Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios

Juil Sock, Kwang In Kim, Caner Sahin, Tae Kyun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

LanguageEnglish
Title of host publicationProc. of British Machine Vision Conference (BMVC)
StatusAccepted/In press - 2 Jul 2018

Cite this

Sock, J., Kim, K. I., Sahin, C., & Kim, T. K. (Accepted/In press). Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios. In Proc. of British Machine Vision Conference (BMVC)

Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios. / Sock, Juil; Kim, Kwang In; Sahin, Caner; Kim, Tae Kyun.

Proc. of British Machine Vision Conference (BMVC). 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sock, J, Kim, KI, Sahin, C & Kim, TK 2018, Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios. in Proc. of British Machine Vision Conference (BMVC).
Sock J, Kim KI, Sahin C, Kim TK. Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios. In Proc. of British Machine Vision Conference (BMVC). 2018
Sock, Juil ; Kim, Kwang In ; Sahin, Caner ; Kim, Tae Kyun. / Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios. Proc. of British Machine Vision Conference (BMVC). 2018.
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year = "2018",
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BT - Proc. of British Machine Vision Conference (BMVC)

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