Fetching the paper…
Reading the bibliography…
Visual textures have played a key role in image understanding because they convey important semantics of images, and because texture representations that pool local image descriptors in an orderless manner have had a tremendous impact in diverse applications.
Dover, New York (1966)
Brodatz, P.: Textures: A Photographic Album for Artists & Designers · 1966
Earlier work this paper cites.
In: IJCAI, IJCAI. Morgan Kaufmann Publishers Inc. (1973)
Bajcsy, R.: Computer description of textured surfaces · 1973
Earlier work this paper cites.
Systems, Man and Cybernetics, IEEE Transactions on 8
Tamura, H., Mori, S., Yamawaki, T.: Textural features corresponding to visual perception · 1978
Earlier work this paper cites.
Nature 290(5802)
Julesz, B.: Textons, the elements of texture perception, and their interactions · 1981
Earlier work this paper cites.
Bell System Technical Journal 62(6, Pt 3)
Julesz, B., Bergen, J.R.: Textons, the fundamental elements in preattentive vision and perception of textures · 1983
Earlier work this paper cites.
Systems, Man, and Cybernetics 19
Amadasun, M., King, R.: Textural features corresponding to textural properties · 1989
Earlier work this paper cites.
IEEE Trans. Pattern Anal. Mach. Intell. 12
Bovik, A.C., Clark, M., Geisler, W.S.: Multichannel texture analysis using localized spatial filters · 1990
Earlier work this paper cites.
JOSA A 7
Malik, J., Perona, P.: Preattentive texture discrimination with early vision mechanisms · 1990
Earlier work this paper cites.
Pattern Recognition 23
Wang, L., He, D.C.: Texture classification using texture spectrum · 1990
Earlier work this paper cites.
Univ of California Press (1991)
Berlin, B., Kay, P.: Basic color terms: Their universality and evolution · 1991
Earlier work this paper cites.
IEEE Trans. Pattern Anal. Mach. Intell. 13
Freeman, W.T., Adelson, E.H.: The design and use of steerable filters · 1991
Earlier work this paper cites.
Pattern recognition 24
Jain, A., Farrokhnia, F.: Unsupervised texture segmentation using gabor filters · 1991
Earlier work this paper cites.
IEEE Transactions on Pattern Analysis and Machine Intelligence 13
Manjunath, B., Chellappa, R.: Unsupervised texture segmentation using markov random field models · 1991
Earlier work this paper cites.
Journal of Mathematical Imaging and Vision 2
Gårding, J.: Shape from texture for smooth curved surfaces in perspective projection · 1992
Earlier work this paper cites.
In: Proc. ECCV, LNCS 1064, pp. 546–555 (1996)
Leung, T., Malik, J.: Detecting, localizing and grouping repeated scene elements from an image · 1996
Earlier work this paper cites.
Pattern Recognition 29
Ojala, T., Pietikäinen, M., Harwood, D.: A comparative study of texture measures with classification based on feature distributions · 1996
Earlier work this paper cites.
Vision Research 36
Rao, A.R., Lohse, G.L.: Towards a texture naming system: Identifying relevant dimensions of texture · 1996
Earlier work this paper cites.
Cognitive Science 21
Bhushan, N., Rao, A., Lohse, G.: The texture lexicon: Understanding the categorization of visual texture terms and their relationship to texture images · 1997
Earlier work this paper cites.
International Journal of Computer Vision 23
Malik, J., Rosenholtz, R.: Computing local surface orientation and shape from texture for curved surfaces · 1997
Earlier work this paper cites.
ACM Transactions on Graphics 18
Dana, K.J., van Ginneken, B., Nayar, S.K., Koenderink, J.J.: Reflectance and texture of real world surfaces · 1999
Earlier work this paper cites.
In: CVPR, vol. 2 (1999)
Efros, A., Leung, T.: Texture synthesis by non-parametric sampling · 1999
Earlier work this paper cites.
In: Proc. ICCV (1999)
Lowe, D.G.: Object recognition from local scale-invariant features · 1999
Earlier work this paper cites.
In: A. Smola, P. Bartlett, B. Schölkopf, D. Schuurmans (eds.) Advances in Large Margin Classifiers. Cambridge (2000)
Platt, J.C.: Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods · 2000
Earlier work this paper cites.
International Journal of Computer Vision 40
Portilla, J., Simoncelli, E.: A parametric texture model based on joint statistics of complex wavelet coefficients · 2000
Earlier work this paper cites.
In: SIGGRAPH, pp. 479–488. ACM Press/Addison-Wesley Publishing Co. (2000)
Wei, L., Levoy, M.: Fast texture synthesis using tree-structured vector quantization · 2000
Earlier work this paper cites.
SPIE 4299
Adelson, E.H.: On seeing stuff: The perception of materials by humans and machines · 2001
Earlier work this paper cites.
