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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2952432
Abstract: Action recognition is an important research direction in computer vision, which has worldwide applications, such as video surveillance, human-robot interaction and so on. Due to the influence of complex background and multi-angle changes, accurate recognition…
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Keywords:
pyramid pooling;
edge aware;
computer;
motion recognition ... See more keywords
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Published in 2024 at "IEEE Photonics Journal"
DOI: 10.1109/jphot.2024.3502117
Abstract: Efficient and high-fidelity polarization demosaicking is critical for the industrial applications of division of focal plane (DoFP) polarization imaging systems. However, existing methods often struggle to balance speed, accuracy, and complexity. This study introduces a…
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Keywords:
low cost;
edge aware;
inter channel;
polarization demosaicking ... See more keywords
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Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3435425
Abstract: Accurate farmland instance segmentation is a fundamental task in smart agriculture. Currently, extracting farmland edges as constraint information for farmland segmentation has become the mainstream solution. However, in actual farmland segmentation, single farmland may exhibit…
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Keywords:
instance segmentation;
segmentation;
edge aware;
farmland instance ... See more keywords
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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3627129
Abstract: Airport runway segmentation in spaceborne SAR imagery is critical for aircraft localization and holds strategic importance in military reconnaissance, aviation safety, and emergency response. However, existing semantic segmentation methods based on artificial neural networks (ANNs)…
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Keywords:
time;
segmentation;
edge aware;
eas unet ... See more keywords
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Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3005973
Abstract: Most of the existing superpixel generation methods are based on local iterative clustering. However, such methods have the following shortcomings: 1) these methods require several iterations and the number of iterations is difficult to determine…
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Keywords:
superpixel generation;
iteration;
one iteration;
edge aware ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3130920
Abstract: Due to the existence of speckle noise, background clutter, backscattering points, and geometric distortion of some targets in synthetic aperture radar (SAR) images, extracting multiscale and multilocation targets accurately is still a great challenge. To…
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Keywords:
sar;
edge aware;
detection;
cross coupling ... See more keywords
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Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3130014
Abstract: The learning-based methods have recently shown their advantages in the image dehazing task. However, most existing learning-based methods do not pay much attention to the restoration in the edges of the hazy image, resulting in…
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Keywords:
edge aware;
aware network;
image;
edge ... See more keywords
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Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2020.3020800
Abstract: In this paper, we propose a geometric neural network with edge-aware refinement (GeoNet++) to jointly predict both depth and surface normal maps from a single image. Building on top of two-stream CNNs, GeoNet++ captures the…
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Keywords:
surface;
surface normals;
edge aware;
depth ... See more keywords
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Published in 2025 at "Computer Graphics Forum"
DOI: 10.1111/cgf.70262
Abstract: Decomposing environmental lighting and materials is challenging as they are tightly intertwined and integrated over the hemisphere. In order to precisely decouple them, the lighting representation must represent general image features such as object boundaries…
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Keywords:
linearly transformed;
inverse rendering;
edge aware;
transformed cosines ... See more keywords
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Published in 2025 at "Optics Express"
DOI: 10.1364/oe.573433
Abstract: Snapshot hyperspectral imagers enable the acquisition of rich spatial and spectral information in a single exposure, making them a powerful tool for a wide range of high-speed applications. A prominent class of snapshot hyperspectral imaging…
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Keywords:
hyperspectral acquisition;
edge aware;
reconstruction;
acquisition ... See more keywords
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Published in 2024 at "Applied Sciences"
DOI: 10.3390/app15010057
Abstract: In the era of widespread digital image sharing on social media platforms, deep-learning-based watermarking has shown great potential in copyright protection. To address the fundamental trade-off between the visual quality of the watermarked image and…
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Keywords:
image;
edge aware;
dual task;
social network ... See more keywords