Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: 2D-to-3D image conversion by learning depth from examples
Semi-automatic 2D to 3D image conversion using scale-space Random Walks and a graph cuts based depth prior
A Post-Rectification Approach of Depth Images of Kinect v2 for 3D Reconstruction of Indoor Scenes
Dense 3D Object Reconstruction from a Single Depth View
Vision-as-Inverse-Graphics: Obtaining a Rich 3D Explanation of a Scene from a Single Image
Depth and Geometry from a Single 2D Image Using Triangulation
Estimating image depth using shape collections
Accurate 3D pose estimation from a single depth image
HyperDepth: Learning Depth from Structured Light without Matching
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
Joint Geodesic Upsampling of Depth Images
Deep Learning Anthropomorphic 3D Point Clouds from a Single Depth Map Camera Viewpoint
Intrinsic Depth: Improving Depth Transfer with Intrinsic Images
Learning Fine-Scaled Depth Maps from Single RGB Images
3D Object Dense Reconstruction from a Single Depth View
DeepStereo Dense Depth Estimation from Stereo Image Pairs using Convolutional Neural Networks
Inferring Point Clouds from Single Monocular Images by Depth Intermediation
Recovering 3D Planes from a Single Image via Convolutional Neural Networks
Deep convolutional neural fields for depth estimation from a single image
3D attention-driven depth acquisition for object identification
SurfConv: Bridging 3D and 2D Convolution for RGBD Images
physical attractiveness and the “ nice guy paradox ” : do nice guys really finish last ? 1 .
Promotion systems and organizational performance: A contingency model
ant algorithm for the graph matching problem .
Analysis of Nuclear Norm Regularization for Full-rank Matrix Completion
Photo tourism: exploring photo collections in 3D