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Efficient Hybrid Supervision for Instance Segmentation in Aerial Images
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Promoting a city-river balance within neighborhoods in transition along the Rhone
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1764
Antiprotozoal Effect of Snake Venoms and Their Fractions: A Systematic Review
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1765
Efficient People Counting in Thermal Images: The Benchmark of Resource-Constrained Hardware
Published 2022-01-01“…The vision-based people-counting is a well-known area of computer vision research. In addition, with rapid development in the artificial intelligence and IoT sectors, power-limited and resource-constrained devices like single-board computers or microcontrollers are able to run even such sophisticated algorithms as neural networks. …”
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1766
Human iPSC- and Primary-Retinal Pigment Epithelial Cells for Modeling Age-Related Macular Degeneration
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1767
Attention-Based Monocular Depth Estimation Considering Global and Local Information in Remote Sensing Images
Published 2024-02-01“…Monocular depth estimation using a single remote sensing image has emerged as a focal point in both remote sensing and computer vision research, proving crucial in tasks such as 3D reconstruction and target instance segmentation. …”
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Optical-Quality Analysis and Defocus-Curve Simulations of a Novel Hydrophobic Trifocal Intraocular Lens
Published 2023-12-01“…Apple Center for Vision Research, Department of Ophthalmology, University Hospital Heidelberg, Heidelberg, 69120, GermanyCorrespondence: Grzegorz Łabuz, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 400, Heidelberg, 69120, Germany, Tel +49 6221 56-6613, Fax +49 6221 56-8229, Email Grzegorz.Labuz@med.uni-heidelberg.dePurpose: The optical function of a novel refractive-diffractive trifocal intraocular lens (IOL) was tested in vitro to provide preclinical metrics that predict postoperative performance and may guide patient selection.Methods: Fundamental optical characteristics of a trifocal hydrophobic-acrylic IOL with a C-loop haptic configuration (AT ELANA 841P, Carl Zeiss Meditec) were assessed using a fully automated optical test device under both monochromatic and polychromatic conditions combined with increased or compensated spherical aberration (SA). …”
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DNA double-strand break-free CRISPR interference delays Huntington’s disease progression in mice
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A novel face recognition method based on fusion of LBP and HOG
Published 2021-12-01“…Abstract As one of the hot topics in the field of computer vision research, face recognition technology has received significant attention due to its potentiality for a wide range of applications in government as well as commercial purposes. …”
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Next-Generation Nanomedicine Approaches for the Management of Retinal Diseases
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Learning to solve problems in computer vision with synthetic data
Published 2019Get full text
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1774
What and Where: A Bayesian inference theory of visual attention
Published 2011Get full text
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VisionBlocks: A Social Computer Vision Framework
Published 2013“…We discuss different application scenarios where such study will be useful and argue its benefit for computer vision research community. We believe that enabling users with ability to create application will be first step towards creating social computer vision applications and platform.…”
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Assessing the Quality of Actions
Published 2014“…While promising, our method is still a long way to rivaling the performance of expert judges, indicating that there is significant opportunity in computer vision research to improve on this difficult yet important task.…”
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Effects of stimulus spatial resolution on SSVEP responses under overt and covert attention
Published 2021“…There is a promising potential to employ the SSVEP paradigm in with vision research and clinical use, for instance, for visual field assessment. …”
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Conference Paper -
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Experimental study on scene recognition and multiple road lane marks detection based on machine learning methods
Published 2018“…Semantic segmentation has been a popular topic in the field of computer vision research. The main purpose of semantic segmentation is to label pixels of interest in an image with corresponding categories of the objects. …”
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Assessment tool for visual perception deficits in cerebral visual impairment: development and normative data of typically developing children
Published 2019“…</p><br/> <p><strong>Method:</strong><br/> Test development reflected cross‐talk between vision research and clinical relevance for CVI. The Children's Visual Impairment Test for 3‐ to 6‐year‐olds (CVIT 3–6) includes 14 subtests covering four domains of visual perception: Object Recognition, Degraded Object Recognition, Motion Perception, and Global–Local Processing. …”
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A comprehensive review towards segmentation and detection of cancer cell and tumor for dynamic 3D reconstruction
Published 2020“…Overall reviews proposed in this paper have been extensively studied in various research papers which can significantly contribute to computer vision research and can be potential for future development and direction for future research.…”
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