Guided Stereo Matching, CVPR 2019
Download paper (PDF)
Download source code (github)
Learning monocular depth estimation infusing traditional stereo knowledge, CVPR 2019
Download paper (PDF)
Download source code (github)
Real-time self-adaptive deep stereo, CVPR 2019
Download paper (PDF)
Download source code (github)
Geometry meets semantic for semi-supervised monocular depth estimation, ACCV 2018
Download paper (PDF)
Download source code (github)
Learning monocular depth estimation with unsupervised trinocular assumptions, 3DV 2018
Download paper (PDF)
Download source code (github)
Towards real-time unsupervised monocular depth estimation on CPU, IROS 2018
Download paper (PDF)
Download source code (github)
Beyond local reasoning for stereo confidence estimation with deep learning, ECCV 2018
Download paper (PDF)
Download source code (github)
Learning confidence measure in the wild, BMVC 2017
Download paper (PDF)
Download source code (github)
Unsupervised adaptation for deep stereo, ICCV 2017
Download paper (PDF)
Source code (github)
Quantitative evaluation of confidence measures in a machine learning world, ICCV 2017
Download paper (PDF)
Download source code (.zip)
Learning to predict stereo reliability enforcing local consistency of confidence maps, CVPR 2017
Download paper (PDF)
Download networks and testing script (.zip)
Download training scripts (.zip)
Learning a general-purpose confidence measure based on O(1) features and a smarter aggregation strategy for semi global matching, 3DV 2016
Download paper (PDF)
Download source code for O1 features, training and testing (.zip)
Deep Stereo Fusion: combining multiple disparity hypotheses with deep-learning, 3DV 2016
Download paper (PDF)
Download network and testing script (.zip)
Download training scripts (.zip)
Learning from scratch a confidence measure, BMVC 2016
Download paper (PDF)
NEW! Download Tensorflow code (github), thanks to Fabio Tosi
(OLD) Download network and testing script (.zip)
(OLD) Download training and testing scripts (.zip)
<
