Results 11 to 20 of about 2,121,191 (336)
Benchmarking Denoising Algorithms with Real Photographs [PDF]
Computer Vision and Pattern Recognition, 2017 Lacking realistic ground truth data, image denoising techniques are traditionally evaluated on images corrupted by synthesized i.i.d. Gaussian noise.
Plötz, Tobias, Roth, Stefan
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The visual vernacular: embracing photographs in research
Perspectives on Medical Education, 2021 The increasing use of digital images for communication and interaction in everyday life can give a new lease of life to photographs in research. In contexts where smartphones are ubiquitous and many people are “digital natives”, asking participants to ...
Jennifer Cleland, Anna MacLeod
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Toward Convolutional Blind Denoising of Real Photographs [PDF]
Computer Vision and Pattern Recognition, 2018 While deep convolutional neural networks (CNNs) have achieved impressive success in image denoising with additive white Gaussian noise (AWGN), their performance remains limited on real-world noisy photographs. The main reason is that their learned models
Shi Guo +4 more
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StegaStamp: Invisible Hyperlinks in Physical Photographs [PDF]
Computer Vision and Pattern Recognition, 2019 Printed and digitally displayed photos have the ability to hide imperceptible digital data that can be accessed through internet-connected imaging systems.
Matthew Tancik, B. Mildenhall, Ren Ng
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A Corpus for Reasoning about Natural Language Grounded in Photographs [PDF]
Annual Meeting of the Association for Computational Linguistics, 2018 We introduce a new dataset for joint reasoning about natural language and images, with a focus on semantic diversity, compositionality, and visual reasoning challenges.
Alane Suhr +4 more
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Detection of signs of disease in external photographs of the eyes via deep learning [PDF]
Nature Biomedical Engineering, 2020 Retinal fundus photographs can be used to detect a range of retinal conditions. Here we show that deep-learning models trained instead on external photographs of the eyes can be used to detect diabetic retinopathy (DR), diabetic macular oedema and poor ...
Boris Babenko +12 more
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Neurology, 2021 Objective To evaluate the performance of a deep learning system (DLS) in classifying the severity of papilledema associated with increased intracranial pressure on standard retinal fundus photographs.
C. Vasseneix +13 more
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Diagnostics, 2021 The study sought to assess whether the soft tissue facial profile measurements of direct Cone Beam Computed Tomography (CBCT) and wrapped CBCT images of non-standardized facial photographs are accurate compared to the standardized digital photographs. In
M. S. Alhammadi +8 more
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Everybody’s Child: An Exploration of Images of Children that Shocked the World
Genealogy, 2020 Despite the passivity and vulnerability of childhood as a social construction, the image of the child is both powerful and transformative. Such is the power of images of the child they can and have shaped the history of nation states, shifted policy and ...
Sarah Richards
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The Photographer Photographed: A Conversation with Jean Mohr
Imaginations: Journal of Cross-Cultural Image Studies, 2022 The Swiss photographer Jean Mohr, who died in November 2018 at the age of 93, is well known for his long career documenting the plight of the displaced and dispossessed. Especially noteworthy are his collaborations with major intellectual figures, through which he experimented with the construction of visual narratives.
openaire +3 more sources