2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Exploring Compressed Image Representation as a Perceptual Proxy: A Study
Chen-Hsiu Huang, Ja-Ling Wu
We propose an end-to-end learned image compression codec wherein the analysis transform is jointly trained with an object classification task. This study affirms that the compresse…
cs.CR2023★ 2 cited
Image Data Hiding in Neural Compressed Latent Representations
Chen-Hsiu Huang, Ja-Ling Wu
We propose an end-to-end learned image data hiding framework that embeds and extracts secrets in the latent representations of a generic neural compressor. By leveraging a perceptu…
cs.CV2023
CPIPS: Learning to Preserve Perceptual Distances in End-to-End Image Compression
Chen-Hsiu Huang, Ja-Ling Wu
Lossy image coding standards such as JPEG and MPEG have successfully achieved high compression rates for human consumption of multimedia data. However, with the increasing prevalen…