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Article
Open AccessFeature fusion based on joint sparse representations and wavelets for multiview classification
Feature-level-based fusion has attracted much interest. Generally, a dataset can be created in different views, features, or modalities. To improve the classification rate, local information is shared among di...
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Article
Image Generation: A Review
The creation of an image from another and from different types of data including text, scene graph, and object layout, is one of the very challenging tasks in computer vision. In addition, capturing images fro...
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Article
Pose-invariant face recognition with multitask cascade networks
In this work, a face recognition method is proposed for face under pose variations using a multitask convolutional neural network (CNN). Furthermore, a pose estimation method followed by a face identification ...
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Article
An Encoder–Decoder-Based Method for Segmentation of COVID-19 Lung Infection in CT Images
The novelty of the COVID-19 Disease and the speed of spread, created colossal chaotic, impulse all the worldwide researchers to exploit all resources and capabilities to understand and analyze characteristics ...
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Article
Open AccessANFIS-Net for automatic detection of COVID-19
Among the most leading causes of mortality across the globe are infectious diseases which have cost tremendous lives with the latest being coronavirus (COVID-19) that has become the most recent challenging iss...
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Article
Applications, databases and open computer vision research from drone videos and images: a survey
Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an emerging application attracting significant attention from researchers in various areas of computer vision. Currently, th...
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Article
Open AccessGait recognition for person re-identification
Person re-identification across multiple cameras is an essential task in computer vision applications, particularly tracking the same person in different scenes. Gait recognition, which is the recognition base...
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Article
Open AccessA combined multiple action recognition and summarization for surveillance video sequences
Human action recognition and video summarization represent challenging tasks for several computer vision applications including video surveillance, criminal investigations, and sports applications. For long vi...
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Chapter and Conference Paper
Image Steganography Using Auto Encoder-Decoder Based Deep Learning Method
Image steganography is the process of communicating hidden secret image embedded in a cover image in plain sight without arousing any suspicions. In the recent times, deep learning methods have gained populari...
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Chapter
A Robust Method for Text, Line, and Word Segmentation for Historical Arabic Manuscripts
The segmentation of old documents is a crucial phase for reading and understanding the content of a document automatically. Also, the extraction of words and phrases in a document needs segmentation of each li...
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Article
Image Inpainting: A Review
Although image inpainting, or the art of repairing the old and deteriorated images, has been around for many years, it has recently gained even more popularity, because of the recent development in image proce...
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Chapter and Conference Paper
MHAD: Multi-Human Action Dataset
This paper presents a framework for a multi-action recognition method. In this framework, we introduce a new approach to detect and recognize the action of several persons within one scene. Also, considering t...
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Chapter and Conference Paper
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algori...