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Academic Articles & Research Papers
Showing 20 of 547 academic articles
Jhansi Rani Challapalli, Nagaraju Devarakonda • Machine Learning: Science and Technology
(2023)
Multi-person pose estimation (MPE) remains a significant and intricate issue in computer vision. This is considered the human skeleton joint identification issue and resolved by the joint heat map regression network lately. Learning robust ...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/2632-2153/acc9fc
Stuart Stock • Field Actions Science Reports
(2026)
As the global economy confronts the dual imperatives of ecological preservation and technological advancement, we at Veolia, are executing a comprehensive strategy that places Artificial Intelligence (AI) at the core of our operations and f...
DOAJ
Open Access (DOAJ)
Mingming Tan, Tao Fang, Yingle Fan, Wei Wu et al. • IEEE Access
(2019)
The dehazing of images shot in fog is a hot spot in the study of computer vision. Unlike dehazing methods, which use an atmospheric scattering model, the method proposed here is based on fusion coding of contours and colors. It simulates th...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2945108
Daniela Arbeláez-Lelion, Francisco Ocaziones, Mateo José Murcia-Ramos, Samuel Salgado et al. • Cirugía Cardiovascular
(2026)
Artificial intelligence (AI) and computer vision (CV) are increasingly applied in vascular surgery for preoperative mapping and intraoperative flow/perfusion assessment, with potential to enhance safety and efficiency. However, the extent o...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.circv.2025.10.002
Minh-Phuong Tran • ELCVIA Electronic Letters on Computer Vision and Image Analysis
(2019)
The paper is devoted to the new model for image decomposition, that splits an image $f$ into three components $u+v+\omega$, with $u$ a piecewise-smooth or the ``cartoon'' component, $v$ a texture component and $\omega$ the noise part in var...
DOAJ
Open Access (DOAJ)
DOI: 10.5565/rev/elcvia.1162
Zahraa Tarek, Esraa Hasan • Journal of the Saudi Society of Agricultural Sciences
(2026)
Abstract Self-supervised learning (SSL) has emerged as a pivotal paradigm in computer vision, particularly for applications where labeled data are limited, costly, or labor-intensive to obtain. This paradigm is especially relevant to sustai...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44447-026-00151-x
Chrisantus Eze, Christopher Crick • IEEE Access
(2025)
Robot learning of manipulation skills is hindered by the scarcity of diverse, unbiased datasets. While curated datasets can help, challenges remain regarding generalizability and real-world transfer. Meanwhile, large-scale ‘in-the-wi...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3624723
Dong Wang, Yaowen Kang, Yibin Chen, Yuefang Gao et al. • Journal of King Saud University: Computer and Information Sciences
(2026)
Abstract Image inpainting is crucial for restoring missing or corrupted regions in images, with diverse applications in computer vision and digital content creation. Existing deep learning-based methods, however, often struggle with large o...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44443-026-00545-5
William T. Freeman, Kazuhiro Tanaka, Jun Ohta, Kazuo Kyuma • International Conference on Automatic Face and Gesture Recognition
(2002)
The appeal of computer games may be enhanced by vision-based user inputs. The high speed and low cost requirements for near-term, mass-market game applications make system design challenging. The response time of the vision interface should...
OPENALEX
DOI: https://doi.org/10.1109/afgr.1996.557250
• Lecture notes in computer science
(1994)
OPENALEX
DOI: https://doi.org/10.1007/3-540-58240-1
Anuja Bhargava, Atul Bansal • Journal of King Saud University - Computer and Information Sciences
(2018)
In agriculture science, automation increases the quality, economic growth and productivity of the country. The export market and quality evaluation are affected by assorting of fruits and vegetables. The crucial sensory characteristic of fr...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.jksuci.2018.06.002
Xin Feng, Youni Jiang, Xuejiao Yang, Ming Du et al. • Integration
(2019)
The field of computer vision is experiencing a great-leap-forward development today. This paper aims at providing a comprehensive survey of the recent progress on computer vision algorithms and their corresponding hardware implementations. ...
OPENALEX
cc-by
DOI: https://doi.org/10.1016/j.vlsi.2019.07.005
Qing Wu, Yungang Liu, Qiang Li, Shaoli Jin et al. • Chinese Automation Congress
(2017)
As the deep learning exhibits strong advantages in the feature extraction, it has been widely used in the field of computer vision and among others, and gradually replaced traditional machine learning algorithms. This paper first reviews th...
OPENALEX
DOI: https://doi.org/10.1109/cac.2017.8243952
Byungjae Lee, Enkhbayar Erdenee, Songguo Jin, Phill Kyu Rhee • Lecture notes in computer science
(2016)
OPENALEX
Open Access
DOI: https://doi.org/10.1007/978-3-319-48881-3
Yanxi Liu, Tianzi Jiang, Changshui Zhang • Lecture notes in computer science
(2005)
OPENALEX
DOI: https://doi.org/10.1007/11569541
Salma González-Sabbagh, Antonio Robles‐Kelly • ACM Computing Surveys
(2023)
Underwater computer vision has attracted increasing attention in the research community due to the recent advances in underwater platforms such as of rovers, gliders, autonomous underwater vehicles (AUVs) , and the like, that now make possi...
OPENALEX
other-oa
DOI: https://doi.org/10.1145/3578516
Sugandha Arora, Trilok Mathur, Shivi Agarwal, Kamlesh Tiwari et al. • Neurocomputing
(2022)
OPENALEX
DOI: https://doi.org/10.1016/j.neucom.2021.10.122
Hervé Jeǵou, Gang Hua • Lecture notes in computer science
(2016)
OPENALEX
DOI: https://doi.org/10.1007/978-3-319-46604-0
Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen • Computational imaging and vision
(2011)
OPENALEX
DOI: https://doi.org/10.1007/978-0-85729-748-8_14
Henrik I. Christensen • Lecture notes in computer science
(1999)
OPENALEX
DOI: https://doi.org/10.1007/3-540-49256-9