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This paper focuses on the task of room layout estimation from a monocular RGB image.
Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
Earlier work this paper cites.
The manhattan world assumption: Regularities in scene statistics which enable bayesian inference
J. M. Coughlan and A. L. Yuille · 2000
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Labelme: a database and web-based tool for image annotation
B. C. Russell, A. Torralba, K. P. Murphy, and W. T. Freeman · 2008
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Auto-context and its application to high-level vision tasks
Z. Tu · 2008
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Recovering the spatial layout of cluttered rooms
V. Hedau, D. Hoiem, and D. Forsyth · 2009
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A. Gupta, M. Hebert, T. Kanade, and D. M. Blei · 2010
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Earlier work this paper cites.
Bayesian geometric modeling of indoor scenes
L. Del Pero, J. Bowdish, D. Fried, B. Kermgard, E. Hartley, and K. Barnard · 2012
Earlier work this paper cites.
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V. Hedau, D. Hoiem, and D. Forsyth · 2012
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Efficient structured prediction for 3d indoor scene understanding
A. G. Schwing, T. Hazan, M. Pollefeys, and R. Urtasun · 2012
Earlier work this paper cites.
Understanding bayesian rooms using composite 3d object models
L. Del Pero, J. Bowdish, B. Kermgard, E. Hartley, and K. Barnard · 2013
Earlier work this paper cites.
Perceptual organization and recognition of indoor scenes from rgb-d images
S. Gupta, P. Arbelaez, and J. Malik · 2013
Earlier work this paper cites.
Manhattan junction catalogue for spatial reasoning of indoor scenes
S. Ramalingam, J. K. Pillai, A. Jain, and Y. Taguchi · 2013
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Estimating the 3d layout of indoor scenes and its clutter from depth sensors
J. Zhang, C. Kan, A. G. Schwing, and R. Urtasun · 2013
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Scene parsing by integrating function, geometry and appearance models
Y. Zhao and S.-C. Zhu · 2013
Earlier work this paper cites.
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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Recurrent human pose estimation
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Human pose estimation with iterative error feedback
J. Carreira, P. Agrawal, K. Fragkiadaki, and J. Malik · 2016
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Delay: Robust spatial layout estimation for cluttered indoor scenes
S. Dasgupta, K. Fang, K. Chen, and S. Savarese · 2016
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Deep image homography estimation
D. DeTone, T. Malisiewicz, and A. Rabinovich · 2016
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A recurrent encoder-decoder network for sequential face alignment
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A coarse-to-fine indoor layout estimation (cfile) method
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Single image 3d interpreter network
J. Wu, T. Xue, J. J. Lim, Y. Tian, J. B. Tenenbaum, A. Torralba, and W. T. Freeman · 2016
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Large-scale scene understanding challenge: Room layout estimation, 2016
Y. Zhang, F. Yu, S. Song, P. Xu, A. Seff, and J. Xiao · 2016
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Segnet: A deep convolutional encoder-decoder architecture for scene segmentation
V. Badrinarayanan, A. Kendall, and R. Cipolla · 2017
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