Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: PointConv: Deep Convolutional Networks on 3D Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
3 DCNN-DQN-RNN : A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3 D Point Clouds
Fast Resampling of 3D Point Clouds via Graphs
CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D Supervision
PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds
Complex-YOLO: Real-time 3D Object Detection on Point Clouds
PointCNN: Convolution On $\mathcal{X}$-Transformed Points
Registration of Non-Uniform Density 3D Point Clouds using Approximate Surface Reconstruction
Contour Detection in Unstructured 3D Point Clouds
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
PointPillars: Fast Encoders for Object Detection From Point Clouds
IMPLICIT SHAPE MODELS FOR OBJECT DETECTION IN 3D POINT CLOUDS
Fast and Robust Multi-view 3D Object Recognition in Point Clouds
VV-Net: Voxel VAE Net With Group Convolutions for Point Cloud Segmentation
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
Shape-based recognition of 3D point clouds in urban environments
CONTEXTUAL CLASSIFICATION OF POINT CLOUD DATA BY EXPLOITING INDIVIDUAL 3D NEIGBOURHOODS
Scalable Surface Reconstruction from Point Clouds with Extreme Scale and Density Diversity
Training-Based Object Recognition in Cluttered 3D Point Clouds
Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation
towards 3d point cloud based object maps for household environments .
How to Explain Individual Classification Decisions
A New Structure-Hole-Based Algorithm For Influence Maximization in Large Online Social Networks
Q-learning with experience replay in a dynamic environment
Software defined RADAR a state of the art