GitHub

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference

In vision-language models (VLMs), visual tokens usually consume a significant amount of computational overhead, despite their sparser information density compared to text tokens. To address this, ...
IEEE

No-Reference Screen Content Image Quality Assessment Via Edge and Visual Salient Feature Fusion Network

Abstract: Screen Content Image Quality Assessment (SCIQA) is an important topic of computer vision. Most existing No-Reference SCIQA (NR-SCIQA) methods cannot effectively capture features of the texts ...
IEEE

Deep Learning Approach for No-Reference Screen Content Video Quality Assessment

Abstract: Screen content video (SCV) has drawn much more attention than ever during the COVID-19 period and has evolved from a niche to a mainstream due to the recent proliferation of remote offices, ...