In recent years, deep learning has garnered tremendous success in a variety of application
domains. This new field of machine learning has been growing rapidly and has been …

Deep learning has demonstrated tremendous success in variety of application domains in
the past few years. This new field of machine learning has been growing rapidly and applied …

Image quality assessment (IQA) is an important research topic for understanding and
improving visual experience. The current state-of-the-art IQA methods are based on …

Automatically learned quality assessment for images has recently become a hot topic due to
its usefulness in a wide variety of applications, such as evaluating image capture pipelines …

Neural Networks require large amounts of memory and compute to process high resolution
images, even when only a small part of the image is actually informative for the task at hand …

Recently, product images have gained increasing attention in clothing recommendation
since the visual appearance of clothing products has a significant impact on consumers» …

We propose an effective deep learning approach to aesthetics quality assessment that relies
on a new type of pre-trained features, and apply it to the AVA data set, the currently largest …

Learning computational models of image aesthetics can have a substantial impact on visual
art and graphic design. Although automatic image aesthetics assessment is a challenging …

We introduce a new photographing guidance (PhotoHelper) for amateur photographers to
enhance their portrait photo quality using deep feature retrieval and fusion. In our model, we …

Challenges in image aesthetics assessment (IAA) arise from that images of different themes
correspond to different evaluation criteria, and learning aesthetics directly from images while …