4 papers
Evaluating quality metrics through the lenses of psychophysical measurements of low-level vision
Dounia Hammou, Yancheng Cai, Pavan Madhusudanarao +2
Image and video quality metrics, such as SSIM, LPIPS, and VMAF, aim to predict perceived visual quality and are often assumed to reflect principles of human vision. However, relati…
Implicit neural representation of textures
Albert Kwok, Zheyuan Hu, Dounia Hammou
Implicit neural representation (INR) has proven to be accurate and efficient in various domains. In this work, we explore how different neural networks can be designed as a new tex…
ICME 2025 Generalizable HDR and SDR Video Quality Measurement Grand Challenge
Yixu Chen, Bowen Chen, Hai Wei +16
This paper reports IEEE International Conference on Multimedia \& Expo (ICME) 2025 Grand Challenge on Generalizable HDR and SDR Video Quality Measurement. With the rapid developmen…
Do computer vision foundation models learn the low-level characteristics of the human visual system?
Yancheng Cai, Fei Yin, Dounia Hammou +1
Computer vision foundation models, such as DINO or OpenCLIP, are trained in a self-supervised manner on large image datasets. Analogously, substantial evidence suggests that the hu…