Deep Learning on Point Clouds and Its Application: A Survey

A Review on Deep Learning Techniques for 3D Sensed Data Classification

(2019) David Griffiths et al.   Remote Sensing

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Paris-Lille-3D: A large and high-quality ground-truth urban point cloud dataset for automatic segmentation and classification

(2018) Xavier Roynard et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Tree Classification in Complex Forest Point Clouds Based on Deep Learning

(2017) Xinhuai Zou et al.   IEEE Geoscience and Remote Sensing Letters

Geometric Deep Learning: Going beyond Euclidean data

(2017) Michael M. Bronstein et al.   IEEE SIGNAL PROCESSING MAGAZINE

A new deep convolutional neural network for fast hyperspectral image classification

(2017) M.E. Paoletti et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A scalable active framework for region annotation in 3D shape collections

(2016) Li Yi et al.   ACM TRANSACTIONS ON GRAPHICS

Shape Retrieval of Non-rigid 3D Human Models

(2016) D. Pickup et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

3D object perception and perceptual learning in the RACE project

(2016) Miguel Oliveira et al.   ROBOTICS AND AUTONOMOUS SYSTEMS

TerraMobilita/iQmulus urban point cloud analysis benchmark

(2015) Bruno Vallet et al.   COMPUTERS & GRAPHICS-UK

Deep learning

(2015) Yann LeCun et al.   NATURE

3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey

(2014) Yulan Guo et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Vision meets robotics: The KITTI dataset

(2013) A Geiger et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Sketch-based shape retrieval

(2012) Mathias Eitz et al.   ACM TRANSACTIONS ON GRAPHICS