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   Articles with "based action" as a keyword



Wilson line-based action for gluodynamics at the loop level

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recommendations! Published in 2024 at "Journal of High Energy Physics"

DOI: 10.1007/jhep11(2024)073

Abstract: We develop quantum corrections to the Wilson line-based action which we recently derived through a transformation that eliminates triple gluon vertices from the Yang-Mills action on the light-cone. The action efficiently computes high multiplicity tree-level… read more here.

Keywords: line based; based action; wilson line; action ... See more keywords

Triplet attention multiple spacetime-semantic graph convolutional network for skeleton-based action recognition

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recommendations! Published in 2022 at "Applied Intelligence"

DOI: 10.1007/s10489-021-02370-x

Abstract: Skeleton-based action recognition has recently attracted widespread attention in the field of computer vision. Previous studies on skeleton-based action recognition are susceptible to interferences from redundant video frames in judging complex actions but ignore the… read more here.

Keywords: action recognition; spacetime semantic; attention; skeleton based ... See more keywords

ConvNets-based action recognition from skeleton motion maps

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recommendations! Published in 2019 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-019-08261-1

Abstract: With the advance of deep learning, deep learning based action recognition is an important research topic in computer vision. The skeleton sequence is often encoded into an image to better use Convolutional Neural Networks (ConvNets)… read more here.

Keywords: action recognition; skeleton motion; based action; action ... See more keywords

Slavery from Space: Demonstrating the role for satellite remote sensing to inform evidence-based action related to UN SDG number 8

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recommendations! Published in 2018 at "Isprs Journal of Photogrammetry and Remote Sensing"

DOI: 10.1016/j.isprsjprs.2018.02.012

Abstract: The most recent Global Slavery Index estimates that there are 40.3 million people enslaved globally. The UN’s Agenda 2030 for Sustainable Development Goal number 8, section 8.7 specifically refers to the issue of forced labour:… read more here.

Keywords: remote sensing; number; slavery; evidence based ... See more keywords

Convolutional relation network for skeleton-based action recognition

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recommendations! Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.08.043

Abstract: Abstract In the skeleton-based action recognition, mining information from the joints and limbs of human skeletons plays a key role. Previous studies treated the skeleton data as vectors and could not explicitly capture the joint… read more here.

Keywords: action recognition; skeleton based; network; skeleton ... See more keywords
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Submentalizing Cannot Explain Belief-Based Action Anticipation in Apes

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recommendations! Published in 2017 at "Trends in Cognitive Sciences"

DOI: 10.1016/j.tics.2017.06.011

Abstract: We presented apes with a nonsocial control of our previously published study [11] using identical methods except that, following [6] (Figure I), stimuli were animated versions in which the human actor was swapped out for… read more here.

Keywords: action anticipation; belief based; submentalizing explain; anticipation apes ... See more keywords

An efficient self-attention network for skeleton-based action recognition

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recommendations! Published in 2022 at "Scientific Reports"

DOI: 10.1038/s41598-022-08157-5

Abstract: There has been significant progress in skeleton-based action recognition. Human skeleton can be naturally structured into graph, so graph convolution networks have become the most popular method in this task. Most of these state-of-the-art methods… read more here.

Keywords: action recognition; skeleton based; based action; skeleton ... See more keywords

Hierarchical intertwined graph representation learning for skeleton-based action recognition

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-19399-4

Abstract: Graph Convolutional Networks (GCNs) have emerged as a leading approach for human skeleton-based action recognition, owing to their capacity to represent skeletal joints as adaptive graphs that effectively capture complex spatial relationships for feature aggregation.… read more here.

Keywords: action recognition; based action; skeleton based;

Fully Attentional Network for Skeleton-Based Action Recognition

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3247840

Abstract: With the extraordinary ability by representing human body structure as a spatial graph, graph convolution networks (GCNs) have progressed much in skeleton-based action recognition. However, these methods usually use a predefined graph to represent human… read more here.

Keywords: action recognition; graph; action; based action ... See more keywords

Discrete Soft Actor-Critic Algorithm With Heuristic-Based Action Mapping for RMSCA in MCF-EONs

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recommendations! Published in 2025 at "Journal of Lightwave Technology"

DOI: 10.1109/jlt.2025.3617511

Abstract: This paper proposes a novel deep reinforcement learning (DRL) architecture that enables effective decoupling between the agent and the environment for routing, modulation, spectrum, and core allocation (RMSCA) in multi-core fiber elastic optical networks (MCF-EONs).… read more here.

Keywords: action mapping; rmsca; based action; heuristic based ... See more keywords

LLMs Encounter Critical Elements Prompts: Semantically Guided Partial Supervision Skeleton-Based Action Recognition

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recommendations! Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2025.3556580

Abstract: Semantically guided skeleton-based action recognition is a crucial but challenging task in the data processing with RGB and depth sensors. The generation of action descriptions is facilitated by the pretrained language model, thereby imbuing the… read more here.

Keywords: skeleton; based action; language; skeleton based ... See more keywords