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Found 5 papers, 1 papers with code
Learning Attributed Graph Representations with Communicative Message Passing Transformer
For this sake, we propose a Communicative Message Passing Transformer (CoMPT) neural network to improve the molecular graph representation by reinforcing message interactions between nodes and edges based on the Transformer architecture.
Lossless Point Cloud Attribute Compression with Normal-based Intra Prediction
In this paper, we propose a normal-based intra prediction scheme, which provides a more efficient lossless attribute compression by introducing the normals of point clouds.
RAI-Net: Range-Adaptive LiDAR Point Cloud Frame Interpolation Network
In this paper, we propose a novel LiDAR point cloud frame interpolation method, which exploits range images (RIs) as an intermediate representation with CNNs to conduct the frame interpolation process.
An Unsupervised Optical Flow Estimation For LiDAR Image Sequences
Among these works, the optical flow estimation for LiDAR image sequences has become a key issue, especially for the motion estimation of the inter prediction in PCC.
An AI Based Super Nodes Selection Algorithm in BlockChain Networks
In blockchain systems, especially cryptographic currencies such as Bitcoin, the double-spending and Byzantine-general-like problem are solved by reaching consensus protocols among all nodes.
Cryptography and Security
