no code implementations • 12 Dec 2022 • Oliver Wiedemann, Vlad Hosu, Shaolin Su, Dietmar Saupe
Through KonX, we provide empirical evidence of label shifts caused by changes in the presentation resolution.
no code implementations • 11 Jul 2022 • Shaolin Su, Hanhe Lin, Vlad Hosu, Oliver Wiedemann, Jinqiu Sun, Yu Zhu, Hantao Liu, Yanning Zhang, Dietmar Saupe
An accurate computational model for image quality assessment (IQA) benefits many vision applications, such as image filtering, image processing, and image generation.
1 code implementation • CVPR 2022 • Cheng Zhang, Shaolin Su, Yu Zhu, Qingsen Yan, Jinqiu Sun, Yanning Zhang
In this paper, to better study an image's potential value that can be explored for restoration, we propose a novel concept, referring to image restoration potential (IRP).
no code implementations • 11 Feb 2021 • Rui Li, Xiantuo He, Danna Xue, Shaolin Su, Qing Mao, Yu Zhu, Jinqiu Sun, Yanning Zhang
While the mappings between image and pixel-wise depth are well-studied in current methods, the correlation between image, depth and scene semantics, however, is less considered.
1 code implementation • CVPR 2020 • Shaolin Su, Qingsen Yan, Yu Zhu, Cheng Zhang, Xin Ge, Jinqiu Sun, Yanning Zhang
The vast majority of prior BIQA methods focus on how to predict synthetic image quality, but fail when applied to real-world distorted images.
Ranked #5 on No-Reference Image Quality Assessment on TID2013
Blind Image Quality Assessment No-Reference Image Quality Assessment +1