3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.CV2022★ 3 cited
ConvPoseCNN2: Prediction and Refinement of Dense 6D Object Poses
Arul Selvam Periyasamy, Catherine Capellen, Max Schwarz +1
Object pose estimation is a key perceptual capability in robotics. We propose a fully-convolutional extension of the PoseCNN method, which densely predicts object translations and…
cs.CV2019
ConvPoseCNN: Dense Convolutional 6D Object Pose Estimation
Catherine Capellen, Max Schwarz, Sven Behnke
6D object pose estimation is a prerequisite for many applications. In recent years, monocular pose estimation has attracted much research interest because it does not need depth me…