Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Convolutional Neural Network-Based Regression for Depth Prediction in Digital Holography
Phase recovery and holographic image reconstruction using deep learning in neural networks
Deep Ordinal Regression Network for Monocular Depth Estimation
3D depth estimation from a holoscopic 3D image
MegaDepth: Learning Single-View Depth Prediction from Internet Photos
DDRNet: Depth Map Denoising and Refinement for Consumer Depth Cameras Using Cascaded CNNs
Depth Analogy: Data-Driven Approach for Single Image Depth Estimation Using Gradient Samples
Single image depth estimation by dilated deep residual convolutional neural network and soft-weight-sum inference
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
Deep convolutional neural fields for depth estimation from a single image
A deep representation for depth images from synthetic data
DeepStereo Dense Depth Estimation from Stereo Image Pairs using Convolutional Neural Networks
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
HDR image reconstruction from a single exposure using deep CNNs
Mobile hologram verification with deep learning
Color-Guided Depth Map Super Resolution Using Convolutional Neural Network
Autoencoder-based holographic image restoration
Deep Monocular Depth Estimation via Integration of Global and Local Predictions
Deeper Depth Prediction with Fully Convolutional Residual Networks
3-D Depth Reconstruction from a Single Still Image
Workload Management in Dynamic IT Service Delivery Organizations
Twelve tips for developing an integrated curriculum
Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression
Decentralized and centralized model predictive control to reduce the bullwhip effect in supply chain management
Chainer : a Next-Generation Open Source Framework for Deep Learning