Suchergebnisse - Spatio-temporal autoencoder

Spatio-Temporal AutoEncoder for Traffic Flow Prediction von Liu, Mingzhe, Zhu, Tongyu, Ye, Junchen, Meng, Qingxin, Sun, Leilei, Du, Bowen

“… 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 von Ye, Yongchao, Wang, Ao, Zeb, Adnan, Zhang, Shiyao, Jianqiao Yu, James

“… 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 von Li, Heng, Liu, Zhijun, Bin Kaleem, Muaaz, Duan, Lijun, Ruan, Siqi, Liu, Weirong

“… 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 von Yue, Zongqin, Xu, Jindong, Li, Ziyi, Xing, Haihua, Cheng, Xiang

“… 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 von Wang, Lin, Zhou, Fuqiang, Li, Zuoxin, Zuo, Wangxia, Tan, Haishu

“… Based on the LSTM Encoder-Decoder and the Convolutional Autoencoder, we explore a hybrid autoencoder architecture, which not only extracts better spatio-temporal context, but also improves …”
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A Spatio‐Temporal Enhanced Graph‐Transformer AutoEncoder embedded pose for anomaly detection von Zhu, Honglei, Wei, Pengjuan, Xu, Zhigang

“… ‐based video anomaly detection in recent years. The spatio‐temporal graph convolutional network has been proven to be effective in modelling the spatio …”
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Reverse erasure guided spatio-temporal autoencoder with compact feature representation for video anomaly detection von Zhong, Yuanhong, Chen, Xia, Jiang, Jinyang, Ren, Fan

“… 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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Enhancing Video Anomaly Detection Using Spatio-Temporal Autoencoders and Convolutional LSTM Networks von Almahadin, Ghayth, Subburaj, Maheswari, Hiari, Mohammad, Sathasivam Singaram, Saranya, Kolla, Bhanu Prakash, Dadheech, Pankaj, Vibhute, Amol D., Sengan, Sudhakar

“… By leveraging a spatio-temporal method, the proposed approach harnesses the power of both spatial and temporal dimensions …”
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Spatio-temporal masked autoencoder-based phonetic segments classification from ultrasound von Dan, Xi, Xu, Kele, Zhou, Yihang, Yang, Chuanguang, Chen, Yihao, Dou, Yutao, Yang, Cheng

“… The integration of Ultrasound Tongue Imaging (UTI) into clinical linguistics and phonetics research facilitates the examination of articulatory patterns and …”
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Flow field prediction in bed configurations: A parametric spatio-temporal convolutional autoencoder approach von Mjalled, Ali, Namdar, Reza, Reineking, Lucas, Norouzi, Mohammad, Varnik, Fathollah, Mönnigmann, Martin

“… The ROM consists of a parametric spatio-temporal convolutional autoencoder. The neural network architecture comprises two main components …”
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LSTENet: Cement productivity prediction using a self-attention spatio-temporal variational autoencoder von Shi, Guangsi, Pan, Shirui, Zou, Ruiping

“… In the advent of the Industry 4.0 paradigm, intelligent manufacturing has gained prominence with the integration of advanced Artificial Intelligence (AI) …”
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DeepFall: Non-Invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders von Nogas, Jacob, Khan, Shehroz S., Mihailidis, Alex

“… The DeepFall framework presents the novel use of deep spatio-temporal convolutional autoencoders to learn spatial and temporal features from normal activities using non-invasive sensing modalities …”
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STMemAE: An Instance-Level Based Spatio-Temporal Memory Autoencoder for Unsupervised Vision-Based Seizure Detection von Hu, Dinghan, Wu, Kai, Fang, Yuan, Jiang, Tiejia, Gao, Feng, Cao, Jiuwen

“… With these regards, an effective instance-level based spatio-temporal memory autoencoder, called STMemAE, is proposed for unsupervised vision-based seizure detection in this paper …”
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Spatio-temporal graph convolutional autoencoder for transonic wing pressure distribution forecasting von Immordino, Gabriele, Vaiuso, Andrea, Da Ronch, Andrea, Righi, Marcello

“… Four different temporal schemes have been tested, where the spatio-temporal graph convolutional network achieved the best accuracy thanks to convolution in both time and space …”
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Multi-level convolutional autoencoder networks for parametric prediction of spatio-temporal dynamics von Xu, Jiayang, Duraisamy, Karthik

“… A temporal convolutional autoencoder (TCAE) serves as the second level, which further encodes the output sequence from the first level along the temporal dimension, and outputs a set of latent variables that encapsulate the spatio-temporal …”
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Unsupervised anomalous event detection in videos using spatio-temporal inter-fused autoencoder von Aslam, Nazia, Kolekar, Maheshkumar H

“… In this paper, we propose an end-to-end trainable Inter-fused Autoencoder (IFA) which is designed using the assemblage of CNN and LSTM layers to detect the unwonted events in a video sequence …”
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Autoencoder-based abnormal activity detection using parallelepiped spatio-temporal region von George, Michael, Jose, Babita Roslind, Mathew, Jimson, Kokare, Pranjali

“… Autoencoders can be configured to detect abnormal patterns. The authors have used these abilities of the autoencoders to detect abnormalities in the HOFM features extracted from their novel spatio-temporal …”
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Estimation of Clinical Tremor using Spatio-Temporal Adversarial AutoEncoder von Zhang, Li, Koesmahargyo, Vidya, Galatzer-Levy, Isaac

“… In this work, we propose a spatio-temporal adversarial autoencoder (ST-AAE) for clinical assessment of hand tremor frequency and severity …”
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Spatio-Temporal Attention Adversarial Autoencoders for Enhanced Anomaly Detection in High-Pressure Grinding Rolls von Zhang, Danwei, Yu, Wen, Xu, Quan, Chai, Tianyou

“… : The spatio-temporal attention-based (STA) minimal gated unit (MGU) adversarial autoencoder (AAE …”
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Intrusion detection on robot cameras using spatio-temporal autoencoders: A self-driving car application von Amrouche, Faouzi, Lagraa, Sofiane, Frank, Raphael, State, Radu

“… 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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