Robust point cloud processing through positional embedding

J Zheng, X Li, S Ramasinghe… - … Conference on 3D Vision …, 2024 - ieeexplore.ieee.org
End-to-end trained per-point embeddings are an essential ingredient of any state-of-the-art
3D point cloud processing such as detection or alignment. Methods like PointNet [17], or the …
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Robust Point Cloud Processing through Positional Embedding

J Zheng, X Li, S Ramasinghe, S Lucey - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
End-to-end trained per-point embeddings are an essential ingredient of any state-of-the-art
3D point cloud processing such as detection or alignment. Methods like PointNet, or the …

Robust Point Cloud Processing Through Positional Embedding

J Zheng, X Li, S Ramasinghe, S Lucey - … International Conference on …, 2024 - computer.org
End-to-end trained per-point embeddings are an essential ingredient of any state-of-the-art
3D point cloud processing such as detection or alignment. Methods like PointNet [17], or the …

Robust Point Cloud Processing through Positional Embedding

J Zheng, X Li, S Ramasinghe, S Lucey - arXiv preprint arXiv:2309.00339, 2023 - arxiv.org
End-to-end trained per-point embeddings are an essential ingredient of any state-of-the-art
3D point cloud processing such as detection or alignment. Methods like PointNet, or the …