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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 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