Publications (21)
Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment
Xudong Li, Jingyuan Zheng, Xiawu Zheng +9
Image Quality Assessment (IQA) with reference images have achieved great success by imitating the human vision system, in which the image quality is effectively assessed by compari…
Structure Matters: Revisiting Boundary Refinement in Video Object Segmentation
Guanyi Qin, Ziyue Wang, Daiyun Shen +5
Given an object mask, Semi-supervised Video Object Segmentation (SVOS) technique aims to track and segment the object across video frames, serving as a fundamental task in computer…
SSGD: A smartphone screen glass dataset for defect detection
Haonan Han, Rui Yang, Shuyan Li +2
Interactive devices with touch screen have become commonly used in various aspects of daily life, which raises the demand for high production quality of touch screen glass. While i…
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity
Xudong Li, Timin Gao, Runze Hu +9
The current state-of-the-art No-Reference Image Quality Assessment (NR-IQA) methods typically rely on feature extraction from upstream semantic backbone networks, assuming that all…
RAUNE-Net: A Residual and Attention-Driven Underwater Image Enhancement Method
Wangzhen Peng, Chenghao Zhou, Runze Hu +2
Underwater image enhancement (UIE) poses challenges due to distinctive properties of the underwater environment, including low contrast, high turbidity, visual blurriness, and colo…
Gamma: Toward Generic Image Assessment with Mixture of Assessment Experts
Hantao Zhou, Rui Yang, Longxiang Tang +3
Image assessment aims to evaluate the quality and aesthetics of images and has been applied across various scenarios, such as natural and AIGC scenes. Existing methods mostly addre…