Paper accepted at RA-L

affordances

Our paper presenting  a novel multi-scale approach for learning deep representations from RGB-D data has been accepted for publications on Robotics and Automation Letters:

 

L.Porzi, S.Rota, A.Peñate-Sánchez, E.Ricci, F.Moreno-Noguer, Learning Depth-aware Deep Representations for Robotic Perception, To appear in Robotics and Automation Letters (RA-L), 2017

Written By elisa

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