Co-occurring keywords · papers mentioning both
Papers
3D Shape Segmentation With Projective Convolutional Networks
CVPR 2017
Accurate Depth and Normal Maps From Occlusion-Aware Focal Stack Symmetry
CVPR 2017
A Semi-Polar Grid Strategy for the Three-Dimensional Finite Element Simulation of Vowel-Vowel Sequences
Interspeech 2017
Coarse-To-Fine Volumetric Prediction for Single-Image 3D Human Pose
CVPR 2017
Geodesic Distance Descriptors
CVPR 2017
Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations
CVPR 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
NeurIPS 2017
SGM-Nets: Semi-Global Matching With Neural Networks
CVPR 2017
Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes With Deep Generative Networks
CVPR 2017
3D Semantic Parsing of Large-Scale Indoor Spaces
CVPR 2016
A Continuous Occlusion Model for Road Scene Understanding
CVPR 2016
BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle Recognition
CVPR 2016
Constructing Canonical Regions for Fast and Effective View Selection
CVPR 2016
Contour Detection in Unstructured 3D Point Clouds
CVPR 2016
Deep Exemplar 2D-3D Detection by Adapting From Real to Rendered Views
CVPR 2016
Dense Human Body Correspondences Using Convolutional Networks
CVPR 2016
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions
NeurIPS 2016
Detecting Migrating Birds at Night
CVPR 2016
Efficient Globally Optimal 2D-To-3D Deformable Shape Matching
CVPR 2016
FPNN: Field Probing Neural Networks for 3D Data
NeurIPS 2016
Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition
NeurIPS 2016
Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling
CVPR 2016
Learning Dense Correspondence via 3D-Guided Cycle Consistency
CVPR 2016
MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild
NeurIPS 2016
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
CVPR 2016