1 citations · 2 across the 4 of their papers we have counts for
4 papers
SemiDDM-Weather: A Semi-supervised Learning Framework for All-in-one Adverse Weather Removal
Fang Long, Wenkang Su, Zixuan Li +4
Adverse weather removal aims to restore clear vision under adverse weather conditions. Existing methods are mostly tailored for specific weather types and rely heavily on extensive…
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…
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…
Black-box Adversarial Attacks Against Image Quality Assessment Models
Yu Ran, Ao-Xiang Zhang, Mingjie Li +2
The goal of No-Reference Image Quality Assessment (NR-IQA) is to predict the perceptual quality of an image in line with its subjective evaluation. To put the NR-IQA models into pr…