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Maida Cao

2 accepted papers

2025

On Disentangled Training for Nonlinear Transform in Learned Image Compression

ICLR 2025spotlight

Learned image compression (LIC) has demonstrated superior rate-distortion (R-D) performance compared to traditional codecs, but is challenged by training inefficiency that could incur more than two weeks to train a state-of-the-art model from scratch. Existing LIC methods overlook the slow convergen…

2024

Image Compression for Machine and Human Vision With Spatial-Frequency Adaptation

ECCV 2024poster

"Image compression for machine and human vision (ICMH) has gained increasing attention in recent years. Existing ICMH methods are limited by high training and storage overheads due to heavy design of task-specific networks. To address this issue, in this paper, we develop a novel lightweight adapter…