Effective approaches to achieve food safety and security can prevent catastrophic situations.
Therefore, it is required to monitor agricultural crops on a regular basis. This can be easily …

As the penetration of solar energy generation into power systems keeps rising, intra-hour
solar forecasting (IHSF) is becoming increasingly important for the secure and economical …

We present an approach to accelerating a wide variety of image processing operators. Our
approach uses a fully-convolutional network that is trained on input-output pairs that …

Images contain many levels of important structures and edges. Compared to masses of
research to make filters edge preserving, finding scale-aware local operations was seldom …

We present the bilateral solver, a novel algorithm for edge-aware smoothing that combines
the flexibility and speed of simple filtering approaches with the accuracy of domain-specific …

Guided image filter (GIF) is a well-known local filter for its edge-preserving property and low
computational complexity. Unfortunately, the GIF may suffer from halo artifacts, because the …

This paper proposes a deep neural network structure that exploits edge information in
addressing representative low-level vision tasks such as layer separation and image …

In this paper, we propose a general dual convolutional neural network (DualCNN) for low-
level vision problems, eg, super-resolution, edge-preserving filtering, deraining and …

This paper presents a new method to synthesize an image from arbitrary views and times
given a collection of images of a dynamic scene. A key challenge for the novel view …

We propose a novel video object segmentation algorithm based on pixel-level matching
using Convolutional Neural Networks (CNN). Our network aims to distinguish the target area …