Results 21 to 30 of about 8,034,337 (305)
Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning [PDF]
IEEE International Conference on Computer Vision, 2021 Skeleton-based human action recognition has attracted increasing attention in recent years. However, most of the existing works focus on supervised learning which requiring a large number of annotated action sequences that are often expensive to collect.
Siyuan Yang +4 more
semanticscholar +1 more source
View-Invariant Skeleton Action Representation Learning via Motion Retargeting [PDF]
International Journal of Computer Vision, 2022 Current self-supervised approaches for skeleton action representation learning often focus on constrained scenarios, where videos and skeleton data are recorded in laboratory settings.
Di Yang +5 more
semanticscholar +1 more source
Behavior Cloning and Replay of Humanoid Robot via a Depth Camera
Mathematics, 2023 The technique of behavior cloning is to equip a robot with the capability of learning control skills through observation, which can naturally perform human–robot interaction. Despite many related studies in the context of humanoid robot behavior cloning,
Quantao Wang +4 more
doaj +1 more source
Social Action Effects: Representing Predicted Partner Responses in Social Interactions
Frontiers in Human Neuroscience, 2022 The sociomotor framework outlines a possible role of social action effects on human action control, suggesting that anticipated partner reactions are a major cue to represent, select, and initiate own body movements.
Bence Neszmélyi +3 more
doaj +1 more source
Tensor Representations for Action Recognition [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Human actions in video sequences are characterized by the complex interplay between spatial features and their temporal dynamics. In this paper, we propose novel tensor representations for compactly capturing such higher-order relationships between visual features for the task of action recognition.
Piotr Koniusz, Lei Wang, Anoop Cherian
openaire +3 more sources
A Real-Time Action Representation With Temporal Encoding and Deep Compression [PDF]
IEEE transactions on circuits and systems for video technology (Print), 2020 Deep neural networks have achieved remarkable success for video-based action recognition. However, most of existing approaches cannot be deployed in practice due to the high computational cost.
Kun Liu +4 more
semanticscholar +1 more source
Bodily Illusions and Motor Imagery in Fibromyalgia
Frontiers in Human Neuroscience, 2022 Fibromyalgia (FM) is characterised by chronic, continuous, widespread pain, often associated with a sense of fatigue, non-restorative sleep and physical exhaustion.
Michele Scandola +5 more
doaj +1 more source
Action-driven contrastive representation for reinforcement learning
PLoS ONE, 2022 In reinforcement learning, reward-driven feature learning directly from high-dimensional images faces two challenges: sample-efficiency for solving control tasks and generalization to unseen observations.
Minbeom Kim +3 more
doaj +2 more sources
Imaging when acting: picture but not word cues induce action-related biases of visual attention
Frontiers in Psychology, 2012 In line with the Theory of Event Coding (Hommel et al., 2001), action planning has been shown to affect perceptual processing—an effect that has been attributed to a so-called intentional weighting mechanism (Memelink & Hommel, in press; Wykowska ...
Agnieszka eWykowska +2 more
doaj +1 more source
Curvature representation of the gonihedric action [PDF]
, 1996 We analyse the curvature representation of the gonihedric action $A(M)$ for the cases when the dependence on the dihedral angle is arbitrary.Comment: 10 pages, LaTeX, 3 embedded figures with psfig, submitted to Phys.Lett.
Ambartzumian R. V. +6 more
core +2 more sources