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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
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
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
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...
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DOI: https://doi.org/10.1109/cac.2017.8243952
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...
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other-oa
DOI: https://doi.org/10.1145/3578516
Sugandha Arora, Trilok Mathur, Shivi Agarwal, Kamlesh Tiwari et al. • Neurocomputing
(2022)
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DOI: https://doi.org/10.1016/j.neucom.2021.10.122
Joseph L. Mundy, Andrew Zisserman • The MIT Press eBooks
(1992)
Part 1 Foundations: algebraic invariants - invariant theory and enumerative combinatorics of young tableaux, Shreeram S. Abhyankar, geometric interpretation of joint conic invariants, Joseph L. Mundy, et al, an experimental evaluation of pr...
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Si W, Zhao F, Kuang D, Zhao Y et al. • Chinese medical journal
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1097/CM9.0000000000004176
PMC: PMC13730498
Haytam Elyoussfi, Hatim Bechri, Mostafa Bousbaa, Salwa Belaqziz et al. • SoftwareX
(2026)
SnowMapPy is an open-source Python-based package developed to streamline the collection, processing, and analysis of MODIS snow cover data from Terra and Aqua satellites. By automating essential steps, including data clipping, reprojection,...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.softx.2026.103006
S. Zlatanova, G. Sithole, M. Nakagawa, Q. Zhu • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2013)
Research in support of indoor mapping and modelling (IMM) has been active for over thirty years. This research has come in the
form of As-Built surveys, Data structuring, Visualisation techniques, Navigation models and so forth. Much of thi...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprsarchives-XL-4-W4-63-2013
Scott E. Umbaugh • Prentice Hall PTR eBooks
(1997)
From the Publisher:
True computer imaging for engineers!
Digital signal processing has long been the domain of electrical engineers, while the manipulation of image data has been handled by computer scientists. The convergence of these...
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Arshi Parvaiz, Muhammad Anwaar Khalid, Rukhsana Zafar, Huma Ameer et al. • Engineering Applications of Artificial Intelligence
(2023)
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Open Access
DOI: https://doi.org/10.1016/j.engappai.2023.106126
Longfei Zhou, Zhang Li, Nicholas Konz • IEEE Transactions on Systems Man and Cybernetics Systems
(2022)
Computer vision techniques have played an important role in promoting the informatization, digitization and intelligence of industrial manufacturing systems. Considering the rapid development of computer vision techniques, we present a comp...
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Open Access
DOI: https://doi.org/10.1109/tsmc.2022.3166397
Sebastian Nowozin • now publishers, Inc. eBooks
(2010)
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structure reflecting task-specific relations and constraints. Structu...
OPENALEX
DOI: https://doi.org/10.1561/9781601984579
Charles V. Stewart • SIAM Review
(1999)
Estimation techniques in computer vision applications must estimate accurate model parameters despite small-scale noise in the data, occasional large-scale measurement errors (outliers), and measurements from multiple populations in the sam...
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DOI: https://doi.org/10.1137/s0036144598345802
Vijeta Sharma, Manjari Gupta, Ajai Kumar, Deepti Mishra • IEEE Access
(2021)
Studies show lots of advanced research on various data types such as image, speech, and text using deep learning techniques, but nowadays, research on video processing is also an emerging field of computer vision. Several surveys are presen...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3118541
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