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In this paper, we present a novel framework to detect line segments in man-made environments.
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Pietro Parodi and Giulia Piccioli · 1996
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Cordelia Schmid and Andrew Zisserman · 1997
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Farzin Mokhtarian and Riku Suomela · 1998
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Laxmi Parida, Davi Geiger, and Robert Hummel · 1998
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Robust detection of lines using the progressive probabilistic hough transform
Jiri Matas, Charles Galambos, and Josef Kittler · 2000
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Frédéric Cao · 2003
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Two bayesian methods for junction classification
Miguel A Cazorla and Francisco Escolano · 2003
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Accurate and robust line segment extraction by analyzing distribution around peaks in hough space
Yasutaka Furukawa and Yoshihisa Shinagawa · 2003
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Learning to detect natural image boundaries using local brightness, color, and texture cues
David R Martin, Charless C Fowlkes, and Jitendra Malik · 2004
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Psychophysics with junctions in real images
Josh McDermott · 2004
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Automatic single-image 3d reconstructions of indoor manhattan world scenes
Erick Delage, Honglak Lee, and Andrew Y. Ng · 2007
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An improved curvature scale-space corner detector and a robust corner matching approach for transformed image identification
Mohammad Awrangjeb and Guojun Lu · 2008
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Efficient edge-based methods for estimating manhattan frames in urban imagery
Patrick Denis, James H Elder, and Francisco J Estrada · 2008
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Using contours to detect and localize junctions in natural images
Michael Maire, Pablo Arbelaez, Charless Fowlkes, and Jitendra Malik · 2008
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A model-based approach to junction detection using radial energy
Eric D Sinzinger · 2008
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Lsd: A fast line segment detector with a false detection control
Rafael Grompone Von Gioi, Jeremie Jakubowicz, Jean-Michel Morel, and Gregory Randall · 2010
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Edlines: A real-time line segment detector with a false detection control
Cuneyt Akinlar and Cihan Topal · 2011
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Line-based relative pose estimation
Ali Elqursh and Ahmed Elgammal · 2011
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Manhattan scene understanding using monocular, stereo, and 3d features
Alex Flint, David Murray, and Ian Reid · 2011
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Line segment detection using weighted mean shift procedures on a 2d slice sampling strategy
Marcos Nieto, Carlos Cuevas, Luis Salgado, and Narciso García · 2011
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Manhattan junction catalogue for spatial reasoning of indoor scenes
Srikumar Ramalingam, Jaishanker K Pillai, Arpit Jain, and Yuichi Taguchi · 2013
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Learning a deep convolutional network for image super-resolution
Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang · 2014
Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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Robust and accurate line-and/or point-based pose estimation without manhattan assumptions
Yohann Salaün, Renaud Marlet, and Pascal Monasse · 2016
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Semantic understanding of scenes through the ade20k dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, and Antonio Torralba · 2016
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Mcmlsd: A dynamic programming approach to line segment detection
Emilio J Almazan, Ron Tal, Yiming Qian, and James H Elder · 2017
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Mask r-cnn
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
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Accurate junction detection and characterization in natural images
Gui-Song Xia, Julie Delon, and Yann Gousseau · 2014
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Structure and motion from line correspondences: representation, projection, initialization and sparse bundle adjustment
Lilian Zhang and Reinhard Koch · 2014
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A generalisable framework for saliency-based line segment detection
Mark Brown, David Windridge, and Jean-Yves Guillemaut · 2015
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Fast r-cnn
Ross Girshick · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Kaiming He, Georgia Gkioxari, Piotr Dollar, and Ross Girshick · 2017
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Efficient 3d scene abstraction using line segments
Manuel Hofer, Michael Maurer, and Horst Bischof · 2017
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Roomnet: End-to-end room layout estimation
Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, and Andrew Rabinovich · 2017
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Pixels to graphs by associative embedding
Alejandro Newell and Jia Deng · 2017
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Associative embedding: End-to-end learning for joint detection and grouping
Alejandro Newell, Zhiao Huang, and Jia Deng · 2017
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Inception-v4, inception-resnet and the impact of residual connections on learning
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, and Alexander A Alemi · 2017
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Scene graph generation by iterative message passing
Danfei Xu, Yuke Zhu, Christopher B Choy, and Li Fei-Fei · 2017
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Physics inspired optimization on semantic transfer features: An alternative method for room layout estimation
Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, and Li Zhang · 2017
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Scene parsing through ade20k dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, and Antonio Torralba · 2017
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Learning to parse wireframes in images of man-made environments
Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, and Yi Ma · 2018
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Indoor rgb-d compass from a single line and plane
Pyojin Kim, Brian Coltin, and H Jin Kim · 2018
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Group normalization
Yuxin Wu and Kaiming He · 2018
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Unified perceptual parsing for scene understanding
Tete Xiao, Yingcheng Liu, Bolei Zhou, Yuning Jiang, and Jian Sun · 2018
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Automatic 3d indoor scene modeling from single panorama
Yang Yang, Shi Jin, Ruiyang Liu, Sing Bing Kang, and Jingyi Yu · 2018
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Layoutnet: Reconstructing the 3d room layout from a single rgb image
Chuhang Zou, Alex Colburn, Qi Shan, and Derek Hoiem · 2018
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