3 citations · 5 across the 5 of their papers we have counts for
5 papers
CLIPVQA:Video Quality Assessment via CLIP
Fengchuang Xing, Mingjie Li, Yuan-Gen Wang +2
In learning vision-language representations from web-scale data, the contrastive language-image pre-training (CLIP) mechanism has demonstrated a remarkable performance in many visi…
StarVQA+: Co-training Space-Time Attention for Video Quality Assessment
Fengchuang Xing, Yuan-Gen Wang, Weixuan Tang +2
Self-attention based Transformer has achieved great success in many computer vision tasks. However, its application to video quality assessment (VQA) has not been satisfactory so f…
Object-Attentional Untargeted Adversarial Attack
Chao Zhou, Yuan-Gen Wang, Guopu Zhu
Deep neural networks are facing severe threats from adversarial attacks. Most existing black-box attacks fool target model by generating either global perturbations or local patche…
StarVQA: Space-Time Attention for Video Quality Assessment
Fengchuang Xing, Yuan-Gen Wang, Hanpin Wang +2
The attention mechanism is blooming in computer vision nowadays. However, its application to video quality assessment (VQA) has not been reported. Evaluating the quality of in-the-…
Controllable List-wise Ranking for Universal No-reference Image Quality Assessment
Fu-Zhao Ou, Yuan-Gen Wang, Jin Li +2
No-reference image quality assessment (NR-IQA) has received increasing attention in the IQA community since reference image is not always available. Real-world images generally suf…