In: ICCV, vol. 2, pp. 447–452. IEEE (2001)
Forsyth, D.: Shape from texture and integrability · 2001
Earlier work this paper cites.
International Journal of Computer Vision 43
Leung, T., Malik, J.: Representing and recognizing the visual appearance of materials using three-dimensional textons · 2001
Earlier work this paper cites.
IEEE Transactions on Image Processing 12
Geusebroek, J.M., Smeulders, A.W.M., van de Weijer, J.: Fast anisotropic gauss filtering · 2003
Earlier work this paper cites.
pp. 1470–1477 (2003)
Sivic, J., Zisserman, A.: Video Google: A text retrieval approach to object matching in videos · 2003
Earlier work this paper cites.
In: CVPR, vol. 2, pp. II–691. IEEE (2003)
Varma, M., Zisserman, A.: Texture classification: Are filter banks necessary? · 2003
Earlier work this paper cites.
In: Proc. ECCV Workshop on Stat. Learn. in Comp. Vision (2004)
Csurka, G., Dance, C.R., Dan, L., Willamowski, J., Bray, C.: Visual categorization with bags of keypoints · 2004
Earlier work this paper cites.
ECCV (2004)
Hayman, E., Caputo, B., Fritz, M., Eklundh, J.O.: On the significance of real-world conditions for material classification · 2004
Earlier work this paper cites.
In: ICCV (2005)
Caputo, B., Hayman, E., Mallikarjuna, P.: Class-specific material categorisation · 2005
Earlier work this paper cites.
Pattern Analysis and Machine Intelligence, IEEE Transactions on 28
Lazebnik, S., Schmid, C., Ponce, J.: A sparse texture representation using local affine regions · 2005
Cited alongside, same era.
Lazebnik, S., Schmid, C., Ponce, J.: Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories (2006)
2006
Cited alongside, same era.
Tech. rep., Pascal Challenge (2007)
Everingham, M., Zisserman, A., Williams, C., Gool, L.V.: The PASCAL visual obiect classes challenge 2007 (VOC2007) results · 2007
Cited alongside, same era.
In: Proc. NIPS (2007)
Ferrari, V., Zisserman, A.: Learning visual attributes · 2007
Cited alongside, same era.
In: CVPR (2007)
Perronnin, F., Dance, C.R.: Fisher kernels on visual vocabularies for image categorization · 2007
Cited alongside, same era.
http://www.pascal-network.org/challenges/VOC/voc2008/workshop/index.html (2008)
Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The PASCAL Visual Object Classes Challenge 2008 (VOC2008) Results · 2008
In: CVPR (2012)
Patterson, G., Hays, J.: Sun attribute database: Discovering, annotating, and recognizing scene attributes · 2012
Later among the works it cites.
In: Proc. ECCV (2012)
Sharma, G., ul Hussain, S., Jurie, F.: Local higher-order statistics (lhs) for texture categorization and facial analysis · 2012
Later among the works it cites.
In: BMVC (2012)
Timofte, R., Van Gool, L.: A training-free classification framework for textures, writers, and materials · 2012
Later among the works it cites.
In: Proc. SIGGRAPH (2013)
Bell, S., Upchurch, P., Snavely, N., Bala, K.: Opensurfaces: A richly annotated catalog of surface appearance · 2013
Later among the works it cites.
http://caffe.berkeleyvision.org/ (2013)
Jia, Y.: Caffe: An open source convolutional architecture for fast feature embedding · 2013
Later among the works it cites.
In: CVPR (2013)
Matthews, T., Nixon, M.S., Niranjan, M.: Enriching texture analysis with semantic data · 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…
Cited alongside, same era.
In: Proc. CVPR (2008)
Maji, S., Berg, A.C., Malik, J.: Classification using intersection kernel support vector machines is efficient · 2008
Cited alongside, same era.
Philbin, J., Chum, O., Isard, M., Sivic, J., Zisserman, A.: Lost in quantization: Improving particular object retrieval in large scale image databases (2008)
2008
Cited alongside, same era.
Pattern Recognition Letters 30
Burghouts, G.J., Geusebroek, J.M.: Material-specific adaptation of color invariant features · 2009
Cited alongside, same era.
In: CVPR (2009)
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: ImageNet: A Large-Scale Hierarchical Image Database · 2009
Cited alongside, same era.
In: CVPR, pp. 1778–1785. IEEE (2009)
Farhadi, A., Endres, I., Hoiem, D., Forsyth, D.: Describing objects by their attributes · 2009
Cited alongside, same era.
In: Proc. CVPR (2009)
Quattoni, A., Torralba, A.: Recognizing indoor scenes · 2009
Cited alongside, same era.
In: Proc. CVCP (2013)
Schwartz, G., Nishino, K.: Visual material traits: Recognizing per-pixel material context · 2013
Later among the works it cites.
