3 citations · 10 across the 9 of their papers we have counts for
8 papers · 1 filter
Light Pollution Reduction in Nighttime Photography
Chang Liu, Xiaolin Wu
Nighttime photographers are often troubled by light pollution of unwanted artificial lights. Artificial lights, after scattered by aerosols in the atmosphere, can inundate the star…
Attention-guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton
Xi Zhang, Xiaolin Wu
We propose a deep learning system for attention-guided dual-layer image compression (AGDL). In the AGDL compression system, an image is encoded into two layers, a base layer and an…
Adaptive Loss Function for Super Resolution Neural Networks Using Convex Optimization Techniques
Seyed Mehdi Ayyoubzadeh, Xiaolin Wu
Single Image Super-Resolution (SISR) task refers to learn a mapping from low-resolution images to the corresponding high-resolution ones. This task is known to be extremely difficu…
Challenge of Spatial Cognition for Deep Learning
Xi Zhang, Xiaolin Wu, Jun Du
Given the success of the deep convolutional neural networks (DCNNs) in applications of visual recognition and classification, it would be tantalizing to test if DCNNs can also lear…
Deep Learning with Inaccurate Training Data for Image Restoration
Bolin Liu, Xiao Shu, Xiaolin Wu
In many applications of deep learning, particularly those in image restoration, it is either very difficult, prohibitively expensive, or outright impossible to obtain paired traini…
Learning-Based Dequantization For Image Restoration Against Extremely Poor Illumination
Chang Liu, Xiaolin Wu, Xiao Shu
All existing image enhancement methods, such as HDR tone mapping, cannot recover A/D quantization losses due to insufficient or excessive lighting, (underflow and overflow problems…