IEEE

Unsupervised Spatial–Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification

Abstract: Feature learning technologies using convolutional neural networks (CNNs) have shown superior performance over traditional hand-crafted feature extraction algorithms. However, a large number ...
IEEE

Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era

Abstract: 3D reconstruction is a longstanding ill-posed problem, which has been explored for decades by the computer vision, computer graphics, and machine learning communities. Since 2015, ...
GitHub

Deep Hough Voting for 3D Object Detection in Point Clouds

This repository is code release for our ICCV 2019 paper (arXiv report here). Current 3D object detection methods are heavily influenced by 2D detectors. In order to leverage architectures in 2D ...