Lateralization of spatial rather than temporal attention underlies the left hemifield advantage in rapid serial visual presentation
Sign Up to like & getrecommendations! Published in 2017 at "Brain and Cognition"
DOI: 10.1016/j.bandc.2017.07.010
Abstract: HIGHLIGHTSThis study investigates mechanism underlying the LVF advantage in bilateral RSVP.The asymmetry might reflect lateralization of temporal or/and spatial attention.The results argue against the hypothesis of lateralization of temporal attention.The results support the hypothesis of… read more here.
Keywords: rapid serial; attention; lvf advantage; temporal attention ... See more keywords
Fused GRU with semantic-temporal attention for video captioning
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.06.096
Abstract: Abstract The encoder-decoder framework has been widely used for video captioning to achieve promising results, and various attention mechanisms are proposed to further improve the performance. While temporal attention determines where to look, semantic decides… read more here.
Keywords: temporal attention; attention; semantic temporal; video captioning ... See more keywords
A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.03.080
Abstract: Abstract Prediction of individual mobility is crucial in human mobility related applications. Whereas, existing research on individual mobility prediction mainly focuses on next location prediction and short-term dependencies between traveling locations. Long-term location sequence prediction… read more here.
Keywords: location; individual mobility; mobility; temporal attention ... See more keywords
Stream-Flow Forecasting Based on Dynamic Spatio-Temporal Attention
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2941799
Abstract: Recent advances in stream-flow prediction using Recurrent Neural Networks (RNN) or Long Short-Term Memory (LSTM) have prompted their exploration in the field of hydrology. Predicting hydrological time series is of great importance, but is very… read more here.
Keywords: temporal attention; dynamic spatio; stream flow; spatio temporal ... See more keywords
STAF: Spatio-Temporal Attention Framework for Understanding Road Agents Behaviors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3176861
Abstract: On-road behavior analysis is a key task required for robust autonomous vehicles. Unlike traditional perception tasks, this paper aims to achieve a high-level understanding of road agent activities. This allows better operation under challenging contexts… read more here.
Keywords: road; understanding road; staf spatio; temporal attention ... See more keywords
Shared Temporal Attention Transformer for Remaining Useful Lifetime Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3187702
Abstract: This paper proposes a novel deep learning architecture for estimating the remaining useful lifetime (RUL) of industrial components, which solely relies on the recently developed transformer architectures. The RUL estimation resorts to analysing degradation patterns… read more here.
Keywords: remaining useful; attention; useful lifetime; transformer ... See more keywords
Saturation Line Forecasting via a Channel and Temporal Attention-Based Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3222817
Abstract: Tailings ponds are places for storing industrial waste. The saturation line is the crucial factor in quantifying the safety of tailings ponds. Existing saturation line time-series prediction methods are mainly based on statistical models or… read more here.
Keywords: channel temporal; temporal attention; saturation line;
A Spatio-Temporal Attention-Based Model for Infant Movement Assessment From Videos
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2021.3077957
Abstract: The absence or abnormality of fidgety movements of joints or limbs is strongly indicative of cerebral palsy in infants. Developing computer-based methods for assessing infant movements in videos is pivotal for improved cerebral palsy screening.… read more here.
Keywords: temporal attention; movement assessment; spatio temporal; cerebral palsy ... See more keywords
PSTAF-GAN: Progressive Spatio-Temporal Attention Fusion Method based on Generative Adversarial Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3161563
Abstract: Spatio-temporal fusion aims to integrate mul-ti-source remote sensing images with complementary high spatial and temporal resolutions, so as to obtain time-series high spatial resolution fused images. Currently, deep learning (DL)-based spatio-temporal fusion methods have received… read more here.
Keywords: fusion; spatio temporal; pstaf gan; temporal attention ... See more keywords
Inertial Odometry Using Hybrid Neural Network With Temporal Attention for Pedestrian Localization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3186704
Abstract: In this work, a novel hybrid neural network with temporal attention (HNNTA) is proposed for inertial pedestrian localization. The HNNTA model employs the convolutional neural network (CNN) for extracting sectional features from the IMU data,… read more here.
Keywords: neural network; network; temporal attention; hnnta model ... See more keywords
Spatio-Temporal Attention-Based LSTM Networks for 3D Action Recognition and Detection
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2818328
Abstract: Human action analytics has attracted a lot of attention for decades in computer vision. It is important to extract discriminative spatio-temporal features to model the spatial and temporal evolutions of different actions. In this paper,… read more here.
Keywords: action recognition; detection; attention; temporal attention ... See more keywords