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This work addresses multi-class segmentation of indoor scenes with RGB-D inputs.
Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
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Colorization using optimization
Anat Levin Dani, Dani Lischinski, and Yair Weiss · 2004
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Efficient graph-based image segmentation
Pedro F. Felzenszwalb and Daniel P. Huttenlocher · 2004
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Learning Methods for generic object recognition with invariance to pose and lighting
Yann LeCun, Fu-Jie Huang, and Leon Bottou · 2004
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Decomposing a Scene into Geometric and Semantically Consistent Regions
Stephen Gould, Richard Fulton, and Daphne Koller · 2009
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SIFT Flow: Dense Correspondence across Scenes and its Applications
Ce Liu, Jenny Yuen, and Antonio Torralba · 2010
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A category-level 3-d object dataset: Putting the kinect to work
Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, and Trevor Darrell · 2011
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Torch7: A matlab-like environment for machines learning
C. Farabet R. Collobert, K. Kavukcuoglu · 2011
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Indoor scene segmentation using a structured light sensor
Nathan Silberman and Rob Fergus · 2011
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Deep neural networks segment neuronal membranes in electron microscopy images
Dan Claudiu Ciresan, Alessandro Giusti, Luca Maria Gambardella, and Jürgen Schmidhuber · 2012
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Multi-label energy minimization for object class segmentation
Camille Couprie · 2012
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Kinect and rgbd images: Challenges and applications
L. Cruz, D. Lucio, and L. Velho · 2012
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Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers
Clement Farabet, Camille Couprie, Laurent Najman, and Yann LeCun · 2012
Application of pretrained deep neural networks to large vocabulary speech recognition
Navdeep Jaitly, Patrick Nguyen, Andrew Senior, and Vincent Vanhoucke · 2012
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Rgb-(d) scene labeling: Features and algorithms
Xiaofeng Ren, Liefeng Bo, and D. Fox · 2012
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Convolutional-Recursive Deep Learning for 3D Object Classification
Richard Socher and Brody Huval and Bharath Bhat and Christopher D. Manning and Andrew Y. Ng · 2012
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Learning object-class segmentation with convolutional neural networks
Hannes Schulz and Sven Behnke · 2012
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Indoor segmentation and support inference from rgbd images
Nathan Silberman, Derek Hoiem, Pushmeet Kohli, and Rob Fergus · 2012
Later among the works it cites.
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Cited alongside, same era.
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2012
Cited alongside, same era.
http://kinectdata.com/
B3do: Berkeley 3-d object dataset
Cited in the paper.
http://pr.cs.cornell.edu/sceneunderstanding/data/data.php
Cornell-rgbd-dataset
Cited in the paper.
Camille Couprie, Clément Farabet, and Yann LeCun · 2013
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Learning hierarchical features for scene labeling
Clement Farabet, Camille Couprie, Laurent Najman, and Yann LeCun · 2013
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