IEEE

Graph-based Transform based on 3D Convolutional Neural Network for Intra-Prediction of Imaging Data

Abstract: This paper presents a novel class of Graph-based Transform based on 3D convolutional neural networks (GBT-CNN) within the context of block-based predictive transform coding of imaging data.
GitHub

Transformation-Equivariant 3D Object Detection for Autonomous Driving

The overall detection framework is shown below. (1) Transformation-equivariant Sparse Convolution (TeSpConv) backbone; (2) Transformation-equivariant Bird Eye View (TeBEV) pooling; (3) Multi-grid ...
IEEE

A Comprehensive Performance Evaluation of 3-D Transformation Estimation Techniques in Point Cloud Registration

Abstract: 3-D local feature extraction and matching is a key step in point cloud registration. However, this process commonly draws into false correspondences caused by noise, occlusion, incomplete ...
GitHub

Runtime Transform Handles for Unity

This project is based on RuntimeTransformHandle by pshtif. Unity Runtime Transform Handles is a powerful tool that allows developers to transform objects at runtime using a set of intuitive and ...