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The field of functional recognition or affordance estimation from images has seen a revival in recent years.
The ecological approach to visual perception
J. Gibson · 1979
Earlier work this paper cites.
Against direct perception
S. Ullman · 1980
Earlier work this paper cites.
Learning physical description from functional definitions, examples and precedents
P. Winston, T. Binford, B. Katz, and M. Lowry · 1984
Earlier work this paper cites.
Achieving generalized object recognition through reasoning about association of function to structure
L. Stark and K. Bowyer · 1991
Earlier work this paper cites.
Recognition by functional parts
E. Rivlin, S. Dickinson, and A. Rosenfeld · 1995
Earlier work this paper cites.
Vision Science: Photons to Phenomenology
S. E. Palmer · 1999
Earlier work this paper cites.
Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
Earlier work this paper cites.
Objects in action: An approach for combining action understanding and object perception
A. Gupta and L. S. Davis · 2007
Earlier work this paper cites.
Simultaneous visual recognition of manipulation actions and manipulated objects
H. Kjellstrom, J. Romero, D. Martinez, and D. Kragic · 2008
Earlier work this paper cites.
Recovering the spatial layout of cluttered rooms
V. Hedau, D. Hoiem, and D. Forsyth · 2009
Earlier work this paper cites.
Associative hierarchical crfs for object class image segmentation
L. Ladicky, C. Russell, P. Kohli, and P. H. Torr · 2009
Earlier work this paper cites.
Graph cut based inference with co-occurrence statistics
L. Ladicky, C. Russell, P. Kohli, and P. H. Torr · 2010
Earlier work this paper cites.
Modeling mutual context of object and human pose in human-object interaction activities
B. Yao and L. Fei-Fei · 2010
Earlier work this paper cites.
Using object affordances to improve object recognition
C. Castellini, T. Tommasi, N. Noceti, F. Odone, and B. Caputo · 2011
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What makes a chair a chair?
H. Grabner, J. Gall, and L. van Gool · 2011
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From 3D scene geometry to human workspace
A. Gupta, S. Satkin, A. Efros, and M. Hebert · 2011
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Scene semantics from long-term observation of people
V. Delaitre, D. Fouhey, I. Laptev, J. Sivic, A. Efros, and A. Gupta · 2012
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What makes Paris look like Paris?
C. Doersch, S. Singh, A. Gupta, J. Sivic, and A. A. Efros · 2012
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People watching: Human actions as a cue for single-view geometry
D. F. Fouhey, V. Delaitre, A. Gupta, A. A. Efros, I. Laptev, and J. Sivic · 2012
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Data-driven 3D primitives for single image understanding
D. F. Fouhey, A. Gupta, and M. Hebert · 2013
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Perceptual organization and recognition of indoor scenes from RGB-D images
S. Gupta, P. Arbelaez, and J. Malik · 2013
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A linear approach to matching cuboids in RGBD images
H. Jiang and J. Xiao · 2013
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Scene parsing by integrating function, geometry and appearance models
Y. Zhao and S. Zhu · 2013
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Do deep nets really need to be deep?
L. J. Ba and R. Caruana · 2014
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Unfolding an indoor origami world
D. F. Fouhey, A. Gupta, and M. Hebert · 2014
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Multi-attribute spaces: Calibration for attribute fusion and similarity search
W. J. Scheirer, N. Kumar, P. N. Belhumeur, and T. E. Boult · 2012
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Indoor segmentation and support inference from RGBD images
N. Silberman, D. Hoiem, P. Kohli, and R. Fergus · 2012
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Unsupervised discovery of mid-level discriminative patches
S. Singh, A. Gupta, and A. A. Efros · 2012
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Indoor semantic segmentation using depth information
C. Couprie, C. Farabet, Y. LeCun, and L. Najman · 2013
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Inferring ‘dark matter’ and ‘dark energy’ from videos
S. T. D. Xie and S. Zhu · 2013
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Physically-grounded spatio-temporal object affordances
H. Koppula and A. Saxena · 2014
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Discriminatively trained dense surface normal estimation
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Reasoning about object affordances in a knowledge base representation
Y. Zhu, A. Fathi, and L. Fei-Fei · 2014
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Anticipating human activities using object affordances for reactive robotic response
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Designing deep networks for surface normal estimation
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Understanding tools: Task-oriented object modeling, learning and recognition
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