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Image quality assessment (IQA) is an important problem in computer vision with many applications. We propose a transformer-based multi-task learning framework for the IQA task. Two subtasks: constructing an auxiliary information error map and completing ...

Depth image-based rendering (DIBR) techniques play an essential role in free-viewpoint videos (FVVs), which generate the virtual views from a reference 2D texture video and its associated depth information. However, the background regions occluded by the ...

Personalized image aesthetics assessment (PIAA) has gained increasing attention from researchers due to its ability to measure individual users' specific aesthetic experiences. However, most existing PIAA methods rely on holistic features or simplistic ...

• Effective: PLFace significantly improves the accuracy of masked face recognition while maintaining the performance of normal face recognition on several face ...

The outbreak of the COVID-19 coronavirus epidemic has promoted the development of masked face recognition (MFR). Nevertheless, the performance of regular face recognition is severely compromised when the MFR accuracy is blindly ...

During the COVID-19 coronavirus epidemic, wearing masks has become increasingly popular. Traditional occlusion face recognition algorithms are almost ineffective for such heavy mask occlusion. Therefore, it is urgent to improve the recognition performance ...

How to accurately figure out Deepfake face video has recently been a popular research topic. The normal genuine faces exhibit binocular synchronization phenomenon of eye movements, either blinking or saccade. Instead, Deepfake faces may not be ...

The performance of face recognition methods predominantly depends on the quality of facial images. Therefore, by filtering low-quality facial images, face recognizers can be effectively implemented. Moreover, the factors causing ...

• An attribute-aware relational reasoning network for image aesthetic assessment.
• People’s various preferences lead to subjectivity in aesthetic ratings on images.
• The diversity of aesthetic attributes in images affects people’s ...

People’s various visual preferences lead to subjectivity in their aesthetic perception of images. Hence, learning image aesthetic subjectivity has attracted great interest in the computer vision community. People with different subjectivity often ...

Face recognition systems are widely used for target recognition and identity authentication, such as automated teller machines, mobile phones, and entrance guard systems. However, face recognition systems are vulnerable to presentation ...

Free viewpoint video (FVV) has received considerable attention owing to its widespread applications in several areas such as immersive entertainment, remote surveillance and distanced education. Since FVV images are synthesized via a depth image-based ...

Super-resolution (SR) image reconstruction has been extensively studied in recent years due to its broad uses in machine vision, medical imaging, remote sensing and monitoring systems. However, evaluating the performance of SR ...

• A novel IQA metric for super-resolution(SR) reconstructed images is proposed.
• ...

In recent years, single-image super-resolution (SR) reconstruction has aroused wide attention. Massive SR enhancement algorithms have been proposed. However, much less work has been down on the perceptual evaluation of SR enhanced images and the ...