1 code implementation • 5 Jan 2024 • Jincen Jiang, Lizhi Zhao, Xuequan Lu, Wei Hu, Imran Razzak, Meili Wang
Recent works attempt to extend Graph Convolution Networks (GCNs) to point clouds for classification and segmentation tasks.
1 code implementation • 4 Jul 2022 • Jincen Jiang, Xuequan Lu, Lizhi Zhao, Richard Dazeley, Meili Wang
We first split the input point cloud into patches and mask a portion of them, then use our Patch Embedding Module to extract the features of unmasked patches.
no code implementations • 5 Jan 2022 • Shuaijun Chen, Jinxi Wang, Wei Pan, Shang Gao, Meili Wang, Xuequan Lu
As a popular representation of 3D data, point cloud may contain noise and need to be filtered before use.
no code implementations • 14 Oct 2021 • Jinxi Wang, Jincen Jiang, Xuequan Lu, Meili Wang
We then map the non-local similar patches into a canonical space and aggregate the non-local information.
no code implementations • 13 Oct 2021 • Jincen Jiang, Xuequan Lu, Wanli Ouyang, Meili Wang
Though a number of point cloud learning methods have been proposed to handle unordered points, most of them are supervised and require labels for training.