Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Progressive Hard-Mining Network for Monocular Depth Estimation
Multi-scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation
Estimating Depth from RGB and Sparse Sensing
GeoCueDepth: Exploiting geometric structure cues to estimate depth from a single image
Light Field Scale-Depth Space Transform for Dense Depth Estimation
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
Semiparallel deep neural network hybrid architecture: first application on depth from monocular camera
Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss
Single image depth estimation from predicted semantic labels
Direction matters: Depth estimation with a surface normal classifier
Curriculum Learning for Depth Estimation with Deep Convolutional Neural Networks
Monocular Object Instance Segmentation and Depth Ordering with CNNs
Real-time Multi-stereo Depth Estimation on GPU with Approximative Discontinuity Handling
Exploiting Depth From Single Monocular Images for Object Detection and Semantic Segmentation.
Real-time Convolutional Networks for Depth-based Human Pose Estimation
Depth Estimation Using Monocular and Stereo Cues
Unsupervised Adversarial Depth Estimation Using Cycled Generative Networks
Composite Focus Measure for High Quality Depth Maps
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry
Fast and High Quality Fusion of Depth Maps
Depth Map Estimation Using Census Transform for Light Field Cameras
Conditional Infilling GANs for Data Augmentation in Mammogram Classification
Ultra-Fast Shapelets for Time Series Classification
Classification of covariance matrices using a Riemannian-based kernel for BCI applications
The impact of user generated content on consumer based brand equity
Random forests