Light field imaging has emerged as a technology allowing to capture richer visual
information from our world. As opposed to traditional photography, which captures a 2D …

Recently, artificial intelligence (AI) technology receives extensive attention in the
manufacturing field. As the core technology, it generates considerable interest among smart …

As one of the fundamental technologies for scene understanding, semantic segmentation
has been widely explored in the last few years. Light field cameras encode the geometric …

We propose a deep learning approach for user-guided image colorization. The system
directly maps a grayscale image, along with sparse, local user" hints" to an output …

Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …

Light field cameras capture both the spatial and the angular properties of light rays in space.
Due to its property, one can compute the depth from light fields in uncontrolled lighting …

Light field (LF) depth estimation is a crucial basis for LF-related applications. Most existing
methods are based on the Lambertian assumption and cannot deal with non-Lambertian …

Light field (LF) cameras record both intensity and directions of light rays, and capture scenes
from a number of viewpoints. Both information within each perspective (ie, spatial …

Abstract We propose a Deep Texture Encoding Network (TEN) with a novel Encoding Layer
integrated on top of convolutional layers, which ports the entire dictionary learning and …

Fault diagnosis is critical to ensure the safety and reliable operation of rotating machinery.
Most methods used in fault diagnosis of rotating machinery extract a few feature values from …