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Conference Paper

Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences

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Kukleva,  Anna
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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VidalMata, R. G., Scheirer, W. J., Kukleva, A., Cox, D., & Kuehne, H. (2021). Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences. In IEEE Winter Conference on Applications of Computer Vision (pp. 1238-1247). Computer Vision Foundation.


Cite as: http://hdl.handle.net/21.11116/0000-0008-4593-4
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