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Academic Articles & Research Papers
Showing 20 of 813 academic articles
Long Zhang, Chuang Zhu, YueWei Wu, Yang Yang et al. • IET Image Processing
(2021)
Abstract Ischemic stroke is the most common stroke and the leading cause of disability and death in the world. Computed tomography (CT) is a popular and economical diagnostic device for the stroke, However the ischemic stroke lesions are no...
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Open Access (DOAJ)
DOI: 10.1049/ipr2.12267
Xuefei Yu, Jinan Gu, Zedong Huang, Zhijie Zhang • PLoS ONE
(2022)
Recent stereo matching methods, especially end-to-end deep stereo matching networks, have achieved remarkable performance in the fields of autonomous driving and depth sensing. However, state-of-the-art stereo algorithms, even with the deep...
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Open Access (DOAJ)
Jialiang Wang, Jianxu Luo, Bin Liu, Rui Feng et al. • IET Computer Vision
(2020)
In this work, we develop a computer‐aided retinal image screening system that can perform automated diabetic retinopathy (DR) grading and DR lesion detection in retinal fundus images. We propose a modified object‐detection method for this t...
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Open Access (DOAJ)
DOI: 10.1049/iet-cvi.2018.5508
Julio C. S. Jacques, Soraia Raupp Musse, Cláudio R. Jung • IEEE Signal Processing Magazine
(2010)
This article presents a survey on crowd analysis using computer vision techniques, covering different aspects such as people tracking, crowd density estimation, event detection, validation, and simulation. It also reports how related the ar...
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Open Access
DOI: https://doi.org/10.1109/msp.2010.937394
Meng-Hao Guo, Tian-Xing Xu, Jiangjiang Liu, Zheng-Ning Liu et al. • Computational Visual Media
(2022)
Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into computer vision with the aim of imitating this aspect of the human visual system. Such an ...
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DOI: https://doi.org/10.1007/s41095-022-0271-y
Qun Zhao, Nisuo Du, Zhi Ouyang, Ning Kang et al. • IET Image Processing
(2021)
Abstract Person re‐identification (Re‐ID) is in significant demand for intelligent security and single or multiple‐target tracking. However, there are issues in the person Re‐ID tasks, such as sharp decline in cross‐data sets detection accu...
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Open Access (DOAJ)
DOI: 10.1049/ipr2.12292
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
Olutosin Ajibola Ademola, Eduard Petlenkov, Mairo Leier • IEEE Access
(2023)
Scene texts serve as valuable information for humans and autonomous systems to make informed decisions. Processing scene texts poses significant difficulties for computer systems due to several factors, primarily due to variations in image ...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3283931
Dakang Guo, Jiatao Wang, Zeyuan Lin, Youfu Liu et al. • Poultry Science
(2026)
In the stereoscopic cage-rearing system, monitoring the individual egg production of laying ducks is essential for identifying low-yield individuals and optimizing breeding management. To overcome the high deployment cost of multi-sensor mo...
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Open Access (DOAJ)
DOI: 10.1016/j.psj.2026.106479
Feng Xiong, Jintao Wang, Guohua Zhang, Xueming Shi et al. • Advances in Civil Engineering
(2024)
In the construction of the civil engineering infrastructure, the noise and vibration are affected by the geological conditions, adopting specific construction techniques based on the geological conditions is of great significance in suppres...
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Open Access (DOAJ)
DOI: 10.1155/2024/3599911
Ze Si, Dongmei Fu, Yang Liu, Zhicheng Huang • IET Image Processing
(2021)
Abstract Diabetic retinopathy (DR) is the main reason that causes preventable blindness. Hard exudate is one of the earliest signs of diabetic retinopathy. Precise detection of hard exudate is helpful for the early diagnosis of diabetic ret...
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Open Access (DOAJ)
DOI: 10.1049/ipr2.12007
Wenan Yuan • Data
(2024)
As one of the most important topics in contemporary computer vision research, object detection has received wide attention from the precision agriculture community for diverse applications. While state-of-the-art object detection frameworks...
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Open Access (DOAJ)
DOI: 10.3390/data9020036
Faisal Mehmood, Shabir Ahmad, Taeg Keun Whangbo • Mathematics
(2023)
Deep learning is a sub-branch of artificial intelligence that acquires knowledge by training a neural network. It has many applications in the field of banking, automobile industry, agriculture, and healthcare industry. Deep learning has pl...
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Open Access (DOAJ)
DOI: 10.3390/math11061360
Bazzanini L., Angora G., Bergamini P., Meneghetti M. et al. • Astronomy & Astrophysics
(2026)
Strong gravitational lensing (SL) by galaxy clusters is a powerful probe of their inner mass distribution and a key test bed for cosmological models. However, the detection of SL events in wide-field surveys such as Euclid requires robust a...
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Open Access (DOAJ)
DOI: 10.1051/0004-6361/202557590
Jie Lu, Wenpeng Zhang, Yongxiang Liu, Wei Yang • Remote Sensing
(2022)
The fine state of targets can be represented by the extracted micro-Doppler (m-D) components from the radar echo. However, current methods do not consider the specialty of the m-D components, and their performance with non-sinusoidal compon...
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Open Access (DOAJ)
DOI: 10.3390/rs14194764
Wen-Huang Cheng, Sijie Song, Chieh-Yun Chen, Shintami Chusnul Hidayati et al. • ACM Computing Surveys
(2021)
Fashion is the way we present ourselves to the world and has become one of the world’s largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention from computer vision researchers in recent years. Given the rap...
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Open Access
DOI: https://doi.org/10.1145/3447239
Xia Zhao, Limin Wang, Yufei Zhang, Xuming Han et al. • Artificial Intelligence Review
(2024)
Abstract In computer vision, a series of exemplary advances have been made in several areas involving image classification, semantic segmentation, object detection, and image super-resolution reconstruction with the rapid development of dee...
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DOI: https://doi.org/10.1007/s10462-024-10721-6
Jürgen Soom, Isabel Boavida, Renan Leite, Maria João Costa et al. • Ecological Informatics
(2025)
The need for efficient approaches to track and assess fish behavior in rivers impacted by hydropeaking is increasing. Nonetheless, employing an automated camera system for underwater monitoring requires that the algorithms function under hi...
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Open Access (DOAJ)
DOI: 10.1016/j.ecoinf.2025.103196
Pedro Teixidó, Juan Antonio Gómez-Galán, Rafael Caballero, Francisco J. Pérez-Grau et al. • Sensors
(2021)
Perimeter detection systems detect intruders penetrating protected areas, but modern solutions require the combination of smart detectors, information networks and controlling software to reduce false alarms and extend detection range. The ...
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Open Access (DOAJ)
DOI: 10.3390/s21217379
Gérard Medioni, Sing Bing Kang (2004)
The state-of-the art in computer vision: theory, applications, and programmingWhether you're a working engineer, developer, researcher, or student, this is your single authoritative source for today's key computer vision innovations. Gerard...
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