-
1
-
-
84880793590
-
OpenSurfaces: A richly annotated catalog of surface appearance
-
S. Bell, P. Upchurch, N. Snavely, and K. Bala. OpenSurfaces: A richly annotated catalog of surface appearance. ACM Trans. on Graphics (SIGGRAPH), 32(4), 2013
-
(2013)
ACM Trans. on Graphics (SIGGRAPH)
, vol.32
, Issue.4
-
-
Bell, S.1
Upchurch, P.2
Snavely, N.3
Bala, K.4
-
2
-
-
33745899935
-
Class-specific material categorisation
-
B. Caputo, E. Hayman, and P. Mallikarjuna. Class-specific material categorisation. In ICCV, pages 1597-1604,2005
-
(2005)
ICCV
, pp. 1597-1604
-
-
Caputo, B.1
Hayman, E.2
Mallikarjuna, P.3
-
3
-
-
84911453074
-
Describing textures in the wild
-
IEEE
-
M. Cimpoi, S. Maji, I. Kokkinos, S. Mohamed, and A. Vedaldi. Describing textures in the wild. In CVPR, pages 3606-3613. IEEE, 2014
-
(2014)
CVPR
, pp. 3606-3613
-
-
Cimpoi, M.1
Maji, S.2
Kokkinos, I.3
Mohamed, S.4
Vedaldi, A.5
-
4
-
-
0039006081
-
Reflectance and texture of real-world surfaces
-
K. J. Dana, B. Van Ginneken, S. K. Nayar, and J. J. Koenderink. Reflectance and texture of real-world surfaces. ACM Transactions on Graphics (TOG), 18(1):1-34, 1999
-
(1999)
ACM Transactions on Graphics (TOG)
, vol.18
, Issue.1
, pp. 1-34
-
-
Dana, K.J.1
Van Ginneken, B.2
Nayar, S.K.3
Koenderink, J.J.4
-
5
-
-
77951298115
-
The pascal visual object classes (voc) challenge
-
June
-
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The Pascal Visual Object Classes (VOC) Challenge. fJCV, 88(2):303-338, June 2010
-
(2010)
FJCV
, vol.88
, Issue.2
, pp. 303-338
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.K.I.3
Winn, J.4
Zisserman, A.5
-
6
-
-
84876258641
-
Learning hierarchical features for scene labeling
-
C. Farabet, C. Couprie, L. Najman, and Y. LeCun. Learning hierarchical features for scene labeling. PAMI,35(8):1915-1929,2013
-
(2013)
PAMI
, vol.35
, Issue.8
, pp. 1915-1929
-
-
Farabet, C.1
Couprie, C.2
Najman, L.3
LeCun, Y.4
-
7
-
-
84911400494
-
Rich feature hierarchies for accurate object detection and semantic segmentation
-
R. Girshick, 1. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, 2014
-
(2014)
CVPR
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
8
-
-
77953205895
-
Decomposing a scene into geometric and semantically consistent regions
-
S. Gould, R. Fulton, and D. Koller. Decomposing a scene into geometric and semantically consistent regions. In ICCV, 2009
-
(2009)
ICCV
-
-
Gould, S.1
Fulton, R.2
Koller, D.3
-
9
-
-
33745873731
-
On the significance of real-world conditions for material classification
-
E. Hayman, B. Caputo, M. Fritz, and 1. olof Eklundh. On the significance of real-world conditions for material classification. In ECCV, 2004
-
(2004)
ECCV
-
-
Hayman, E.1
Caputo, B.2
Fritz, M.3
Olof Eklundh, J.4
-
10
-
-
84898485349
-
Toward robust material recognition for everyday objects
-
Citeseer
-
D. Hu, L. Bo, and X. Ren. Toward robust material recognition for everyday objects. In BMVC, pages 1-11. Citeseer, 2011
-
(2011)
BMVC
, pp. 1-11
-
-
Hu, D.1
Bo, L.2
Ren, X.3
-
11
-
-
84913580146
-
Caffe: Convolutional architecture for fast feature embedding
-
ACM
-
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, 1. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. In Proceedings of the ACM International Conference on Multimedia, pages 675-678. ACM, 2014
-
(2014)
Proceedings of the ACM International Conference on Multimedia
, pp. 675-678
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.6
Guadarrama, S.7
Darrell, T.8
-
12
-
-
84905661038
-
Parameter learning and convergent inference for dense random fields
-
P. KrahenbUhl and V. Koltun. Parameter learning and convergent inference for dense random fields. In ICML, pages 513-521,2013
-
(2013)
ICML
, pp. 513-521
-
-
Krahenbuhl, P.1
Koltun, V.2
-
14
-
-
0000359337
-
Backpropagation applied to handwritten zip code recognition
-
Y. LeCun, B. Boser, 1. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel. Backpropagation applied to handwritten zip code recognition. Neural computation, 1(4):541-551, 1989
-
(1989)
