A performance evaluation of gradient field HOG descriptor for sketch based image retrieval, Computer Vision and Image Understanding, vol.117, issue.7, pp.790-806, 2013. ,
DOI : 10.1016/j.cviu.2013.02.005
Sketch based image retrieval using a soft computation of the histogram of edge local orientations (S-HELO), 2014 IEEE International Conference on Image Processing (ICIP), 2014. ,
DOI : 10.1109/ICIP.2014.7025606
An evaluation of descriptors for large-scale image retrieval from sketched feature lines, Computers & Graphics, vol.34, issue.5, pp.482-498, 2010. ,
DOI : 10.1016/j.cag.2010.07.002
Sketch based Image Retrieval using Learned KeyShapes (LKS), Procedings of the British Machine Vision Conference 2015, 2015. ,
DOI : 10.5244/C.29.164
URL : http://www.bmva.org/bmvc/2015/papers/paper164/abstract164.pdf
An improved histogram of edge local orientations for sketch-based image retrieval, " in Pattern Recognition, pp.432-441, 2010. ,
DOI : 10.1007/978-3-642-15986-2_44
URL : http://www.dcc.uchile.cl/%7Ebebustos/files/SB10c.pdf
Efficient sparse coding algorithms, NIPS, 2006. ,
Image super-resolution via sparse representation, pp.2861-2873, 2010. ,
Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis, CVPR, 2012. ,
Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition, 2013 IEEE International Conference on Computer Vision, 2013. ,
DOI : 10.1109/ICCV.2013.310
Cross-modal retrieval with correspondence autoencoder, ACM MM, 2014. ,
DOI : 10.1145/2647868.2654902
Adversarial Cross-Modal Retrieval, Proceedings of the 2017 ACM on Multimedia Conference , MM '17, pp.154-162, 2017. ,
DOI : 10.1109/TCSVT.2013.2276704
Learning crossmodal deep representations for robust pedestrian detection, CVPR, 2017. ,
DOI : 10.1109/cvpr.2017.451
URL : http://arxiv.org/pdf/1704.02431
Multi-scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. ,
DOI : 10.1109/CVPR.2017.25
URL : http://arxiv.org/pdf/1704.02157
Self-paced learning for latent variable models, NIPS, 2010. ,
Curriculum learning, Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, 2009. ,
DOI : 10.1145/1553374.1553380
Self-Paced Learning for Long-Term Tracking, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013. ,
DOI : 10.1109/CVPR.2013.308
Learning the easy things first: Self-paced visual category discovery, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995523
URL : http://www.cs.utexas.edu/~grauman/papers/lee_grauman_CVPR2011.pdf
Self-paced curriculum learning, AAAI, 2015. ,
Academic Coupled Dictionary Learning for Sketch-based Image Retrieval, Proceedings of the 2016 ACM on Multimedia Conference, MM '16, 2016. ,
DOI : 10.1007/s11042-013-1831-z
A sketch retrieval method for full color image database-query by visual example, [1992] Proceedings. 11th IAPR International Conference on Pattern Recognition, 1992. ,
DOI : 10.1109/ICPR.1992.201616
Sketch-Based Image Matching Using Angular Partitioning, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol.35, issue.1, pp.28-41, 2005. ,
DOI : 10.1109/TSMCA.2004.838464
URL : http://knight.cis.temple.edu/~lakaemper/courses/cis601_2008/etc/angularPartitioning.pdf
Visual image retrieval by elastic matching of user sketches, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.2, pp.121-132, 1997. ,
DOI : 10.1109/34.574790
Sketch-Based Image Retrieval: Benchmark and Bag-of-Features Descriptors, IEEE Transactions on Visualization and Computer Graphics, vol.17, issue.11, pp.1624-1636, 2011. ,
DOI : 10.1109/TVCG.2010.266
URL : http://cybertron.cg.tu-berlin.de/eitz/pdf/2010_tvcg_prelim.pdf
SYM-FISH: A Symmetry-Aware Flip Invariant Sketch Histogram Shape Descriptor, 2013 IEEE International Conference on Computer Vision, 2013. ,
DOI : 10.1109/ICCV.2013.46
URL : http://cs.tju.edu.cn/orgs/vision/%7Exguo/publication/FISH.pdf
Object recognition from local scale-invariant features, Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999. ,
DOI : 10.1109/ICCV.1999.790410
URL : http://www-inst.cs.berkeley.edu/~cs294-6/fa06/papers/LoweD_Object recognition from local scale-invariant features.pdf
Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005. ,
DOI : 10.1109/CVPR.2005.177
URL : https://hal.archives-ouvertes.fr/inria-00548512
Indexing billions of images for sketch-based retrieval, Proceedings of the 21st ACM international conference on Multimedia, MM '13, 2013. ,
DOI : 10.1145/2502081.2502281
3D Sub-query Expansion for Improving Sketch-Based Multi-view Image Retrieval, 2013 IEEE International Conference on Computer Vision, 2013. ,
DOI : 10.1109/ICCV.2013.434
URL : http://www.csie.ntu.edu.tw/~winston/papers/lin13subquery.pdf
Fine-grained sketchbased image retrieval by matching deformable part models, BMVC, 2014. ,
Sketch-based Image Retrieval via Shape Words, Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, ICMR '15, 2015. ,
DOI : 10.1145/1572741.1572747
Making better use of edges via perceptual grouping, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. ,
