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Academic Articles & Research Papers
Showing 20 of 423 academic articles
Congcong Zhang, Jin Tian, Lihua Gong, Yujin Zhang et al. • Applied Sciences
(2026)
Video prediction is a fundamental task in computer vision with broad applications in intelligent robotics, autonomous driving, and related fields. However, existing methods often struggle to simultaneously model long-term temporal dependenc...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16094423
Khaled Abud, Sergey Lavrushkin, Dmitry Vatolin • Big Data and Cognitive Computing
(2025)
Neural-network-based models have made considerable progress in many computer vision areas over recent years. However, many works have exposed their vulnerability to malicious input data manipulation—that is, to adversarial attacks. Although...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bdcc9070166
Chuanhui Shan, Xinlong Geng, Chao Han • Heliyon
(2024)
Extracting and detecting road network consistency from high-resolution remote sensing images has been a hot and difficult problem in the computer vision. Although it has made significant progress, there is still a phenomenon of high trainin...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.heliyon.2024.e37470
Ling-Yu Duan, Wen Gao, Yonghong Tian, Yuanning Li et al. • EURASIP Journal on Image and Video Processing
(2010)
Learning visual concepts from images is an important yet challenging problem in computer vision and multimedia research areas. Multiple kernel learning (MKL) methods have shown great advantages in visual concept learning. As a visual concep...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2010/461450
Jonathan P. Dandois, Erle C. Ellis • Remote Sensing
(2010)
High spatial resolution measurements of vegetation structure in three-dimensions (3D) are essential for accurate estimation of vegetation biomass, carbon accounting, forestry, fire hazard evaluation and other land management and scientific ...
OPENALEX
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DOI: https://doi.org/10.3390/rs2041157
Sharada Prasanna Mohanty, Jakub Czakon, Kamil A. Kaczmarek, Kamil A. Kaczmarek et al. • Frontiers in Artificial Intelligence
(2020)
Translating satellite imagery into maps requires intensive effort and time, especially leading to inaccurate maps of the affected regions during disaster and conflict. The combination of availability of recent datasets and advances in compu...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frai.2020.534696
Dan Wu, Yanzhi Wang, Yuqi Fei, Guowang Gao • IEEE Access
(2025)
Model size and inference speed have brought about major challenges for the deployment of Convolutional Neural Networks (CNNs) in many applications. An effective approach to address this issue is model quantization, which achieves network co...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3551802
Otilia Zvorișteanu, Simona Caraiman, Vasile-Ion Manta • Mathematics
(2022)
Environment perception and understanding represent critical aspects in most computer vision systems and/or applications. State-of-the-art techniques to solve this vision task (e.g., semantic instance segmentation) require either dedicated h...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math10142365
Mostafa Aref, Ghada Elshamy, Marco Alfonse, Islam Hegazy • International Journal of Intelligent Computing and Information Sciences
(2024)
Recently the conjunction between vision and language has created many intersecting tasks as visual question-answering systems, image captioning, etc. Specifically, dialog systems that depend on a visual scene play an important role in impro...
DOAJ
Open Access (DOAJ)
DOI: 10.21608/ijicis.2024.295310.1339
Nianyi Wang, Weilan Wang, Wenjin Hu • IEEE Access
(2021)
Thangka murals are precious cultural heritage for Tibetan history, literature, and art. Digital line drawing of Thangka murals plays a vital role not only as an abstracted expression of Thangka for art appreciation but also as a fundamental...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3068199
Kota Suzuki, Abu Saleh Musa Miah, Jungpil Shin • Sensors
(2025)
Eye-tracking technology enables communication for individuals with muscle control difficulties, making it a valuable assistive tool. Traditional systems rely on electrooculography (EOG) or infrared devices, which are accurate but costly and...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s25206325
Sanaz Janibeigi, Mahdi Bahaghighat, Zahra Yaghoubi, Nastooh Taheri Javan • CLEI Electronic Journal
(2026)
Conventional fire detection systems, which depend on smoke and fire sensors, frequently have problems with calibration, susceptibility to environmental changes, and the requirement for ongoing maintenance. These flaws can result in unfavora...
DOAJ
Open Access (DOAJ)
DOI: 10.19153/cleiej.29.2.5
Alexey A. Klokov, Di Un Pak, Aleksandr Khorin, Dmitry A. Yudin et al. • IEEE Access
(2023)
LiDARs are one of the key sources of reliable environmental ranging information for autonomous vehicles. However, segmentation of 3D scene elements (roads, buildings, people, cars, etc.) based on LiDAR point clouds has limitations. On the o...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3298706
Lakshmi Sree Pugalenthi, Chris Garapati, Srivarshini Maddukuri, Fnu Kanwal et al. • Journal of Vascular Diseases
(2025)
Background: Varicose veins (VVs) of the lower limbs, characterized by palpable, dilated, and tortuous veins, affect 2–73% of the global population. Artificial intelligence (AI) offers significant potential to enhance healthcare efficiency a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jvd4020019
Nikita Andriyanov • Mathematics
(2022)
On the one hand, the solution of computer vision tasks is associated with the development of various kinds of images or random fields mathematical models, i.e., algorithms, that are called traditional image processing. On the other hand, no...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math10214021
Ehtesham Hassan, Yasser Khalil, Imtiaz Ahmad • Journal of Engineering
(2020)
Object detection in real images is a challenging problem in computer vision. Despite several advancements in detection and recognition techniques, robust and accurate localization of interesting objects in images from real-life scenarios re...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2020/7286187
Simegnew Yihunie Alaba, Ali C. Gurbuz, John E. Ball • World Electric Vehicle Journal
(2024)
The pursuit of autonomous driving relies on developing perception systems capable of making accurate, robust, and rapid decisions to interpret the driving environment effectively. Object detection is crucial for understanding the environmen...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/wevj15010020
Yong Xu, Chaoda Zheng, Ruotao Xu, Yuhui Quan • IEEE Access
(2019)
Recognition of 3D shapes is a fundamental task in computer vision. In recent years, view-based deep learning has emerged as an effective approach for 3D shape recognition. Most existing view-based methods treat the views of an object as an ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2934650
Jiajun Guo, Qingge Ji, Guangwei Shan • IET Image Processing
(2024)
Abstract Current skeleton‐based action recognition methods usually assume the input skeleton is complete and noise‐free. However, it is inevitable that the captured skeletons are incomplete due to occlusions or noisy due to changes in the e...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12944
B. Valarmathi, N. Srinivasa Gupta, G. Prakash, R. Hemadri Reddy et al. • IEEE Access
(2023)
Deep learning and computer vision algorithms will be applied to find the breed of the dog from an image. The goal is to have the user submit an image of a dog, and the model will choose one of the 120 breeds stated in the dataset to determi...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3297440