this, research on video coding for…
View article: Multiscale Augmented Normalizing Flows for Image Compression
Multiscale Augmented Normalizing Flows for Image Compression Open
Most learning-based image compression methods lack efficiency for high image quality due to their non-invertible design. The decoding function of the frequently applied compressive autoencoder architecture is only an approximated inverse o…