DOI : 10.1109/CVPR.2015.7298795
Sketch-a-Net that Beats Humans, Procedings of the British Machine Vision Conference 2015, 2015. ,
DOI : 10.5244/C.29.7
URL : http://arxiv.org/pdf/1501.07873
Sketch Me That Shoe, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ,
DOI : 10.1109/CVPR.2016.93
Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. ,
DOI : 10.1109/CVPR.2017.247
URL : http://arxiv.org/pdf/1703.05605
Learning Coupled Feature Spaces for Cross-Modal Matching, 2013 IEEE International Conference on Computer Vision, 2013. ,
DOI : 10.1109/ICCV.2013.261
Instancelevel coupled subspace learning for fine-grained sketch-based image retrieval, ECCV, 2016. ,
DOI : 10.1007/978-3-319-46604-0_2
Self-paced learning for matrix factorization, AAAI, 2015. ,
Multi-view self-paced learning for clustering, IJCAI, 2015. ,
Curriculum learning of multiple tasks, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. ,
DOI : 10.1109/CVPR.2015.7299188
URL : http://arxiv.org/pdf/1412.1353
Self-paced dictionary learning for image classification, Proceedings of the 20th ACM international conference on Multimedia, MM '12, 2012. ,
DOI : 10.1145/2393347.2396324
Easy Samples First, Proceedings of the ACM International Conference on Multimedia, MM '14, 2014. ,
DOI : 10.1007/s10791-009-9112-1
Selfpaced learning with diversity, NIPS, 2014. ,
Non-local sparse models for image restoration, 2009 IEEE 12th International Conference on Computer Vision, 2009. ,
DOI : 10.1109/ICCV.2009.5459452
Complex event detection via event oriented dictionary learning, AAAI, 2015. ,
DOI : 10.1109/tip.2015.2413294
URL : https://iris.unitn.it/bitstream/11572/112632/2/Yan-TIPJune15.pdf
Sketch-based 3D shape retrieval using Convolutional Neural Networks, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. ,
DOI : 10.1109/CVPR.2015.7298797
Building effective representations for sketch recognition, AAAI, 2015. ,
Face Photo-Sketch Synthesis and Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.11, pp.1955-1967, 2009. ,
DOI : 10.1109/TPAMI.2008.222
Heterogeneous metric learning with joint graph regularization for cross-media retrieval, AAAI, 2013. ,
Measuring the Objectness of Image Windows, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.11, pp.2189-2202, 2012. ,
DOI : 10.1109/TPAMI.2012.28
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems, SIAM Journal on Imaging Sciences, vol.2, issue.1, pp.183-202, 2009. ,
DOI : 10.1137/080716542
URL : http://ie.technion.ac.il/%7Ebecka/papers/finalicassp2009.pdf
Loqo: An interior point code for quadratic programming Optimization methods and software, pp.451-484, 1999. ,
DOI : 10.1080/10556789908805759
URL : http://www.princeton.edu/~rvdb/ps/loqo5.pdf
How do humans sketch objects?, ACM Transactions on Graphics, vol.31, issue.4, pp.44-45, 2012. ,
DOI : 10.1145/2185520.2185540
URL : http://dl.acm.org/ft_gateway.cfm?id=2185540&type=pdf
Face Sketch Recognition, IEEE Transactions on Circuits and Systems for Video Technology, vol.14, issue.1, pp.50-57, 2004. ,
DOI : 10.1109/TCSVT.2003.818353
Bypassing synthesis: PLS for face recognition with pose, low-resolution and sketch, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995350
URL : http://www.cvpapers.com/papers/PLS_Face_Rec.pdf
Separating Style and Content with Bilinear Models, Neural Computation, vol.13, issue.6, pp.1247-1283, 2000. ,
DOI : 10.1016/0167-6393(88)90018-0
URL : http://www.merl.com/reports/docs/TR99-04.pdf
How do humans sketch objects?, ACM Transactions on Graphics, vol.31, issue.4, p.44, 2012. ,
DOI : 10.1145/2185520.2185540
URL : http://dl.acm.org/ft_gateway.cfm?id=2185540&type=pdf
The Pascal Visual Object Classes (VOC) Challenge, International Journal of Computer Vision, vol.73, issue.2, pp.303-338, 2010. ,
DOI : 10.1371/journal.pcbi.0040027
URL : http://eprints.pascal-network.org/archive/00006961/01/everingham10.pdf
SketchNet: Sketch Classification with Web Images, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ,
DOI : 10.1109/CVPR.2016.125
Sketch-based image retrieval via Siamese convolutional neural network, 2016 IEEE International Conference on Image Processing (ICIP), 2016. ,
DOI : 10.1109/ICIP.2016.7532801
The sketchy database, ACM Transactions on Graphics, vol.35, issue.4, p.119, 2016. ,
DOI : 10.1007/978-3-319-10590-1_53
URL : http://dl.acm.org/ft_gateway.cfm?id=2925954&type=pdf
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006. ,
DOI : 10.1109/CVPR.2006.68
URL : https://hal.archives-ouvertes.fr/inria-00548585
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection, Procedings of the British Machine Vision Conference 2015, 2015. ,
DOI : 10.5244/C.29.8
URL : http://www.bmva.org/bmvc/2015/papers/paper008/abstract008.pdf
Learning deep structured multi-scale features using attention-gated crfs for contour prediction, NIPS, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01646112