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Showing 20 of 1,870 academic articles
Txomin Hermosilla • ELCVIA Electronic Letters on Computer Vision and Image Analysis
(2014)
Urban areas areimportant environments, accounting for approximately half the population of theworld. Cities attract residents partly because they offer ample opportunitiesfor development, which often results in urban sprawl and its complex ...
DOAJ
Open Access (DOAJ)
DOI: 10.5565/rev/elcvia.584
Asim Niaz, Sareer Ul Amin, Shafiullah Soomro, Hamza Zia et al. • IEEE Access
(2024)
Surveillance videos are crucial for crime prevention and public safety, yet the challenge of defining abnormal events hinders their effectiveness, limiting the applicability of supervised methods. This paper introduces an unsupervised end-t...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3435144
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...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3118541
Agnès Desolneux, Lionel Moisan, Jean‐Michel Morel • Kluwer Academic Publishers eBooks
(2006)
In the Wertheimer programme there are two kinds of organizing laws. The rst kind are grouping laws which, starting from atomic and local data, recursively construct larger groups in the perceived image. Each grouping law focuses on a single...
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DOI: https://doi.org/10.1007/1-4020-2081-3_4
R.A. Jarvis • IEEE Transactions on Pattern Analysis and Machine Intelligence
(1983)
In recent times a great deal of interest has been shown, amongst the computer vision and robotics research community, in the acquisition of range data for supporting scene analysis leading to remote (noncontact) determination of configurati...
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DOI: https://doi.org/10.1109/tpami.1983.4767365
Lu Yuan, Dongdong Chen, Yi‐Ling Chen, Noel Codella et al. • arXiv (Cornell University)
(2021)
Automated visual understanding of our diverse and open world demands computer vision models to generalize well with minimal customization for specific tasks, similar to human vision. Computer vision foundation models, which are trained on d...
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Open Access
DOI: https://doi.org/10.48550/arxiv.2111.11432
Paulo Monteiro de Carvalho Monson, Vinicius Augusto Dare de Almeida, Gabriel Augusto David, Pedro Oliveira Conceição Junior et al. • Engineering Proceedings
(2024)
Computer vision applications demand a significant amount of data for effective training and inference in many computer vision tasks. However, data insufficiency situations usually happen due to multiple reasons, resulting in computational m...
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Open Access (DOAJ)
DOI: 10.3390/ecsa-11-20476
Sudeep Sarkar, Kim L. Boyer • Series in machine perception and artificial intelligence
(1994)
This book describes the design of a complete, flexible system for perceptual organization in computer vision using graph theoretic techniques, voting methods, and an extension of the Bayesian networks called perceptual inference networks (P...
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DOI: https://doi.org/10.1142/2421
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...
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Open Access (DOAJ)
DOI: 10.21608/ijicis.2024.295310.1339
Patrick Henz • Discover Psychology
(2022)
Abstract The Metaverse is no revolution, but another step in the evolution of the internet. Today we can observe various 3D virtual worlds with different focuses and purposes, like meeting spaces, education, or classic gaming. Most of these...
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Open Access (DOAJ)
DOI: 10.1007/s44202-022-00061-3
Billie F. Spencer, Vedhus Hoskere, Yasutaka Narazaki • Engineering
(2019)
Computer vision techniques, in conjunction with acquisition through remote cameras and unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure condition assessment. The ultimate goal of such a system i...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.eng.2018.11.030
Kleomenis eKatevas, Patrick G.T. Healey, Matthew Tobias Harris • Frontiers in Psychology
(2015)
The success of live comedy depends on a performer's ability to 'work' an audience. Ethnographic studies suggest that this involves the co-ordinated use of subtle social signals such as body orientation, gesture, gaze by both performers and ...
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Open Access (DOAJ)
DOI: 10.3389/fpsyg.2015.01253
Vinodkumar Patil, Manisha Patil, Smital Patil, Satish Desale • Advances in Engineering and Intelligence Systems
(2026)
Accurate detection of brain tumors at early stages is crucial for clinical diagnosis and treatment planning. Magnetic Resonance Imaging (MRI) is the most popular method due to its soft-tissue contrast and spatial resolution. However, manual...
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Open Access (DOAJ)
DOI: 10.22034/aeis.2026.570662.1424
R. D. Boyle, Robin Thomas • Cumulative Index of Computer Aided Architectural Design
(1988)
Computer vision is a new discipline recently developed from image processing, which is able to take raw images, and, after suitable processing, derive information from them automatically. Computer vision applications are legion in the areas...
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Yejin Jung, Sunwoo Cho, Haeyoon Yang, Nam Ik Cho • IEEE Access
(2025)
Semantic segmentation assigns class labels at the pixel level, forming a key part of various computer vision applications, including autonomous driving, medical imaging, and robotics. However, segmentation accuracy often drops significantly...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3641590
Liu Yuxin • ITM Web of Conferences
(2025)
With the advent of the Transformer, the attention mechanism has been applied to Large Language Model (LLM), evolving from initial single- modal large models to today's multi-modal large models. This has greatly propelled the development of ...
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Open Access (DOAJ)
DOI: 10.1051/itmconf/20257302025
Catarina de Nazaré Pereira Pinheiro, Roosevelt de Lima Sardinha, Pablo Machado Barros, André Bulcão et al. • Applied Sciences
(2024)
Neural networks have been used in various computer vision applications, including noise removal. However, removing seismic noise via deep learning approaches faces a specific issue: the scarcity of labeled data. To address this difficulty, ...
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Open Access (DOAJ)
DOI: 10.3390/app14219721
Haijie Ren, Weiqiang Wang, Wentao Tang, Rui Zhang • Physical Review Research
(2024)
Topological defects play a key role in the structures and dynamics of liquid crystals and other ordered systems. There is a recent interest in studying defects in different biological systems with distinct textures. However, a robust method...
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Open Access (DOAJ)
DOI: 10.1103/PhysRevResearch.6.013259
Qing Huang, Xiaoyan Zhang, Anqi Jin, Menghui Lei et al. • Journal of Marine Science and Engineering
(2025)
Many studies have used various time-frequency feature extraction methods to convert ship-radiated noise into three-dimensional (3D) data suitable for computer vision (CV) models, which have shown good results in public datasets. However, tr...
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Open Access (DOAJ)
DOI: 10.3390/jmse13030599
Zhiwen Xiong, Yuanchun Li • Scientific Reports
(2026)
Abstract Salient object detection (SOD) plays a crucial role in computer vision by mimicking human visual attention to identify and segment the most prominent objects in a scene. The advent of depth sensing technologies has propelled RGB-D ...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-56237-7