Home »
Academic Articles & Research Papers
Showing 20 of 66 academic articles
Kyle Harlow, Hyesu Jang, Timothy D. Barfoot, Ayoung Kim et al. • IEEE Transactions on Robotics
(2024)
We survey the current state of millimeter-wave (mmWave) radar applications in robotics with a focus on unique capabilities, and discuss future opportunities based on the state of the art. Frequency modulated continuous wave mmWave radars op...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tro.2024.3463504
Jiahui Yu, Linjie Yang, Ning Xu, Yang, Jianchao et al. • arXiv (Cornell University)
(2018)
We present a simple and general method to train a single neural network executable at different widths (number of channels in a layer), permitting instant and adaptive accuracy-efficiency trade-offs at runtime. Instead of training individua...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1812.08928
Hao Yi, Bo Liu, Bin Zhao, Enhai Liu • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2024)
Due to the limitations of small targets in remote sensing images, such as background noise, poor information, and so on, the results of commonly used detection algorithms in small target detection is not satisfactory. To improve the accurac...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/JSTARS.2023.3339235
Shima Javanmardi, Ali Mohammad Latif, Mohammad Taghi Sadeghi, Mehrdad Jahanbanifard et al. • Sensors
(2022)
In image captioning models, the main challenge in describing an image is identifying all the objects by precisely considering the relationships between the objects and producing various captions. Over the past few years, many methods have b...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s22218376
Khalid M. Hosny, Nada AbdElFattah Ibrahim, Ehab R. Mohamed, Hanaa M. Hamza • Intelligent Systems with Applications
(2024)
The COVID-19 virus is causing a global pandemic. The total number of new coronavirus cases worldwide by the end of November 2020 had already surpassed 60 million. The World Health Organization (WHO) has determined that wearing masks is a cr...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.iswa.2024.200391
Ali Haider, Ghulam Muhammad, Talha Ahmed Khan, Kushsairy Kadir et al. • Scientific Reports
(2025)
Abstract Camouflaged object detection particularly is considered as challenging and crucial because these objects are designed to either mimic their environment or be completely hidden within it. The goal of camouflage patterns utilization ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-18886-y
Mrs. Arjoo Pandey • International Journal for Research in Applied Science and Engineering Technology
(2023)
Abstract: Computer vision is a field of artificial intelligence that focuses on enabling computers to understand and interpret visual information from images or videos. It involves developing algorithms and techniques to extract meaningful ...
OPENALEX
Open Access
DOI: https://doi.org/10.22214/ijraset.2023.54701
Jiarui Bi, Zengliang Zhu, Qinglong Meng • International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)
(2021)
Transformer is widely used in Natural Language Processing (NLP), in which numerous papers have been proposed. Recently, the transformer has been borrowed for many computer vision tasks. However, there are few papers to give a comprehensive ...
OPENALEX
DOI: https://doi.org/10.1109/cei52496.2021.9574462
Xinkai Xu, Hailan Zhang, Yan Ma, Kang Liu et al. • Remote Sensing
(2023)
Small-object detection is a challenging task in computer vision due to the limited training samples and low-quality images. Transfer learning, which transfers the knowledge learned from a large dataset to a small dataset, is a popular metho...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs15143525
Muhammad Faseeh, Misbah Bibi, Murad Ali Khan, Atif Rizwan et al. • IEEE Access
(2024)
Accurate depth information is crucial for various computer vision applications such as augmented reality, 3D modeling, and autonomous vehicles. Recent advancements have significantly improved both supervised and self-supervised methods for ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3485089
Donald Shenaj, Giulia Rizzoli, Pietro Zanuttigh • IEEE Access
(2023)
Federated Learning (FL) has recently emerged as a novel machine learning paradigm allowing to preserve privacy and to account for the distributed nature of the learning process in many real-world settings. Computer vision tasks deal with hu...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1109/access.2023.3310400
Caglar Koylu, Chang Zhao, Wei Shao • ISPRS International Journal of Geo-Information
(2019)
Thanks to recent advances in high-performance computing and deep learning, computer vision algorithms coupled with spatial analysis methods provide a unique opportunity for extracting human activity patterns from geo-tagged social media ima...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/ijgi8010045
Sunila Gollapudi • Apress eBooks
(2019)
Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examp...
OPENALEX
DOI: https://doi.org/10.1007/978-1-4842-4261-2
Ksheera R Shetty, Vaibhav S Soorinje, Prinson Dsouza, Swasthik • International Journal of Advanced Research in Science Communication and Technology
(2022)
Over the last years deep learning methods have been shown to outperform previous state-of-the-art machine learning techniques in several fields, with computer vision being one of the most prominent cases. This review paper provides a brief ...
OPENALEX
cc-by
DOI: https://doi.org/10.48175/ijarsct-2898
Yaguang Guo, Qi Zou, Lu Jin • IET Computer Vision
(2021)
Abstract Because of the popularisation of high‐resolution images, detecting objects in these images quickly and accurately has attracted increasing attention in recent studies. Current convolutional neural networks (CNN)‐based detection met...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/cvi2.12042
Arailym Serikbay, Venera Nurmanova, Yerbol Akhmetov, Amin Zollanvari et al. • International Transactions on Electrical Energy Systems
(2025)
Regular monitoring of outdoor insulators is crucial to ensure the reliable functioning of the power grid. With recent progress in computer vision technologies, traditional manual and expensive visual inspections can now be replaced by autom...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/etep/8669289
Saja Sadiq Bakhit, Saleem Lateef, Ali Al-Naji • Journal of Engineering
(2026)
Manual medication dispensing in pharmacies remains prone to human errors and is time-intensive, particularly under high patient loads, while existing commercial automation solutions are cost-prohibitive for small to medium-sized pharmacy se...
DOAJ
Open Access (DOAJ)
DOI: 10.31026/j.eng.2026.08.02
Jinyingming Zhang, Jin Liu, Xiongwei Xu, Peizhu Gong et al. • IEEE Access
(2020)
Segmenting characters in an image is a classic yet challenging task in computer vision. Correctly determining boundaries of adhesive characters with various scales and shapes is essential for character segmentation, especially for separatin...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.3036545
Wei Xue, Xiaoyan Xia, Pengcheng Wan, Ping Zhong et al. • Tsinghua Science and Technology
(2025)
Deep neural networks are commonly used in computer vision tasks, but they are vulnerable to adversarial samples, resulting in poor recognition accuracy. Although traditional algorithms that craft adversarial samples have been effective in a...
DOAJ
Open Access (DOAJ)
DOI: 10.26599/TST.2024.9010029
Manar Ashkanani, Alanoud AlAjmi, Aeshah Alhayyan, Zahraa Esmael et al. • Inventions
(2025)
Traffic management systems play a crucial role in smart cities, especially because increasing urban populations lead to higher traffic volumes on roads. This results in increased congestion at intersections, causing delays and traffic viola...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/inventions10010014