24 citations · 53 across the 7 of their papers we have counts for
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cs.CV2022★ 2 cited
CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation
Niklas Gard, Anna Hilsmann, Peter Eisert
Applications in the field of augmented reality or robotics often require joint localisation and 6D pose estimation of multiple objects. However, most algorithms need one network pe…
cs.CV2022★ 10 cited
Combining Local and Global Pose Estimation for Precise Tracking of Similar Objects
Niklas Gard, Anna Hilsmann, Peter Eisert
In this paper, we present a multi-object 6D detection and tracking pipeline for potentially similar and non-textured objects. The combination of a convolutional neural network for…