Fetching the paper…
Reading the bibliography…
The cross-depiction problem is that of recognising visual objects regardless of whether they are photographed, painted, drawn, etc.
The representation and matching of pictorial structures
M. A. Fischler and R. A. Elschlager · 1973
Earlier work this paper cites.
Hierarchical decomposition and axial shape description
H. Rom and G. Medioni · 1993
Earlier work this paper cites.
Shock graphs and shape matching
K. Siddiqi, A. Shokoufandeh, S. J. Dickinson, and S. W. Zucker · 1999
Earlier work this paper cites.
Efficient deformable template detection and localization without user initialization
J. Coughlan, A. Yuille, C. English, and D. Snow · 2000
Earlier work this paper cites.
Geometric blur for template matching
A. C. Berg and J. Malik · 2001
Earlier work this paper cites.
Active appearance models
T. F. Cootes, G. J. Edwards, and C. J. Taylor · 2001
Earlier work this paper cites.
Object class recognition by unsupervised scale-invariant learning
R. Fergus, P. Perona, and A. Zisserman · 2003
Earlier work this paper cites.
Skeleton based shape matching and retrieval
H. Sundar, D. Silver, N. Gagvani, and S. Dickinson · 2003
Earlier work this paper cites.
Visual categorization with bags of keypoints
G. Csurka, C. R. Dance, L. Fan, J. Willamowski, and C. Bray · 2004
Earlier work this paper cites.
Distinctive image features from scale-invariant keypoints
D. G. Lowe · 2004
Earlier work this paper cites.
Spatial priors for part-based recognition using statistical models
D. Crandall, P. Felzenszwalb, and D. Huttenlocher · 2005
Earlier work this paper cites.
Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
Earlier work this paper cites.
Pictorial structures for object recognition
P. F. Felzenszwalb and D. P. Huttenlocher · 2005
Earlier work this paper cites.
Learning object shape: From drawings to images
G. Elidan, G. Heitz, and D. Koller · 2006
Earlier work this paper cites.
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
S. Lazebnik, C. Schmid, and J. Ponce · 2006
Earlier work this paper cites.
Pop: Patchwork of parts models for object recognition
Y. Amit and A. Trouvé · 2007
Earlier work this paper cites.
Beyond local appearance: Category recognition from pairwise interactions of simple features
M. Leordeanu and M. H. andR. Sukthankar · 2007
Earlier work this paper cites.
Matching local self-similarities across images and videos
E. Shechtman and M. Irani · 2007
Earlier work this paper cites.
Groups of adjacent contour segments for object detection
V. Ferrari, L. Fevrier, F. Jurie, and C. Schmid · 2008
Earlier work this paper cites.
Robust object detection with interleaved categorization and segmentation
B. Leibe, A. Leonardis, and B. Schiele · 2008
Earlier work this paper cites.
VLFeat: An open and portable library of computer vision algorithms
A. Vedaldi and B. Fulkerson · 2008
Cited alongside, same era.
Efficient retrieval of deformable shape classes using local self-similarities
K. Chatfield, J. Philbin, and A. Zisserman · 2009
Cited alongside, same era.
Storyboard sketches for content based video retrieval
J. P. Collomosse, G. McNeill, and Y. Qian · 2009
Cited alongside, same era.
Recognition using regions
C. Gu, J. J. Lim, P. Arbelaez, and J. Malik · 2009
Cited alongside, same era.
The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010
Cited alongside, same era.
Object detection with discriminatively trained part-based models
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010
Cited alongside, same era.
Geodesic flow kernel for unsupervised domain adaptation
B. Gong, Y. Shi, F. Sha, and K. Grauman · 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.
Object-centric spatial pooling for image classification
O. Russakovsky, Y. Lin, K. Yu, and L. Fei-Fei · 2012
Later among the works it cites.
Prime shapes in natural images
Q. Wu and P. Hall · 2012
Later among the works it cites.
Of gods and goats: Weakly supervised learning of figurative art
E. J. Crowley and A. Zisserman · 2013
Later among the works it cites.
Unsupervised visual domain adaptation using subspace alignment
B. Fernando, A. Habrard, M. Sebban, and T. Tuytelaars · 2013
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Object detection with discriminatively trained part based models
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010
Cited alongside, same era.
From images to shape models for object detection
V. Ferrari, F. Jurie, and C. Schmid · 2010
Cited alongside, same era.
Gradient field descriptor for sketch based retrieval and localization
R. Hu, M. Barnard, and J. P. Collomosse · 2010
Cited alongside, same era.
Classifying textile designs using bags of shapes
W. Jia and S. J. McKenna · 2010
Cited alongside, same era.
Improving the fisher kernel for large-scale image classification
F. Perronnin, J. Sánchez, and T. Mensink · 2010
Cited alongside, same era.
Adapting visual category models to new domains
K. Saenko, B. Kulis, M. Fritz, and T. Darrell · 2010
Cited alongside, same era.
Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation
B. Gong, K. Grauman, and F. Sha · 2013
Later among the works it cites.
Simple art as abstractions of photographs
P. Hall and Y.-Z. Song · 2013
Later among the works it cites.
A performance evaluation of gradient field hog descriptor for sketch based image retrieval
R. Hu and J. Collomosse · 2013
Later among the works it cites.
Markov random fields for sketch based video retrieval
R. Hu, S. James, T. Wang, and J. Collomosse · 2013
Later among the works it cites.
Sketch recognition by ensemble matching of structured features
Y. Li, Y.-Z. Song, and S. Gong · 2013
Later among the works it cites.
Abstract art by shape classification
Y.-Z. Song, D. Pickup, C. Li, P. Rosin, and P. Hall · 2013
Later among the works it cites.
Selective search for object recognition
J. Uijlings, K. van de Sande, T. Gevers, and A. Smeulders · 2013
Later among the works it cites.
Modelling visual objects invariant to depictive style
Q. Wu and P. Hall · 2013
Later among the works it cites.
In search of art
E. Crowley and A. Zisserman · 2014
Later among the works it cites.
The state of the art: Object retrieval in paintings using discriminative regions
E. Crowley and A. Zisserman · 2014
Later among the works it cites.
Detecting people in cubist art
S. Ginosar, D. Haas, T. Brown, and J. Malik · 2014
Later among the works it cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Later among the works it 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
Later among the works it cites.
Learning graphs to model visual objects across different depictive styles
Q. Wu, H. Cai, and P. Hall · 2014
Later among the works it cites.