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20232026
most citedMultiscale Augmented Normalizing Flows for Image Compression

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

eess.IV2026

Perceptually-Weighted Video Quality Metric for Asymmetric Encoded Sports Videos

Anna Meyer, Jonas Janzen, Diwakara Reddy +5

Objective video quality metrics commonly assume uniform spatial attention, an assumption that conflicts with the selective nature of human visual perception, particularly in sports…

eess.IV2026

LRC-DHVC: Towards Local Rate Control in Neural Video Compression

Marc Windsheimer, Simon Deniffel, André Kaup

Local rate control is a key enabler to generalize image and video compression for dedicated challenges, such as video coding for machines. While traditional hybrid video coding can…

cs.CV2025

Optimized Learned Image Compression for Facial Expression Recognition

Xiumei Li, Marc Windsheimer, Misha Sadeghi +2

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 featu…

eess.IV2024

On Annotation-free Optimization of Video Coding for Machines

Marc Windsheimer, Fabian Brand, André Kaup

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 p…

eess.IV2023★ 1 cited

Multiscale Augmented Normalizing Flows for Image Compression

Marc Windsheimer, Fabian Brand, André Kaup

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…