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Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2681804
Abstract: In vehicular networks, safety applications allow people to avoid hazardous situations based on the state of the vehicles in their proximity. Such proximity awareness is realized by allowing each vehicle to collect safety messages called…
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Keywords:
network;
safety;
aware network;
safety applications ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3584795
Abstract: The crowd density estimation has recently attracted attention from various industries. For efficient computing in the real-time applications, this article proposes a lightweight relation-aware network based on self-contrastive distillation for red–green–blue, thermal (RGB-T) crowd counting.…
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Keywords:
lightweight relation;
aware network;
crowd;
relation aware ... See more keywords
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Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3025128
Abstract: Due to the deteriorated quality of feature in the propagation process of the neural network, it may be hard for traditional detector to identify a small object by just utilizing information within one region proposal.…
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Keywords:
relation aware;
graph based;
network;
aware network ... See more keywords
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2
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 2025 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2025.3603828
Abstract: Colonoscopy images exhibit multi-frequency features, with polyp boundaries residing in a mid-frequency range, which are critical for accurate polyp segmentation. However, current deep learning models tend to prioritize low-frequency features, leading to reduced segmentation performance.…
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Keywords:
aware network;
segmentation;
boundary aware;
polyp segmentation ... See more keywords
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Published in 2020 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2020.2968300
Abstract: Research on new multimedia stream coding, and transmission mechanism and transceiver structure design has been motivated by the increasing demand for low-latency applications, as well as the development of new multimedia devices, such as dynamic…
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Keywords:
dynamic vision;
function aware;
network coding;
aware network ... See more keywords
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1
Published in 2019 at "IEEE Transactions on Broadcasting"
DOI: 10.1109/tbc.2019.2901402
Abstract: Media use cases for emergency services require mission-critical levels of reliability for the delivery of media-rich services, such as video streaming. With the upcoming deployment of the fifth generation (5G) networks, a wide variety of…
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Keywords:
media use;
aware network;
use cases;
qos aware ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3132102
Abstract: Video deblurring is a challenging task since the blur is caused by camera shake, object motions, etc. The success of the state-of-the-art methods stems mainly from exploiting the temporal information of neighboring frames through alignment.…
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Keywords:
aware network;
video;
video deblurring;
occlusion aware ... See more keywords
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Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2025.3563267
Abstract: Natural language tracking aims to locate the position of a target specified by a natural language description. Existing methods are trained on vision-language datasets with a small number of language descriptions, which may lead to…
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Keywords:
aware network;
module;
language tracking;
natural language ... See more keywords
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Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3565613
Abstract: Hyperspectral images (HSIs) often suffer from various noises, such as Gaussian noise, stripe noise, impulse noise, and deadlines due to the influence of sensors and external environments. These noises significantly degrade the quality of HSIs…
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Keywords:
aware network;
mamba;
network combining;
transformer ... See more keywords
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Published in 2024 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2024.3377280
Abstract: Semantic segmentation, which aims to accurately identify each pixel, is a meaningful and challenging task. Recently, we witness a strong tendency to improve model efficiency in low-computing applications. However, most real-time methods ignore hierarchical features…
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Keywords:
aware network;
real time;
segmentation;
hierarchical semantic ... See more keywords