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Published in 2020 at "Pattern Recognition"
DOI: 10.1007/978-3-030-49076-8_24
Abstract: The automatic recognition of human activities from video data is being led by spatio-temporal Convolutional Neural Networks (3D CNNs), in particular two-stream architectures such as I3D that reports the best accuracy so far. Despite the…
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Keywords:
activity recognition;
two stream;
recognition;
activity ... See more keywords
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Published in 2018 at "Machine Vision and Applications"
DOI: 10.1007/s00138-018-0915-1
Abstract: Person re-identification (re-id) with images is very useful in video surveillance to find specific targets. However, it is challenging due to the complex variations of human poses, camera viewpoints, lighting, occlusion, resolution, background clutter and…
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Keywords:
multi task;
deep neural;
task;
person identification ... See more keywords
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Published in 2020 at "Machine Vision and Applications"
DOI: 10.1007/s00138-020-01086-1
Abstract: Style transfer is to render given image contents in given styles, and it has an important role in both computer vision fundamental research and industrial applications. Following the success of deep learning-based approaches, this problem…
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Keywords:
style;
content style;
style transfer;
two stream ... See more keywords
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Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4953-x
Abstract: In this paper, we design and implement two new stream ciphers based on Pseudo Chaotic Number Generators (PCNGs) which integrate discrete chaotic maps, namely, Piecewise Linear Chaotic Map (PWLCM), Skewtent and Logistic map. They are…
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Keywords:
stream ciphers;
stream;
design analysis;
analysis two ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.11.068
Abstract: Abstract This paper investigates how to integrate the complementary information from RGB and thermal (RGB-T) sources for object tracking. We propose a novel Convolutional Neural Network (ConvNet) architecture, including a two-stream ConvNet and a FusionNet,…
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Keywords:
information;
object tracking;
fusing two;
convolutional neural ... See more keywords
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.09.086
Abstract: Abstract In order to improve recognition accuracy, a two-stream framework which incorporates deep-learned stream and hand-crafted stream is proposed. Firstly, a discriminant nonlinear feature fusion method is proposed, which introduces the category structure information and…
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Keywords:
discriminant deep;
stream;
stream framework;
deep descriptor ... See more keywords
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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.05.034
Abstract: Abstract Long-wave infrared(thermal) images distinguish the target and background according to different thermal radiation. They are insensitive to light conditions, and cannot present details obtained from reflected light. By contrast, the visible images have high…
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Keywords:
visible images;
two stream;
images fusion;
infrared visible ... See more keywords
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Published in 2017 at "Physics of Plasmas"
DOI: 10.1063/1.4974332
Abstract: During the past decade, the generation of energetic ion beams by high-intensity laser-plasma interactions has attracted much interest due to their many applications in high energy density physics and fast ignition. The interaction of the…
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Keywords:
quasi monoenergetic;
stream instability;
fast ignition;
ignition ... See more keywords
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Published in 2019 at "Physics of Plasmas"
DOI: 10.1063/1.5101001
Abstract: We study electrostatic two-stream instability using a separated spin quantum hydrodynamic model in magnetized degenerate collisionless electron-ion plasma. We report that the separate spin evolution gives rise to some new real modes together with unstable…
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Keywords:
spin polarization;
two stream;
stream instability;
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Published in 2023 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/acd01e
Abstract: Research aimed at diagnosing rolling bearing faults is of great significance to the health management of equipment. In order to solve the problem that rolling bearings are faced with variable operating conditions and the fault…
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Keywords:
fusion;
feature fusion;
two stream;
model ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3025165
Abstract: In this article, a novel two-stream convolutional neural network based on gradient image is performed to effectively classify and identify aluminum profiles defects for the first time. Recent feature fusion methods based on two-stream network…
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Keywords:
two stream;
stream convolutional;
image;
network ... See more keywords