Low-Light Image Enhancement is a computer vision task which intensifies the dark images
to appropriate brightness. It can also be seen as an illposed problem in image restoration …

Image restoration is a low-level vision task which is to restore degraded images to noise-free
images. With the success of deep neural networks, the convolutional neural networks …

Developing an automatic age estimation method toward human faces continues to possess
an important role in computer vision and pattern recognition. Many studies regarding facial …

Deep convolutional neural networks (DCNN) have demonstrated their potential to generate
reasonable results in image inpainting. Some existing method uses convolution to generate …

With the gradually increasing demand for high-resolution images, image super-resolution
(SR) technology has become more and more important in our daily life. In general, high …

Image restoration is a challenging and ill-posed problem which also has been a long-
standing issue. In this paper, we proposed a multi-branch restoration model inspired from …

In this work, we presented a novel clothing brand logo prediction method which is rooted on
a dense-block based deep convolutional neural network for brand logo detection and …

Over the past years, fashion clothing related research problems such as clothing style
classification, clothing attribute recognition, clothing recommendation, and clothing retrieval …

Among recent developments in semantic segmentation, deep convolutional encoder-
decoder has become the main-scheme model for remote sensing images. In this paper, we …

Infrared imaging is crucial for many applications, such as night vision and environmental
monitoring. However, it often suffers from lower spatial resolution compared to visible light …