activity
20212024
most citedStarVQA: Space-Time Attention for Video Quality Assessment

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20241 cited

Image Super-Resolution with Taylor Expansion Approximation and Large Field Reception

Jiancong Feng, Yuan-Gen Wang, Mingjie Li +1

Self-similarity techniques are booming in blind super-resolution (SR) due to accurate estimation of the degradation types involved in low-resolution images. However, high-dimension…

cs.CV2024

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…

cs.CV2024

FRRffusion: Unveiling Authenticity with Diffusion-Based Face Retouching Reversal

Fengchuang Xing, Xiaowen Shi, Yuan-Gen Wang +1

Unveiling the real appearance of retouched faces to prevent malicious users from deceptive advertising and economic fraud has been an increasing concern in the era of digital econo…

eess.IV2023

NLCUnet: Single-Image Super-Resolution Network with Hairline Details

Jiancong Feng, Yuan-Gen Wang, Fengchuang Xing

Pursuing the precise details of super-resolution images is challenging for single-image super-resolution tasks. This paper presents a single-image super-resolution network with hai…

cs.CV20212 cited

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-…