← Analysis
Computer Vision › Analysis ›

Depth Estimation

1229 directly classified papers

Papers per year

Papers

Improved Stereo Matching With Constant Highway Networks and Reflective Confidence Learning CVPR 2017
Fast Multi-Frame Stereo Scene Flow With Motion Segmentation CVPR 2017
Face Normals "In-The-Wild" Using Fully Convolutional Networks CVPR 2017
SGM-Nets: Semi-Global Matching With Neural Networks CVPR 2017
CNN-SLAM: Real-Time Dense Monocular SLAM With Learned Depth Prediction CVPR 2017
Semi-Supervised Deep Learning for Monocular Depth Map Prediction CVPR 2017
Single Image Camera Calibration With Lenticular Arrays for Augmented Reality CVPR 2016
Robust Light Field Depth Estimation for Noisy Scene With Occlusion CVPR 2016
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions NIPS 2016
Stereo Matching With Color and Monochrome Cameras in Low-Light Conditions CVPR 2016
Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented Gradients CVPR 2016
3D Reconstruction of Transparent Objects With Position-Normal Consistency CVPR 2016
Macroscopic Interferometry: Rethinking Depth Estimation With Frequency-Domain Time-Of-Flight CVPR 2016
Heterogeneous Light Fields CVPR 2016
Convolutional Networks for Shape From Light Field CVPR 2016
Seeing Glassware: from Edge Detection to Pose Estimation and Shape Recovery RSS 2016
Just Look at the Image: Viewpoint-Specific Surface Normal Prediction for Improved Multi-View Reconstruction CVPR 2016
Efficient Deep Learning for Stereo Matching CVPR 2016
Monocular Depth Estimation Using Neural Regression Forest CVPR 2016
Depth From Semi-Calibrated Stereo and Defocus CVPR 2016
Using Self-Contradiction to Learn Confidence Measures in Stereo Vision CVPR 2016
Dense Monocular Depth Estimation in Complex Dynamic Scenes CVPR 2016
Structured Prediction of Unobserved Voxels From a Single Depth Image CVPR 2016
Joint Multiview Segmentation and Localization of RGB-D Images Using Depth-Induced Silhouette Consistency CVPR 2016
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches JMLR 2016