36 citations · 75 across the 20 of their papers we have counts for
7 papers · 1 filter
Neighbourhood Representative Sampling for Efficient End-to-end Video Quality Assessment
Haoning Wu, Chaofeng Chen, Liang Liao +5
The increased resolution of real-world videos presents a dilemma between efficiency and accuracy for deep Video Quality Assessment (VQA). On the one hand, keeping the original reso…
Reference-Guided Texture and Structure Inference for Image Inpainting
Taorong Liu, Liang Liao, Zheng Wang +1
Existing learning-based image inpainting methods are still in challenge when facing complex semantic environments and diverse hole patterns. The prior information learned from the…
Exploring the Effectiveness of Video Perceptual Representation in Blind Video Quality Assessment
Liang Liao, Kangmin Xu, Haoning Wu +4
With the rapid growth of in-the-wild videos taken by non-specialists, blind video quality assessment (VQA) has become a challenging and demanding problem. Although lots of efforts…
FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling
Haoning Wu, Chaofeng Chen, Jingwen Hou +5
Current deep video quality assessment (VQA) methods are usually with high computational costs when evaluating high-resolution videos. This cost hinders them from learning better vi…
DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment
Haoning Wu, Chaofeng Chen, Liang Liao +4
The temporal relationships between frames and their influences on video quality assessment (VQA) are still under-studied in existing works. These relationships lead to two importan…
Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label Diffusion
Liang Liao, Wenyi Chen, Jing Xiao +3
Understanding foggy image sequence in the driving scenes is critical for autonomous driving, but it remains a challenging task due to the difficulty in collecting and annotating re…
Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning
Mengshun Hu, Kui Jiang, Liang Liao +3
Spatial-Temporal Video Super-Resolution (ST-VSR) aims to generate super-resolved videos with higher resolution(HR) and higher frame rate (HFR). Quite intuitively, pioneering two-st…