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Journal Article

Recognizing Fine-grained and Composite Activities Using Hand-centric Features and Script Data

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45307

Rohrbach,  Marcus
Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons79477

Rohrbach,  Anna
Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons86644

Amin,  Sikandar
Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons71836

Andriluka,  Mykhaylo
Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45383

Schiele,  Bernt
Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society;

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Citation

Rohrbach, M., Rohrbach, A., Regneri, M., Amin, S., Andriluka, M., Pinkal, M., et al. (2016). Recognizing Fine-grained and Composite Activities Using Hand-centric Features and Script Data. International Journal of Computer Vision, 119(3), 346-373. doi:10.1007/s11263-015-0851-8.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0028-D56A-2
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