Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Deep points consolidation
Consolidation of unorganized point clouds for surface reconstruction
Efficient Dense Point Cloud Object Reconstruction Using Deformation Vector Fields
Spherical Convolutional Neural Network for 3D Point Clouds
How to Select Good Neighboring Images in Depth-Map Merging Based 3D Modeling
Inferring Point Clouds from Single Monocular Images by Depth Intermediation
PointNetGPD: Detecting Grasp Configurations from Point Sets
Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks
Efficient depth peeling via bucket sort
3 DCNN-DQN-RNN : A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3 D Point Clouds
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation
Fast and High Quality Fusion of Depth Maps
Current concepts in procedural consolidation
A Compromise Principle in Deep Monocular Depth Estimation
Fast plane extraction in organized point clouds using agglomerative hierarchical clustering
Shape-From-Focus Depth Reconstruction With a Spatial Consistency Model
Hedged Deep Tracking
Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network
Regression convolutional network for vanishing point detection
Density-based Denoising of Point Cloud
deep k - means : re - training and parameter sharing with harder cluster assignments for compressing deep convolutions .
AEPE: An area and power efficient RRAM crossbar-based accelerator for deep CNNs
Cloud computing in academic institutions
A Method to Generate a Modular ifcOWL Ontology
Geometric structures for three-dimensional shape representation
Identifying Narrative Clause Types in Personal Stories