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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3439702
Abstract: Aiming at the problem that the multi-object tracking algorithm is difficult to accurately design the object feature model and data association algorithm in the process of unmanned vehicle autonomous driving, a multi-object tracking algorithm based…
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Keywords:
feature model;
algorithm;
multi object;
spatiotemporal feature ... See more keywords
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1
Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3211200
Abstract: Despite a lot of work in excavating the emotion descriptor from the hidden information, learning an effective spatiotemporal feature is a challenging issue for micro-expression recognition due to the fact that the micro-expression has a…
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Keywords:
micro expression;
spatiotemporal feature;
feature;
expression recognition ... See more keywords
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Published in 2024 at "IEEE MultiMedia"
DOI: 10.1109/mmul.2024.3428933
Abstract: Video summarization (VS) is crucial process for compacting video content into a concise and informative representation, enhancing accessibility and the user experience. This work introduces a new approach based on spatiotemporal features derived from long…
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Keywords:
video summarization;
video;
fusion video;
feature fusion ... See more keywords
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Published in 2023 at "IEEE Transactions on Broadcasting"
DOI: 10.1109/tbc.2022.3192997
Abstract: In this paper, we propose a pyramidal spatiotemporal feature hierarchy (PSFH)-based no-reference (NR) video quality assessment (VQA) method using transfer learning. First, we generate simulated videos by a generative adversarial network (GAN)-based image restoration model.…
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Keywords:
quality;
feature hierarchy;
feature;
video quality ... See more keywords
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Published in 2019 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2018.2868262
Abstract: The recently developed video multi-method assessment fusion (VMAF) framework integrates multiple quality-aware features to accurately predict the video quality. However, the VMAF does not yet exploit important principles of temporal perception that are relevant to…
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Keywords:
video;
quality;
fusion;
spatiotemporal feature ... See more keywords
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Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3072311
Abstract: Detecting small low-contrast targets in the airspace is an essential and challenging task. This article proposes a simple and effective data-driven support vector machine (SVM)-based spatiotemporal feature fusion detection method for small low-contrast targets. We…
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Keywords:
low contrast;
feature;
feature fusion;
spatiotemporal feature ... See more keywords
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Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3619660
Abstract: The phase-based method has garnered significant attention due to its high sensitivity in measuring microvibrations of civil structures from video. However, the sensor noise can cause spurious phase variations, obscuring valid vibration signals and reducing…
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Keywords:
structural vibration;
phase based;
spatiotemporal feature;
vibration ... See more keywords
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Published in 2024 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2024.3400754
Abstract: Automatic Modulation Classification (AMC) is a crucial task in the field of wireless communication, allowing for the identification of the modulation scheme of a received radio signal without prior knowledge of the communication system. Recently,…
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Keywords:
automatic modulation;
modulation classification;
spatiotemporal feature;
feature ... See more keywords
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Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0318036
Abstract: The social amoeba Dictyostelium discoideum is a standard model system for studying cell motility and formation of biological patterns. D. discoideum cells form protrusions and migrate via cytoskeletal reorganization driven by coordinated waves of actin…
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Keywords:
feature learning;
learning actin;
topography;
type ... See more keywords
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Published in 2025 at "Bioengineering"
DOI: 10.3390/bioengineering12101112
Abstract: Cough is a key symptom reflecting respiratory health, with its frequency and pattern providing valuable insights into disease progression and clinical management. Objective and reliable cough detection systems are therefore of broad significance for healthcare…
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Keywords:
radar;
cough detection;
spatiotemporal feature;
fmcw radar ... See more keywords