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20182025
most citedActive 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning

5 citations · 8 across the 4 of their papers we have counts for

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Showing 2019Show all

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cs.CV2019★ 5 cited

Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning

Juil Sock, Guillermo Garcia-Hernando, Tae-Kyun Kim

In this work, we explore how a strategic selection of camera movements can facilitate the task of 6D multi-object pose estimation in cluttered scenarios while respecting real-world…

cs.CV2019

Instance- and Category-level 6D Object Pose Estimation

Caner Sahin, Guillermo Garcia-Hernando, Juil Sock +1

6D object pose estimation is an important task that determines the 3D position and 3D rotation of an object in camera-centred coordinates. By utilizing such a task, one can propose…