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cs.CV2026
Multiple Scale Latents for Learned Image Compression
Jonas Brenig, Radu Timofte
Most learned image compression systems rely on a single latent representation combined with a hyperprior, which limits their ability to efficiently capture image structure across s…
cs.CV2026
Mixture-of-Experts-based Entropy Model for Learned Image Compression
Jonas Brenig, Radu Timofte
Learned image compression has seen significant progress in recent years with the development of end-to-end learned models that achieve better compression efficiency than state-of-t…
cs.CV2023★ 1 cited
A Study of Forward-Forward Algorithm for Self-Supervised Learning
Jonas Brenig, Radu Timofte
Self-supervised representation learning has seen remarkable progress in the last few years, with some of the recent methods being able to learn useful image representations without…