Learning to Detect Visual Grasp Affordance

Oh Song, Hyun; Fritz, Mario; Goehring, Daniel; Darell, Trevor

doi:10.1109/TASE.2015.2396014

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Learning to Detect Visual Grasp Affordance

Oh Song, H., Fritz, M., Goehring, D., & Darell, T. (2016). Learning to Detect Visual Grasp Affordance. IEEE Transactions on Automation Science and Engineering, 13(2), 798-809. doi:10.1109/TASE.2015.2396014.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-E4BF-3 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-C47B-1

Genre: Journal Article

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Creators:
Oh Song, Hyun¹, Author
Fritz, Mario², Author
Goehring, Daniel¹, Author
Darell, Trevor¹, Author

Affiliations:
1External Organizations, ou_persistent22
2Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547

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Language(s): eng - English

Dates: Accepted: 2015-03-01Published Online: 2016Date issued: 2016

Publication Status: Issued

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Identifiers: BibTex Citekey: song15tase
DOI: 10.1109/TASE.2015.2396014
URI: https://scalable.mpi-inf.mpg.de/files/2015/02/main_tase.pdf
URI: https://www.youtube.com/watch?v=C3HU1Tb5hF4

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Title: IEEE Transactions on Automation Science and Engineering

Abbreviation : TASE

Source Genre: Journal

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Publ. Info: Piscataway, NJ : IEEE

Pages: - Volume / Issue: 13 (2) Sequence Number: - Start / End Page: 798 - 809 Identifier: -