A multi-scale fully convolutional network for semantic labeling of 3D point clouds

This publication has 27 references indexed in Scilit:

• Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  2015
• Pooled motion features for first-person videos
  2015
• Fully convolutional networks for semantic segmentation
  2015
• Semantic labelling of urban point cloud data
  The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
• Eigen-feature analysis of weighted covariance matrices for LiDAR point cloud classification
  ISPRS Journal of Photogrammetry and Remote Sensing, 2014
• Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  2014
• Contextual classification of lidar data and building object detection in urban areas
  ISPRS Journal of Photogrammetry and Remote Sensing, 2014
• Vision meets robotics: The KITTI dataset
  The International Journal of Robotics Research, 2013
• Fast approximate energy minimization via graph cuts
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001
• Backpropagation Applied to Handwritten Zip Code Recognition
  Neural Computation, 1989