3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections
SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention
A Convolutional Autoencoder Approach to Learn Volumetric Shape Representations for Brain Structures
3DMV: Joint 3D-Multi-view Prediction for 3D Semantic Scene Segmentation
Attention-based Pyramid Aggregation Network for Visual Place Recognition