Results 31 to 40 of about 5,180,795 (305)

Attractive faces temporally modulate visual attention

open access: yesFrontiers in Psychology, 2014
Facial attractiveness is an important biological and social signal on social interaction. Recent research has demonstrated that an attractive face captures greater spatial attention than an unattractive face does.
Koyo eNakamura, Hideaki eKawabata
doaj   +1 more source

Real Driving Cycle-Based State of Charge Prediction for EV Batteries Using Deep Learning Methods

open access: yesApplied Sciences, 2021
An accurate prediction of the State of Charge (SOC) of an Electric Vehicle (EV) battery is important when determining the driving range of an EV. However, the majority of the studies in this field have either been focused on the standard driving cycle ...
Seokjoon Hong   +4 more
doaj   +1 more source

Attentional rhythm: A temporal analogue of object-based attention.

open access: yesJournal of Experimental Psychology: General, 2012
The underlying units of attention are often discrete visual objects. Perhaps the clearest form of evidence for this is the same-object advantage: Following a spatial cue, responses are faster to probes occurring on the same object than they are to probes occurring on other objects, while equating brute distance.
Julian, De Freitas   +2 more
openaire   +2 more sources

Changes in Tonic Alertness but Not Voluntary Temporal Preparation Modulate the Attention Elicited by Task-Relevant Gaze and Arrow Cues

open access: yesVision, 2018
Attention is engaged differently depending on the type and utility of an attentional cue. Some cues like visual transients or social gaze engage attention effortlessly.
Dana A. Hayward, Jelena Ristic
doaj   +1 more source

Topology-Embedded Temporal Attention for Fine-Grained Skeleton-Based Action Recognition

open access: yesApplied Sciences, 2022
In recent years, graph convolutional networks (GCNs) have been extensively applied in numerous fields, demonstrating strong performances. Although existing GCN-based models have extraordinary feature representation capabilities in spatial modeling and ...
Pengyuan Han, Zhongli Ma, Jiajia Liu
doaj   +1 more source

Exploring New Paradigms in Time Series Prediction by Integrating Computer Simulations and Machine Learning

open access: yesIEEE Access
Time series prediction is a challenging task that requires modeling complex temporal dependencies and structural priors. In this work, we propose a novel framework that fundamentally advances existing Transformer-based methods through the introduction of
Pengcheng Wu   +3 more
doaj   +1 more source

An End to End Framework With Adaptive Spatio-Temporal Attention Module for Human Action Recognition

open access: yesIEEE Access, 2020
Human action recognition is a challenging task in computer vision. Modeling spatial-temporal information in videos effectively is crucial for the performance improvement of action recognition.
Shaocan Liu, Xin Ma, Hanbo Wu, Yibin Li
doaj   +1 more source

Disengaging attention sets the temporal limit of attentive tracking

open access: yesVision Research, 2007
At first sight, recent studies investigating the temporal limits of attentive tracking show contradictory outcomes. Attentively tracking an object in an ambiguous apparent motion display can have an upper limit of around 0.4 revolutions per second (rps) [Horowitz, T. S., Holcombe, A. O., Wolfe, J. M., Arsenio, H. C., & DiMase, J. S. (2004). Attentional
Benjamins, Jeroen S.   +3 more
openaire   +4 more sources

A boost and bounce theory of temporal attention. [PDF]

open access: yesPsychological Review, 2008
What is the time course of visual attention? Attentional blink studies have found that the 2nd of 2 targets is often missed when presented within about 500 ms from the 1st target, resulting in theories about relatively long-lasting capacity limitations or bottlenecks.
Christian N. L. Olivers, Martijn Meeter
openaire   +2 more sources

An Improved RODNet for Object Detection Based on Radar and Camera Fusion

open access: yesSensors
Deep learning-based radar detection often suffers from poor cross-device generalization due to hardware heterogeneity. To address this, we propose a unified framework that combines rigorous calibration with adaptive temporal modeling.
Manman Fan   +5 more
doaj   +1 more source

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