no code implementations • 30 Jan 2023 • Junyong You, Yuan Lin, Jari Korhonen
Deep networks have demonstrated promising results in the field of Image Quality Assessment (IQA).
no code implementations • 22 Jan 2023 • Junyong You, Zheng Zhang
A sequential spatial-channel attention module is proposed to simulate the visual attention and contrast sensitivity mechanisms that are crucial for content recognition and quality assessment.
no code implementations • 28 Mar 2022 • Junyong You, Zheng Zhang
Meanwhile, representative features for image quality perception in the spatial and frequency domains can also be derived from the IQA model, which are then fed into another windowed transformer architecture for video quality assessment (VQA).
1 code implementation • 2 Jun 2021 • Jari Korhonen, Yicheng Su, Junyong You
Promising results for subjective image quality prediction have been achieved during the past few years by using convolutional neural networks (CNN).
no code implementations • 30 Dec 2020 • Junyong You, Jari Korhonen
Transformer has become the new standard method in natural language processing (NLP), and it also attracts research interests in computer vision area.