Object detection is a vital research direction in machine vision and deep learning. The object
detection technique based on deep understanding has achieved tremendous progress in …

This paper presents a method to automatically and efficiently detect face tampering in
videos, and particularly focuses on two recent techniques used to generate hyper-realistic …

Deep convolutional neural networks (CNNs) with strong expressive ability have achieved
impressive performances on single image super-resolution (SISR). However, their excessive …

Tasks that involve high-resolution dense prediction require a modeling of both local and
global patterns in a large input field. Although the local and global structures often depend …

Intelligent defect detection have been widely studied and applied in many industrial fields.
However, intelligent tire defect inspection remains a challenging task due to tire …

Deep Convolutional Neural Networks (CNN) have drawn great attention in image super-
resolution (SR). Recently, visual attention mechanism, which exploits both of the feature …

Maize small leaf spot (Bipolaris maydis) is one of the most important diseases of maize. The
severity of the disease cannot be accurately identified, the cost of pesticide application …

Oil and gas production operations are a major source of environmental pollution that expose
people and habitats in many coastal communities around the world to adverse health …

Human motion prediction is a necessary component for many applications in robotics and
autonomous driving. Recent methods propose using sequence-to-sequence deep learning …

Objective. Fetal heart rate (HR) monitoring is routinely used during pregnancy and labor to
assess fetal well-being. The noninvasive fetal electrocardiogram (ECG), obtained by …