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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3183789
Abstract: Weakly supervised temporal action localization (WTAL) aims to localize temporal intervals of actions in an untrimmed video using only video-level action labels. Although the learning of the background is an important issue in WTAL, most…
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Keywords:
supervised temporal;
weakly supervised;
action localization;
background ... See more keywords
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2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3265595
Abstract: The tremendous progress of deep convolution neural networks has shown promising results on the classification of various sports activities. However, the accurate localization of a particular sports event or activity in a continuous video stream…
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Keywords:
localization;
divenet;
action localization;
action ... 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.2022.3201540
Abstract: Weakly supervised temporal action localization (WTAL) aims to localize actions in untrimmed videos with only weak supervision information (e.g., video-level labels). Most existing models handle all input videos with a fixed temporal scale. However, such…
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Keywords:
action localization;
slow motion;
temporal action;
motion ... See more keywords
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0
Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2922108
Abstract: We address the challenging problem of weakly supervised temporal action localization from unconstrained web videos, where only the video-level action labels are available during training. Inspired by the adversarial erasing strategy in weakly supervised semantic…
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Keywords:
supervised temporal;
temporal action;
action localization;
action ... See more keywords
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Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3016486
Abstract: Most of the current action localization methods follow an anchor-based pipeline: depicting action instances by pre-defined anchors, learning to select the anchors closest to the ground truth, and predicting the confidence of anchors with refinements.…
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Keywords:
action instances;
action localization;
action;
anchor free ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3163544
Abstract: Humans have the inherent advantage of understanding action intention, while it is an enormous challenge to train the machine to localize unintentional action in videos due to the lack of reliable annotations for stable training.…
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Keywords:
action localization;
action;
probabilistic temporal;
unintentional action ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3166278
Abstract: How do humans localize unintentional action like “ A boy falls down while playing skateboard ”? Cognitive science shows that an 18-month-old baby understands the intention by observing the actions and comparing the feedback. Motivated…
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Keywords:
action localization;
action;
counterfactual examples;
unintentional action ... See more keywords
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3
Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3243525
Abstract: Comprehensive understanding of video content requires both spatial and temporal localization. However, there lacks a unified video action localization framework, which hinders the coordinated development of this field. Existing 3D CNN methods take fixed and…
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Keywords:
localization;
action localization;
framework;
video action ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3244411
Abstract: Weakly supervised temporal action localization (WS-TAL) aims to identify the time intervals corresponding to actions of interest in untrimmed videos with video-level weak supervision. For most existing WS-TAL methods, two commonly encountered challenges are under-localization…
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Keywords:
supervised temporal;
localization;
weakly supervised;
action localization ... See more keywords
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Published in 2020 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2019.2959977
Abstract: Temporal action localization aims to accurately localize and recognize all possible action instances from an untrimmed video automatically. Most existing methods perform this task by first generating a set of proposals and then recognizing each…
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Keywords:
action localization;
action;
temporal action;
relation attention ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3050067
Abstract: We propose a novel method of exploiting informative video segments by learning segment weights for temporal action localization in untrimmed videos. Informative video segments represent the intrinsic motion and appearance of an action, and thus…
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Keywords:
video;
action localization;
informative video;
video segments ... See more keywords