Search Results - "spatio-temporal autoencoder"
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Spatio-Temporal AutoEncoder for Traffic Flow Prediction
ISSN: 1524-9050, 1558-0016Published: New York IEEE 01.05.2023Published in IEEE transactions on intelligent transportation systems (01.05.2023)“… Along this line, we propose a novel autoencoder-based traffic flow prediction method, named Spatio-Temporal AutoEncoder (ST-AE…”
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Map-Informed Trajectory Recovery With Adaptive Spatio-Temporal Autoencoder
ISSN: 1524-9050, 1558-0016Published: IEEE 01.01.2025Published in IEEE transactions on intelligent transportation systems (01.01.2025)“… To address these challenges, we propose a novel Map-informed Adaptive Spatio-Temporal Autoencoder, which follows an encoder-decoder architecture for trajectory recovery…”
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Fault detection for lithium-ion batteries of electric vehicles with spatio-temporal autoencoder
ISSN: 0306-2619Published: Elsevier Ltd 15.08.2025Published in Applied energy (15.08.2025)“… In this paper, a spatio-temporal autoencoder is proposed to address this limitation by learning the complex time dependence of time series data while considering inconsistencies within the battery pack…”
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MDSTA: masked diffusion spatio-temporal autoencoder for multimodal remote sensing image classification
ISSN: 0143-1161, 1366-5901Published: Taylor & Francis 03.06.2025Published in International journal of remote sensing (03.06.2025)“… information when one modality is missing, resulting in unsatisfying performance. To address this, we propose the Masked Diffusion Spatio-Temporal Autoencoder (MDSTA…”
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Abnormal Event Detection in Videos Using Hybrid Spatio-Temporal Autoencoder
ISSN: 2381-8549Published: IEEE 01.10.2018Published in Proceedings - International Conference on Image Processing (01.10.2018)“…The LSTM Encoder-Decoder framework is used to learn representation of video sequences and applied for detect abnormal event in complex environment. However, it…”
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Conference Proceeding -
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Reverse erasure guided spatio-temporal autoencoder with compact feature representation for video anomaly detection
ISSN: 1674-733X, 1869-1919Published: Beijing Science China Press 01.09.2022Published in Science China. Information sciences (01.09.2022)“…Conclusion In conventional video anomaly detection based on deep learning, the deep network is optimized without focus and the similarity between different…”
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Detecting Cyber Attacks in Industrial Control Systems Using Spatio-Temporal Autoencoder
ISSN: 2161-4407Published: IEEE 18.06.2023Published in Proceedings of ... International Joint Conference on Neural Networks (18.06.2023)“… To protect ICSs from such threats, we propose a Spatio-Temporal Autoencoder (STA) with a Dynamic Thresholding Mechanism…”
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Conference Proceeding -
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Spatio-temporal autoencoder for feature learning in patient data with missing observations
Published: IEEE 01.11.2017Published in 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (01.11.2017)“… In this paper, we propose a spatio-temporal autoencoder (STAE), an unsupervised deep learning scheme, to learn features from large-scale and high-dimensional patient data with missing observations…”
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Conference Proceeding -
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BGP Anomaly Detection by the mean of Updates Projection and Spatio-temporal Auto-encoding
ISSN: 2576-3539Published: IEEE 19.09.2022Published in Proceedings of ... International Workshop on Resilient Networks Design and Modeling (Online) (19.09.2022)“…Detecting BGP anomalies is crucial to improve the security and robustness of the Internet's inter-domain routing system. As part of this work, we propose an…”
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Conference Proceeding -
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Enhancing Video Anomaly Detection Using Spatio-Temporal Autoencoders and Convolutional LSTM Networks
ISSN: 2661-8907, 2662-995X, 2661-8907Published: Singapore Springer Nature Singapore 11.01.2024Published in SN computer science (11.01.2024)“…Identifying suspicious activities or behaviors is essential in the domain of Anomaly Detection (AD). In crowded scenes, the presence of inter-object occlusions…”
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Intrusion detection on robot cameras using spatio-temporal autoencoders: A self-driving car application
