Search Results for author: En-Te Lin

Found 2 papers, 2 papers with code

SD-Net: Symmetric-Aware Keypoint Prediction and Domain Adaptation for 6D Pose Estimation In Bin-picking Scenarios

1 code implementation14 Mar 2024 Ding-Tao Huang, En-Te Lin, Lipeng Chen, Li-Fu Liu, Long Zeng

Specifically, at the keypoint prediction stage, we designe a robust 3D keypoints selection strategy considering the symmetry class of objects and equivalent keypoints, which facilitate locating 3D keypoints even in highly occluded scenes.

6D Pose Estimation Domain Adaptation

NormNet: Scale Normalization for 6D Pose Estimation in Stacked Scenarios

1 code implementation15 Nov 2023 En-Te Lin, Wei-Jie Lv, Ding-Tao Huang, Long Zeng

Existing Object Pose Estimation (OPE) methods for stacked scenarios are not robust to changes in object scale.

6D Pose Estimation Semantic Segmentation +1

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