Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections
Unsupervised 3D shape segmentation and co-segmentation via deep learning
A Fast Spectral Method for Active 3D Shape Reconstruction
Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes
Segment based 3D object shape priors
A Deeper Look at 3 D Shape Classifiers
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
O-CNN: octree-based convolutional neural networks for 3D shape analysis
Learning to Reconstruct High-Quality 3D Shapes with Cascaded Fully Convolutional Networks
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels
Fine-grained semi-supervised labeling of large shape collections
SHREC ’ 17 Track Large-Scale 3 D Shape Retrieval from ShapeNet Core 55
A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues.
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling
Real-Time Progressive 3D Semantic Segmentation for Indoor Scenes
Segmentation and Modeling of Full Human Body Shape From 3-D Scan Data: A Survey
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
MeshNet: Mesh Neural Network for 3D Shape Representation
SurfNet: Generating 3D Shape Surfaces Using Deep Residual Networks
Learning part-based templates from large collections of 3D shapes
Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution
ROBOT KINEMATICS AND DYNAMICS
Rotation Invariant Spherical Harmonic Representation of 3D Shape Descriptors
Accidental displacement and migration of endosseous implants into adjacent craniofacial structures: A review and update
Postnatal depression and social supports in Vietnamese, Arabic and Anglo-Celtic mothers
Remote Sensing Image Retrieval Using Convolutional Neural Network Features and Weighted Distance