Results 21 to 30 of about 36,642 (227)
Depth‐based end‐to‐end deep network for human action recognition
IET Computer Vision, 2019 Recognition of human actions from videos can be improved if depth information is available. Depth information certainly helps in segregating foreground motion from the background.
Sachin Chaudhary, Subrahmanyam Murala
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IEEE Access, 2022 The recent increasing demand of Silicon-on-Chip devices has triggered a significant impact on the industrial processes of leading semiconductor companies.
Riccardo Emanuele Sarpietro +7 more
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The Challenges of HTR Model Training: Feedback from the Project Donner le gout de l'archive a l'ere numerique [PDF]
Journal of Data Mining and Digital Humanities, 2023 The arrival of handwriting recognition technologies offers new possibilities for research in heritage studies. However, it is now necessary to reflect on the experiences and the practices developed by research teams.
Beatrice Couture +3 more
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Computer Analysis of Architecture Using Automatic Image Understanding [PDF]
Journal of Data Mining and Digital Humanities, 2019 In the past few years, computer vision and pattern recognition systems have been becoming increasingly more powerful, expanding the range of automatic tasks enabled by machine vision.
Fan Wei, Yuan Li, Lior Shamir
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Gaussian guided frame sequence encoder network for action quality assessment
Complex & Intelligent Systems, 2022 Can a computer evaluate an athlete’s performance automatically? Many action quality assessment (AQA) methods have been proposed in recent years. Limited by the randomness of video sampling and the simple strategy of model training, the performance of the
Ming-Zhe Li +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 To reconstruct images with high spatial resolution and high spectral resolution, one of the most common methods is to fuse a low-resolution hyperspectral image (HSI) with a high-resolution (HR) multispectral image (MSI) of the same scene.
Shuaiqi Liu +5 more
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UnShadowNet: Illumination Critic Guided Contrastive Learning for Shadow Removal
IEEE Access, 2023 Shadows are frequently encountered natural phenomena that significantly hinder the performance of computer vision perception systems in practical settings, e.g., autonomous driving.
Subhrajyoti Dasgupta +6 more
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FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
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Dapagliflozin prevents methylglyoxal‐induced retinal cell death in ARPE‐19 cells
FEBS Open Bio, EarlyView.Diabetic macular oedema is a diabetes complication of the eye, which may lead to permanent blindness. ARPE‐19 are human retinal cells used to study retinal diseases and potential therapeutics. Methylglyoxal is a compound increased in uncontrolled diabetes due to elevated blood glucose.
Naina Trivedi +7 more
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Automatic Ship Classification from Optical Aerial Images with Convolutional Neural Networks
Remote Sensing, 2018 The automatic classification of ships from aerial images is a considerable challenge. Previous works have usually applied image processing and computer vision techniques to extract meaningful features from visible spectrum images in order to use them as ...
Antonio-Javier Gallego +2 more
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