Skeleton-based human activity recognition using ConvLSTM and guided feature learning
Sign Up to like & getrecommendations! Published in 2021 at "Soft Computing"
DOI: 10.1007/s00500-021-06238-7
Abstract: Human activity recognition aims to determine actions performed by a human in an image or video. Examples of human activity include standing, running, sitting, sleeping, etc. These activities may involve intricate motion patterns and undesired… read more here.
Keywords: activity recognition; convlstm; human activity; skeleton ... See more keywords
FACLSTM: ConvLSTM with focused attention for scene text recognition
Sign Up to like & getrecommendations! Published in 2020 at "Science China Information Sciences"
DOI: 10.1007/s11432-019-2713-1
Abstract: Scene text recognition has recently been widely treated as a sequence-to-sequence prediction problem, where traditional fully-connected-LSTM (FC-LSTM) has played a critical role. Owing to the limitation of FC-LSTM, existing methods have to convert 2-D feature… read more here.
Keywords: convlstm; scene; attention; text recognition ... See more keywords
Unsupervised Anomaly Video Detection via a Double-Flow ConvLSTM Variational Autoencoder
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3165977
Abstract: With the rapid increase of video surveillance points in the market in recent years, video anomaly detection has gained extensive attention in the security field. At present, the distribution of normal and anomalous data is… read more here.
Keywords: unsupervised anomaly; detection; convlstm; variational autoencoder ... See more keywords
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2019.2943841
Abstract: Prognostic tumor growth modeling via volumetric medical imaging observations can potentially lead to better outcomes of tumor treatment management and surgical planning. Recent advances of convolutional networks (ConvNets) have demonstrated higher accuracy than traditional mathematical… read more here.
Keywords: patient; convlstm; spatio temporal; tumor growth ... See more keywords
Effect of hyper-parameters on the performance of ConvLSTM based deep neural network in crop classification
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0275653
Abstract: Deep learning based data driven methods with multi-sensors spectro-temporal data are widely used for pattern identification and land-cover classification in remote sensing domain. However, adjusting the right tuning for the deep learning models is extremely… read more here.
Keywords: classification; convlstm; deep learning; model ... See more keywords