AI-based video compression for emerging technologies

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Opensource license for our AIbased streaming container

Deep Render and TU Wien to attend CVPR Conference (or similar) in 2021 and 2022, present in both years.

Publications

Impact of Learned Domain Specific Compression on Satellite Image Object Classification

Auteurs: Alexander Bayerl, Manuel Keglevic, Matthias Woedlinger, Robert Sablatnig
Publié dans: Proceedings of the 26th Computer Vision Winter Workshop (CVWW 2023), Numéro 26th, 2023
Éditeur: CEUR Workshop Proceedings

Learned Lossy Image Compression for Volumetric Medical Data

Auteurs: Jan Kotera, Matthias Woedlinger, Manuel Keglevic
Publié dans: Proceedings of the 26th Computer Vision Winter Workshop (CVWW 2023), Numéro 26th, 2023
Éditeur: CEUR Workshop Proceedings

Conditional Image Generation with Score-Based Diffusion Models

Auteurs: Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
Publié dans: 2021
Éditeur: arXiv (for now, under conference submission)
DOI: 10.48550/arxiv.2111.13606

Perceptually-Guided Lossy Image Compression

Auteurs: Alexander Lytchier, Jan Xu, Christopher Finlay, Ciro Cursio, Vira Koshkina, Christian Besenbruch, Arsalan Zafar
Publié dans: 4th Challenge on Learned Image Compression, 2021, 2021
Éditeur: CVPR - CLIC 2021

SASIC: Stereo Image Compression With Latent Shifts and Stereo Attention

Auteurs: Wödlinger, Matthias and Kotera, Jan and Xu, Jan and Sablatnig, Robert
Publié dans: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Numéro 2022, 2022, Page(s) 661--670
Éditeur: IEEE

Three Gaps for Quantisation in Learned Image Compression

Auteurs: Shi Pan, Christopher Finlay, Christian Besenbruch, William Knottenbelt
Publié dans: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021., 2021, Page(s) 720-726
Éditeur: CVF - Computer Vision Foundation

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