2 citations · 2 across the 9 of their papers we have counts for
4 papers · 1 filter
Fast Test-Time Refinement for Robust Learned Image Compression
Jiaming Liang, Chi-Man Pun, Weisi Lin
Learned image compression (LIC) has demonstrated remarkable rate-distortion (RD) performance in benign settings. However, the high representational capacity endowed by deep neural…
Control Your View: High-Resolution Global Semantic Manipulation in Learned Image Compression
Jiaming Liang, Chi-Man Pun, Weisi Lin +1
Learned image compression (LIC) integrates deep neural networks (DNNs) to map high-dimensional images into compact latent representations, reducing redundancy and achieving superio…
GT-PCQA: Geometry-Texture Decoupled Point Cloud Quality Assessment with MLLM
Guohua Zhang, Jian Jin, Meiqin Liu +3
With the rapid advancement of Multi-modal Large Language Models (MLLMs), MLLM-based Image Quality Assessment (IQA) methods have shown promising generalization. However, directly ex…
Scaling Audio-Visual Quality Assessment Dataset via Crowdsourcing
Renyu Yang, Jian Jin, Lili Meng +4
Audio-visual quality assessment (AVQA) research has been stalled by limitations of existing datasets: they are typically small in scale, with insufficient diversity in content and…