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Monocular depth estimation, which plays a crucial role in understanding 3D scene geometry, is an ill-posed problem.
Support vector learning for ordinal regression
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A simple approach to ordinal classification
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Modeling the shape of the scene: A holistic representation of the spatial envelope
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Pranking with ranking
K. Crammer and Y. Singer · 2002
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Computer Vision: a Modern Approach
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A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
D. Scharstein and R. Szeliski · 2002
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Ranking with large margin principle: Two approaches
A. Shashua and A. Levin · 2003
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Depth estimation and image restoration using defocused stereo pairs
A. Rajagopalan, S. Chaudhuri, and U. Mudenagudi · 2004
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Learning depth from single monocular images
A. Saxena, S. H. Chung, and A. Y. Ng · 2006
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Recovering surface layout from an image
D. Hoiem, A. A. Efros, and M. Hebert · 2007
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Make3d: Learning 3d scene structure from a single still image
A. Saxena, M. Sun, and A. Y. Ng · 2009
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Single image depth estimation from predicted semantic labels
B. Liu, S. Gould, and D. Koller · 2010
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Indoor segmentation and support inference from rgbd images
P. K. Nathan Silberman, Derek Hoiem and R. Fergus · 2012
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Vision meets robotics: The kitti dataset
A. Geiger, P. Lenz, C. Stiller, and R. Urtasun · 2013
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Learning-based, automatic 2d-to-3d image and video conversion
J. Konrad, M. Wang, P. Ishwar, C. Wu, and D. Mukherjee · 2013
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Depth map prediction from a single image using a multi-scale deep network
D. Eigen, C. Puhrsch, and R. Fergus · 2014
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
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Depth transfer: Depth extraction from video using non-parametric sampling
K. Karsch, C. Liu, and S. B. Kang · 2014
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Pulling things out of perspective
L. Ladicky, J. Shi, and M. Pollefeys · 2014
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Dept: depth estimation by parameter transfer for single still images
X. Li, H. Qin, Y. Wang, Y. Zhang, and Q. Dai · 2014
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Discrete-continuous depth estimation from a single image
M. Liu, M. Salzmann, and X. He · 2014
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Local metric learning for exemplar-based object detection
X. You, Q. Li, D. Tao, W. Ou, and M. Gong · 2014
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Semantic image segmentation with deep convolutional nets and fully connected crfs
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2015
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Depth analogy: Data-driven approach for single image depth estimation using gradient samples
S. Choi, D. Min, B. Ham, Y. Kim, C. Oh, and K. Sohn · 2015
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Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
D. Eigen and R. Fergus · 2015
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Direction matters: Depth estimation with a surface normal classifier
C. Hane, L. Ladicky, and M. Pollefeys · 2015
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Regression modeling strategies: with applications to linear models, logistic and ordinal regression, and survival analysis
F. E. Harrell Jr · 2015
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Unsupervised cnn for single view depth estimation: Geometry to the rescue
R. Garg, G. Carneiro, and I. Reid · 2016
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Densereg: Fully convolutional dense shape regression in-the-wild
R. A. Güler, G. Trigeorgis, E. Antonakos, P. Snape, S. Zafeiriou, and I. Kokkinos · 2016
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High-quality depth from uncalibrated small motion clip
H. Ha, S. Im, J. Park, H.-G. Jeon, and I. S. Kweon · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Unified depth prediction and intrinsic image decomposition from a single image via joint convolutional neural fields
S. Kim, K. Park, K. Sohn, and S. Lin · 2016
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Deeper depth prediction with fully convolutional residual networks
I. Laina, C. Rupprecht, V. Belagiannis, F. Tombari, and N. Navab · 2016
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N. Kong and M. J. Black · 2015
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Depth and surface normal estimation from monocular images using regression on deep features and hierarchical crfs
B. Li, C. Shen, Y. Dai, A. van den Hengel, and M. He · 2015
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Learning lightness from human judgement on relative reflectance
T. Narihira, M. Maire, and S. X. Yu · 2015
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ImageNet Large Scale Visual Recognition Challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
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Scene intrinsics and depth from a single image
E. Shelhamer, J. T. Barron, and T. Darrell · 2015
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Break ames room illusion: depth from general single images
J. Shi, X. Tao, L. Xu, and J. Jia · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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Learning depth from single monocular images using deep convolutional neural fields
F. Liu, C. Shen, G. Lin, and I. Reid · 2016
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Ordinal regression with multiple output cnn for age estimation
Z. Niu, M. Zhou, L. Wang, X. Gao, and G. Hua · 2016
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Dense monocular depth estimation in complex dynamic scenes
R. Ranftl, V. Vineet, Q. Chen, and V. Koltun · 2016
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Monocular depth estimation using neural regression forest
A. Roy and S. Todorovic · 2016
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Deep3d: Fully automatic 2d-to-3d video conversion with deep convolutional neural networks
J. Xie, R. Girshick, and A. Farhadi · 2016
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Multi-scale context aggregation by dilated convolutions
F. Yu and V. Koltun · 2016
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Matterport3D: Learning from RGB-D data in indoor environments
A. Chang, A. Dai, T. Funkhouser, M. Halber, M. Niessner, M. Savva, S. Song, A. Zeng, and Y. Zhang · 2017
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Rethinking atrous convolution for semantic image segmentation
L.-C. Chen, G. Papandreou, F. Schroff, and H. Adam · 2017
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
A. Dai, A. X. Chang, M. Savva, M. Halber, T. Funkhouser, and M. Nießner · 2017
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Depth estimation using structured light flow – analysis of projected pattern flow on an object’s surface
R. Furukawa, R. Sagawa, and H. Kawasaki · 2017
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Unsupervised monocular depth estimation with left-right consistency
C. Godard, O. Mac Aodha, and G. J. Brostow · 2017
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What uncertainties do we need in bayesian deep learning for computer vision?
A. Kendall and Y. Gal · 2017
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Semi-supervised deep learning for monocular depth map prediction
Y. Kuznietsov, J. Stückler, and B. Leibe · 2017
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A two-streamed network for estimating fine-scaled depth maps from single rgb images
J. Li, R. Klein, and A. Yao · 2017
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Multi-scale continuous crfs as sequential deep networks for monocular depth estimation
D. Xu, E. Ricci, W. Ouyang, X. Wang, and N. Sebe · 2017
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Pyramid scene parsing network
H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia · 2017
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