GitHub

Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation

LiDAR point cloud semantic segmentation enables the robots to obtain fine-grained semantic information of the surrounding environment. Recently, many works project the point cloud onto the 2D image ...
GitHub

parallel-2d-convolution

University project of the Parallel Computing course. There are two challenges that are solved using parallel computing techniques and two famous frameworks: OpenMP and CUDA.
IEEE

Oil Spill Detection Using 2D Convolution Neural Network and Generative Adversarial Network

Abstract: Finding oil spills in the ocean is one of the most crucial tasks in preserving our ecosystem. Using satellite or aerial photographs as input to a deep learning model that makes use of 2D CNN ...
Scientific Research Publishing

Method of Multi-Mode Sensor Data Fusion with an Adaptive Deep Coupling Convolutional Auto ...

To address the difficulties in fusing multi-mode sensor data for complex industrial machinery, an adaptive deep coupling convolutional auto-encoder (ADCCAE) fusion method was proposed. First, the ...
IEEE

Feature Selection Models using 2D Convolution Neural Network for ECG based Biometric ...

Abstract: The Electrocardiogram (ECG) signal is increasing in popularity as a biometric modality due to its useful properties in developing trustworthy identification systems. However, one of the ...
Frontiers

3D Geological Image Synthesis From 2D Examples Using Generative Adversarial Networks

Generative Adversarial Networks (GAN) are becoming an alternative to Multiple-point Statistics (MPS) techniques to generate stochastic fields from training images. But a difficulty for all the ...