Hierarchical Point Cloud Encoding and Decoding With Lightweight Self-Attention Based Model

Author:

Puang En YenORCID,Zhang HaoORCID,Zhu Hongyuan,Jing WeiORCID

Funder

AME Programmatic Funding Scheme

Career Development Fund

RobotHTPO Seed Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Reference43 articles.

1. A scalable active framework for region annotation in 3D shape collections;yi;ACM Trans Graph,2016

2. Attentional ShapeContextNet for Point Cloud Recognition

3. DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing

4. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput - Assist Interv,0

5. Exploiting local and global structure for point cloud semantic segmentation with contextual point representations;wang;Adv Neural Inf Process Syst,2019

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1. Inversion Method for Transformer Winding Hot Spot Temperature Based on Gated Recurrent Unit and Self-Attention and Temperature Lag;Sensors;2024-07-21

2. TransPCGC: Point Cloud Geometry Compression Based on Transformers;Algorithms;2023-10-19

3. 3QNet;ACM Transactions on Graphics;2022-11-30

4. VECTORIZATION OF URBAN MLS POINT CLOUDS: A SEQUENTIAL APPROACH USING CROSS SECTIONS;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2022-05-30

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