Fetching the paper…
Reading the bibliography…
In the past few years, the number of fine-art collections that are digitized and publicly available has been growing rapidly.
Visual thinking
R. Arnheim · 1969
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
Earlier work this paper cites.
Hierarchical classification of paintings using face- and brush stroke models
R. Sablatnig, P. Kammerer, and E. Zolda · 1998
Earlier work this paper cites.
Modeling the shape of the scene: A holistic representation of the spatial envelope
A. Oliva and A. Torralba · 2001
Earlier work this paper cites.
Neighbourhood components analysis
J. Goldberger, S. Roweis, G. Hinton, and R. Salakhutdinov · 2004
Earlier work this paper cites.
Studying digital imagery of ancient paintings by mixtures of stochastic models
J. Li and J. Z. Wang · 2004
Earlier work this paper cites.
Distinctive image features from scale-invariant keypoints
D. G. Lowe · 2004
Earlier work this paper cites.
A digital technique for art authentication
S. Lyu, D. Rockmore, and H. Farid · 2004
Earlier work this paper cites.
Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
Earlier work this paper cites.
The classification of style in fine-art painting
T. E. Lombardi · 2005
Earlier work this paper cites.
Csift: A sift descriptor with color invariant characteristics
A. E. Abdel-Hakim and A. A. Farag · 2006
Earlier work this paper cites.
Information-theoretic metric learning
J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. S. Dhillon · 2007
Cited alongside, same era.
Metric learning for kernel regression
K. Weinberger and G. Tesauro · 2007
Cited alongside, same era.
Foundations of Art and Design
L. Fichner-Rathus · 2008
Cited alongside, same era.
Image processing for artist identification
C. R. Johnson, E. Hendriks, I. J. Berezhnoy, E. Brevdo, S. M. Hughes, I. Daubechies, J. Li, E. Postma, and J. Z. Wang · 2008
Cited alongside, same era.
Automatic extraction of brushstroke orientation from paintings
I. E. Berezhnoy, E. O. Postma, and H. J. van den Herik · 2009
Cited alongside, same era.
Detection of forgery in paintings using supervised learning
G. Polatkan, S. Jafarpour, A. Brasoveanu, S. Hughes, and I. Daubechies · 2009
Cited alongside, same era.
Picodes: Learning a compact code for novel-category recognition
A. Bergamo, L. Torresani, and A. W. Fitzgibbon · 2011
Later among the works it cites.
Towards automated classification of fine-art painting style: A comparative study
R. S. Arora and A. M. Elgammal · 2012
Later among the works it cites.
Artistic image classification: An analysis on the printart database
G. Carneiro, N. P. da Silva, A. D. Bue, and J. P. Costeira · 2012
Later among the works it cites.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Later among the works it cites.
Rhythmic brushstrokes distinguish van gogh from his contemporaries: Findings via automated brushstroke extraction
J. Li, L. Yao, E. Hendriks, and J. Z. Wang · 2012
Later among the works it cites.
Positive semidefinite metric learning using boosting-like algorithms
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Computer vision and computer graphics analysis of paintings and drawings: An introduction to the literature
D. G. Stork · 2009
Cited alongside, same era.
Distance metric learning for large margin nearest neighbor classification
K. Q. Weinberger and L. K. Saul · 2009
Cited alongside, same era.
Computer Vision and Image Analysis of Art: Proceedings of the SPIE Electronic Imaging Symposium, San Jose Convention Center, 18-22 January 2010
A. Bentkowska-Kafel and J. Coddington · 2010
Cited alongside, same era.
Who painted this painting?
M. V. Fahad Shahbaz Khan, Joost van de Weijer · 2010
Cited alongside, same era.
Efficient object category recognition using classemes
L. Torresani, M. Szummer, and A. Fitzgibbon · 2010
Cited alongside, same era.
C. Shen, J. Kim, L. Wang, and A. van den Hengel · 2012
Later among the works it cites.
Classification of artistic styles using binarized features derived from a deep neural network
Y. Bar, N. Levy, and L. Wolf · 2014
Later among the works it cites.
Classemes and other classifier-based features for efficient object categorization
A. Bergamo and L. Torresani · 2014
Later among the works it cites.
Knowledge discovery of artistic influences: A metric learning approach
B. Saleh, K. Abe, and A. Elgammal · 2014
Later among the works it cites.
Matconvnet – convolutional neural networks for matlab
A. Vedaldi and K. Lenc · 2014
Later among the works it cites.