Recognizing And Localizing Human Actions
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Time-Series Representation Learning via Temporal and Contextual Contrasting
2021-06-26 · 구현 2개
Papers
Time-Series Representation Learning via Temporal and Contextual Contrasting
2021-06-26
· Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu 외
Learning decent representations from unlabeled time-series data with temporal dynamics is a very challenging task. In this paper, we propose an unsupervised Time-Series representation learning framework via Temporal and …
Automatic Sleep Stage ClassificationContrastive LearningEpilepsy PredictionFault Detection+7Video Action Transformer Network
2018-12-06 · CVPR 2019 6
· Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman
We introduce the Action Transformer model for recognizing and localizing human actions in video clips. We repurpose a Transformer-style architecture to aggregate features from the spatiotemporal context around the person…
Action RecognitionRecognizing And Localizing Human ActionsHuman Activity Prediction in Smart Home Environments with LSTM Neural Networks
2018-06-28 · 14th International Conference on Intelligent Environments (IE) 2018 6
· Niek Tax
In this paper, we investigate the performance of several sequence prediction techniques on the prediction of future events of human behavior in a smart home, as well as the timestamps of those next events. Prediction tec…
Activity PredictionActivity RecognitionData CompressionHome Activity Monitoring+3