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Published in 2020 at "Digital Communications and Networks"
DOI: 10.1016/j.dcan.2020.05.004
Abstract: Abstract Most of the intelligent surveillances in the industry only care about the safety of the workers. It is meaningful if the camera can know what, where and how the worker has performed the action…
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Keywords:
detection;
weight line;
topological structures;
action detection ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2019.2961789
Abstract: The Online Action Detection (OAD) problem needs to be revisited. Unlike traditional offline action detection approaches, where the evaluation metrics are clear and well established, in the OAD setting we find very few works and…
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Keywords:
action detection;
evaluation;
protocol;
online action ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3104226
Abstract: Temporal action detection is a challenging task in video understanding, due to the complexity of the background and rich action content impacting high-quality temporal proposals generation in untrimmed videos. Capsule networks can avoid some limitations…
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Keywords:
action detection;
temporal action;
dynamic routing;
action ... See more keywords
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Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2025.3558939
Abstract: Spatiotemporal action detection localizes the action instances along both spatial and temporal dimensions, by identifying action start time and end time, action class, and object (e.g., actor) bounding boxes. It faces two primary challenges: 1)…
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Keywords:
spatiotemporal action;
action detection;
coarse fine;
action ... See more keywords
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Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3089361
Abstract: Weakly supervised temporal action detection has better scalability and practicability than fully supervised action detection in reality deployment. However, it is difficult to learn a robust model without temporal action boundary annotations. In this paper,…
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Keywords:
action detection;
temporal action;
structure;
action ... See more keywords
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Published in 2021 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.2999184
Abstract: Despite remarkable progress, temporal action detection is still limited for real application due to the great amount of manual annotations. This issue motivates interest in addressing this task under weak supervision, namely, locating the action…
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Keywords:
action detection;
temporal action;
action;
knowledge ... See more keywords
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Published in 2021 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.3014555
Abstract: Inspired by Faster R-CNN, current state-of-the-art region-based action detection approaches like R-C3D and TAL-Net creatively proposed Temporal Region Proposal Network (TRPN) to generate proposals, which greatly improved action detection accuracy. However, since smooth L1 loss…
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Keywords:
temporal regions;
network;
action detection;
temporal locality ... See more keywords
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Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3050069
Abstract: Action detection plays an important role in video understanding and attracts considerable attention in the last decade. However, current action detection methods are mainly based on visible videos, and few of them consider scenes with…
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Keywords:
action detection;
attention;
stream;
action ... See more keywords
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Published in 2024 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2023.3313258
Abstract: Online action detection plays a vital role in video action understanding and can be widely used in various video analysis applications. This task aims to detect actions at the current moment within long untrimmed video…
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Keywords:
detection;
clip mining;
video;
action detection ... See more keywords
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Published in 2024 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2025.3590899
Abstract: Analyzing student actions is an important and challenging task in educational research. Existing efforts have been hampered by the lack of accessible datasets to capture the nuanced action dynamics in classrooms. In this paper, we…
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Keywords:
student;
baseline;
action detection;
sav dataset ... See more keywords
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Published in 2025 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2025.3594178
Abstract: Temporal action detection aims to predict temporal boundaries and category labels of actions in untrimmed videos. In the past years, many weakly supervised temporal action detection methods have been proposed to relieve the annotation cost…
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Keywords:
video;
consistency;
weakly supervised;
action detection ... See more keywords