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Found 4 papers, 3 papers with code
On Exploring PDE Modeling for Point Cloud Video Representation Learning
We introduce Motion PointNet composed of a PointNet-like encoder and a PDE-solving module.
Pixel Sentence Representation Learning
To our knowledge, this is the first representation learning method devoid of traditional language models for understanding sentence and document semantics, marking a stride closer to human-like textual comprehension.
MF-MOS: A Motion-Focused Model for Moving Object Segmentation
Moving object segmentation (MOS) provides a reliable solution for detecting traffic participants and thus is of great interest in the autonomous driving field.
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers
Transformer with its underlying attention mechanism and the ability to capture long-range dependencies makes it become a natural choice for unordered point cloud data.
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3D Semantic Segmentation
on SensatUrban
