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Kede Ma*

2 accepted papers

2024

A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment

ECCV 2024poster

"While Multimodal Large Language Models (MLLMs) have experienced significant advancement in visual understanding and reasoning, their potential to serve as powerful, flexible, interpretable, and text-driven models for Image Quality Assessment (IQA) remains largely unexplored. In this paper, we condu…

2024

Learned HDR Image Compression for Perceptually Optimal Storage and Display

ECCV 2024poster

"High dynamic range (HDR) capture and display have seen significant growth in popularity driven by the advancements in technology and increasing consumer demand for superior image quality. As a result, HDR image compression is crucial to fully realize the benefits of HDR imaging without suffering fr…