ISSN: 2577-2465Published: IEEE 01.05.2020Published in IEEE Vehicular Technology Conference (01.05.2020)“… Our solution is based on spatio-temporal autoencoders used to truthfully reconstruct the camera frames and detect abnormal ones by measuring the difference with the input. We test our approach on a real-word dataset, i.e. flows coming from embedded cameras of self-driving cars. Our solution outperforms the existing works on different scenarios…”
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Conference Proceeding -
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End-to-End Learning of Video Compression using Spatio-Temporal Autoencoders
ISBN: 1728180996, 9781728180991ISSN: 2374-7390Published: IEEE 01.10.2020Published in SiPS ... design and implementation - IEEE Workshop on Signal Processing Systems (01.10.2020)“… We formalize it as the rate-distortion optimization of a single spatio-temporal autoencoder, by jointly learning a latent-space projection transform, and a synthesis transform for low-bitrate video compression…”
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Conference Proceeding -
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Target Tracking in 4D US Based on Template Matching and Target Forecasting Using Spatio-Temporal Autoencoders
ISSN: 2471-7819Published: IEEE 04.12.2023Published in Proceedings / Annual IEEE International Symposium on Bioinformatics and Bioengineering (BIBE) (04.12.2023)“… A spatio-temporal autoencoder as well as a recurrent neural network are implemented and trained based on a labeled…”
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Conference Proceeding -
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Empirical Thresholding on Spatio-Temporal Autoencoders Trained on Surveillance Videos in a Dementia Care Unit
Published: IEEE 01.06.2023Published in 2023 20th Conference on Robots and Vision (CRV) (01.06.2023)“…Agitation is a key behavioural and psychological symptom exhibited by people with dementia. These behaviours can put the patient with dementia and others'…”
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Conference Proceeding -
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Residual Spatiotemporal Autoencoder with Skip Connected and Memory Guided Network for Detecting Video Anomalies
ISSN: 1370-4621, 1573-773XPublished: New York Springer US 01.12.2021Published in Neural processing letters (01.12.2021)“…Real-time video anomaly detection and localization still prevail as a challenging task. Autoencoders are expected to give high reconstruction error for…”
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Journal Article -
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Spatio-temporal adversarial learning for detecting unseen falls
ISSN: 1433-7541, 1433-755XPublished: London Springer London 01.02.2021Published in Pattern analysis and applications : PAA (01.02.2021)“…Fall detection is an important problem from both the health and machine learning perspective. A fall can lead to severe injuries, long-term impairments or even…”
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Spatio‐temporal Autoencoders in Weather and Climate Research
ISBN: 1119646146, 9781119646143Published: Chichester, UK John Wiley & Sons Ltd 27.09.2021Published in Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences (27.09.2021)“…The need to understand and predict weather and climate has always been a concern of humanity. A main current challenge derives from the Earth's complex…”
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Book Chapter -
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Deep learning based detection and localization of road accidents from traffic surveillance videos
ISSN: 2405-9595, 2405-9595Published: Elsevier 01.09.2022Published in ICT express (01.09.2022)“… The method follows one-class classification approach and applies spatio-temporal autoencoder and sequence-to-sequence long short-term memory autoencoder for modeling spatial and temporal representations in the video…”
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Journal Article -
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Traffic Prediction With Missing Data: A Multi-Task Learning Approach
ISSN: 1524-9050, 1558-0016Published: New York IEEE 01.04.2023Published in IEEE transactions on intelligent transportation systems (01.04.2023)“… and further leads to the error accumulation issues. To tackle this problem, we propose a graph-based spatio-temporal autoencoder that follows an encoder-decoder structure for spatio-temporal traffic speed…”
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Spatio-Temporal Prediction on Streaming Data: A Unified Federated Continuous Learning Framework
ISSN: 1041-4347, 1558-2191Published: IEEE 01.04.2025Published in IEEE transactions on knowledge and data engineering (01.04.2025)“…The widespread deployment of wireless and mobile devices results in a proliferation of decentralized spatio-temporal data. Many recent proposals that target…”
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