Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
Ionescu, Catalin, Papava, Dragos, Olaru, Vlad, Sminchisescu, Cristian·2014·IEEE Transactions on Pattern Analysis and Machine Intelligence
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- Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion PredictionZhang, Wanying, Zhao, Shen, Meng, Fanyang, Wu, Songtao, Liu, Mengyuan · 2023 · Proceedings of the 31st ACM International Conference on Multimedia
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- Attention Mechanism for Human Motion PredictionAl-aqel, Amal Fahad, Ali Khan, Murtaza · 2020 · 2020 3rd International Conference on Computer Applications & Information Security (ICCAIS)
- Deep Learning for Skeleton-Based Human Activity Segmentation: An Autoencoder ApproachHossen, Md Amran, Naim, Abdul Ghani, Abas, Pg Emeroylariffion · 2024 · Technologies
- A Tensor‐based Regression Approach for Human Motion PredictionGril, Lorena, Wedenig, Philipp, Torkar, Chris, Kleb, Ulrike · 2023 · Quality and Reliability Engineering International
- Domain-Adaptive Online Active Learning for Real-Time Intelligent Video Analytics on Edge DevicesBoldo, Michele, De Marchi, Mirco, Martini, Enrico, Aldegheri, Stefano, Bombieri, Nicola · 2024 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
- Unsupervised Learning for Physical Interaction through Video PredictionFinn, Chelsea, Goodfellow, Ian, Levine, Sergey · 2016 · arXiv
- Explainable Artificial Intelligence (XAI) on TimeSeries Data: A SurveyRojat, Thomas, Puget, Raphaël, Filliat, David, Del Ser, Javier, Gelin, Rodolphe, Díaz-Rodríguez, Natalia · 2021 · arXiv
- Movement science needs different pose tracking algorithmsSeethapathi, Nidhi, Wang, Shaofei, Saluja, Rachit, Blohm, Gunnar, Kording, Konrad P. · 2019 · arXiv