7 citations · 8 across the 10 of their papers we have counts for
4 papers · 1 filter
Blind Quality Enhancement of Compressed Video via Fine-Grained Degradation-Guided Sequential Inference
Li Yu, Yingbo Zhao, Shiyu Wu +3
Existing studies on quality enhancement for compressed video (QECV) predominantly rely on known quantization parameters (QPs), training separate enhancement models for each QP sett…
FANeRV: Frequency Separation and Augmentation based Neural Representation for Video
Li Yu, Zhihui Li, Chao Yao +2
Neural representations for video (NeRV) have gained considerable attention for their strong performance across various video tasks. However, existing NeRV methods often struggle to…
Text-Audio-Visual-conditioned Diffusion Model for Video Saliency Prediction
Li Yu, Xuanzhe Sun, Wei Zhou +1
Video saliency prediction is crucial for downstream applications, such as video compression and human-computer interaction. With the flourishing of multimodal learning, researchers…
DVLTA-VQA: Decoupled Vision-Language Modeling with Text-Guided Adaptation for Blind Video Quality Assessment
Li Yu, Situo Wang, Wei Zhou +1
Inspired by the dual-stream theory of the human visual system (HVS) - where the ventral stream is responsible for object recognition and detail analysis, while the dorsal stream fo…