Search Results for author: Jincen Jiang

Found 4 papers, 2 papers with code

DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning

1 code implementation5 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.

Graph Attention

Masked Autoencoders in 3D Point Cloud Representation Learning

1 code implementation4 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.

Point Cloud Completion Point cloud reconstruction +2

Rethinking Point Cloud Filtering: A Non-Local Position Based Approach

no code implementations14 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.

Position

Unsupervised Contrastive Learning with Simple Transformation for 3D Point Cloud Data

no code implementations13 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.

3D Object Classification Classification +4

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