International Journal of Computer Vision 103
Sharan, L., Liu, C., Rosenholtz, R., Adelson, E.H.: Recognizing materials using perceptually inspired features · 2013
Later among the works it cites.
In: CVPR (2013)
Sifre, L., Mallat, S.: Rotation, scaling and deformation invariant scattering for texture discrimination · 2013
Later among the works it cites.
CVPR (2014)
Arbeláez, P., Pont-Tuset, J., Barron, J.T., Marques, F., Malik, J.: Multiscale combinatorial grouping · 2014
Later among the works it cites.
In: Proc. ECCV, vol. 8689, pp. 505–519 (2014)
Badri, H., Yahia, H., Daoudi, K.: Fast and accurate texture recognition with multilayer convolution and multifractal analysis · 2014
Later among the works it cites.
arXiv preprint arXiv:1412.0623 (2014)
Bell, S., Upchurch, P., Snavely, N., Bala, K.: Material recognition in the wild with the materials in context database · 2014
Later among the works it cites.
In: Proc. BMVC (2014)
Chatfield, K., Simonyan, K., Vedaldi, A., Zisserman, A.: Return of the devil in the details: Delving deep into convolutional nets · 2014
Later among the works it cites.
Chen, L., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: Semantic image segmentation with deep convolutional nets and fully connected crfs · 2014
Later among the works it cites.
In: Proc. CVPR (2014)
Cimpoi, M., Maji, S., Kokkinos, I., Mohamed, S., , Vedaldi, A.: Describing textures in the wild · 2014
Later among the works it cites.
In: Proc. CVPR (2014)
Girshick, R.B., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation · 2014
Later among the works it cites.
In: Proc. ECCV (2014)
Gong, Y., Wang, L., Guo, R., Lazebnik, S.: Multi-scale orderless pooling of deep convolutional activation features · 2014
Later among the works it cites.
In: Computer Vision–ECCV 2014, pp. 297–312. Springer (2014)
Hariharan, B., Arbeláez, P., Girshick, R., Malik, J.: Simultaneous detection and segmentation · 2014
Later among the works it cites.
In: Proc. ECCV (2014)
He, K., Zhang, X., Ren, S., Sun, J.: Spatial pyramid pooling in deep convolutional networks for visual recognition · 2014
Later among the works it cites.
In: Proc. ECCV (2014)
Isola, P., Zoran, D., Krishnan, D., Adelson, E.H.: Crisp boundary detection using pointwise mutual information · 2014
Later among the works it cites.
In: Proc. CVPR (2014)
Oquab, M., Bottou, L., Laptev, I., Sivic, J.: Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks · 2014
Later among the works it cites.
In: Proc. CVPR (2014)
Parkhi, O.M., Simonyan, K., Vedaldi, A., Zisserman, A.: A compact and discriminative face track descriptor · 2014
Later among the works it cites.
In: DeepVision workshop (2014)
Razavin, A.S., Azizpour, H., Sullivan, J., Carlsson, S.: Cnn features off-the-shelf: An astounding baseline for recognition · 2014
Later among the works it cites.
Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition · 2014
Later among the works it cites.
Tech. rep. (2014)
Sulc, M., Matas, J.: Fast features invariant to rotation and scale of texture · 2014
Later among the works it cites.
arXiv preprint arXiv:1412.4564 (2014)
Vedaldi, A., Lenc, K.: Matconvnet-convolutional neural networks for matlab · 2014
Later among the works it cites.
Wei, Y., Xia, W., Huang, J., Ni, B., Dong, J., Zhao, Y., Yan, S.: Cnn: Single-label to multi-label (2014)
2014
Later among the works it cites.
In: Proc. ECCV (2014)
Zhang, N., Donahue, J., Girshickr, R., Darrell, T.: Part-based R-CNNs for fine-grained category detection · 2014
Later among the works it cites.
In: Proc. NIPS (2014)
Zhou, B., Lapedriza, A., Xiao, J., Torralba, A., Oliva, A.: Learning deep features for scene recognition using places database · 2014
Later among the works it cites.
In: Proc. CVPR (2015)
Bell, S., Upchurch, P., Snavely, N., Bala, K.: Material recognition in the wild with the materials in context database · 2015
Closest in time.
In: Proc. CVPR (2015)
Cimpoi, M., Maji, S., Vedaldi, A.: Deep filter banks for texture recognition and description · 2015
Closest in time.
In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3743–3752 (2015)
Perronnin, F., Larlus, D.: Fisher vectors meet neural networks: A hybrid classification architecture · 2015
Closest in time.
Zheng, S., Jayasumana, S., Romera-Paredes, B., Vineet, V., Su, Z., Du, D., Huang, C., Torr, P.H.S.: Conditional random fields as recurrent neural networks · 2015
Closest in time.