Neural Computation
, vol.1
, Issue.4
, pp. 541-551
-
-
LeCun, Y.1
Boser, B.2
Denker, J.S.3
Henderson, D.4
Howard, R.E.5
Hubbard, W.6
Jackel, L.D.7
-
15
-
-
0035358496
-
Representing and recognizing the visual appearance of materials using three-dimensional textons
-
June
-
T. Leung and J. Malik. Representing and recognizing the visual appearance of materials using three-dimensional textons. fJCV, 43(1):29-44, June 2001
-
(2001)
FJCV
, vol.43
, Issue.1
, pp. 29-44
-
-
Leung, T.1
Malik, J.2
-
16
-
-
84867849629
-
Recognizing materials from virtual examples
-
Springer
-
W. Li and M. Fritz. Recognizing materials from virtual examples. In ECCV, pages 345-358. Springer, 2012
-
(2012)
ECCV
, pp. 345-358
-
-
Li, W.1
Fritz, M.2
-
17
-
-
77955991923
-
Exploring features in a Bayesian framework for material recognition
-
IEEE
-
C. Liu, L. Sharan, E. H. Adelson, and R. Rosenholtz. Exploring features in a Bayesian framework for material recognition. In CVPR, pages 239-246. IEEE, 2010
-
(2010)
CVPR
, pp. 239-246
-
-
Liu, C.1
Sharan, L.2
Adelson, E.H.3
Rosenholtz, R.4
-
18
-
-
84911449395
-
Learning and transferring mid-level image representations using convolutional neural networks
-
M. Oquab, L. Bottou, I. Laptev, and J. Sivic. Learning and transferring mid-level image representations using convolutional neural networks. In CVPR, 2014
-
(2014)
CVPR
-
-
Oquab, M.1
Bottou, L.2
Laptev, I.3
Sivic, J.4
-
19
-
-
84900870389
-
The sun attribute database: Beyond categories for deeper scene understanding
-
G. Patterson, C. Xu, H. Su, and 1. Hays. The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding. fJCV, 108(1-2):59-81,2014
-
(2014)
FJCV
, vol.108
, Issue.1-2
, pp. 59-81
-
-
Patterson, G.1
Xu, C.2
Su, H.3
Hays, J.4
-
20
-
-
84867840628
-
Pairwise rotation invariant co-occurrence local binary pattern
-
Springer
-
X. Qi, R. Xiao, 1. Guo, and L. Zhang. Pairwise rotation invariant co-occurrence local binary pattern. In ECCV, pages 158-171. Springer, 2012
-
(2012)
ECCV
, pp. 158-171
-
-
Qi, X.1
Xiao, R.2
Guo, J.3
Zhang, L.4
-
21
-
-
84909978410
-
-
O. Russakovsky, 1. Deng, H. Su, 1. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei. ImageNet Large Scale Visual Recognition Challenge, 2014
-
(2014)
ImageNet Large Scale Visual Recognition Challenge
-
-
Russakovsky, O.1
Deng, J.2
Su, H.3
Krause, J.4
Satheesh, S.5
Ma, S.6
Huang, Z.7
Karpathy, A.8
Khosla, A.9
Bernstein, M.10
Berg, A.C.11
Fei-Fei, L.12
-
22
-
-
39749186006
-
LabelMe: A database and web-based tool for image annotation
-
May
-
B. C. Russell, A. Torralba, K. P. Murphy, and W. T. Freeman. LabelMe: A database and web-based tool for image annotation. fJCV, 77(1-3):157-173, May 2008
-
(2008)
FJCV
, vol.77
, Issue.1-3
, pp. 157-173
-
-
Russell, B.C.1
Torralba, A.2
Murphy, K.P.3
Freeman, W.T.4
-
24
-
-
85083951635
-
Overfeat: Integrated recognition, localization and detection using convolutional networks
-
April
-
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun. Overfeat: Integrated recognition, localization and detection using convolutional networks. In International Conference on Learning Representations (ICLR2014). CBLS, April 2014
-
(2014)
International Conference on Learning Representations (ICLR2014). CBLS
-
-
Sermanet, P.1
Eigen, D.2
Zhang, X.3
Mathieu, M.4
Fergus, R.5
LeCun, Y.6
-
25
-
-
84878726069
-
Recognizing materials using perceptually inspired features
-
L. Sharan, C. Liu, R. Rosenholtz, and E. Adelson. Recognizing materials using perceptually inspired features. fJCV, 2013
-
(2013)
FJCV
-
-
Sharan, L.1
Liu, C.2
Rosenholtz, R.3
Adelson, E.4
-
26
-
-
77956003992
-
Material perception: What can you see in a brief glance
-
L. Sharan, R. Rosenholtz, and E. Adelson. Material perception: What can you see in a brief glance? Journal of Vision, 9(8):784-784,2009
-
(2009)
Journal of Vision
, vol.9
, Issue.8
, pp. 784
-
-
Sharan, L.1
Rosenholtz, R.2
Adelson, E.3
-
28
-
-
84937522268
-
Going deeper with convolutions
-
c. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. Going deeper with convolutions. CVPR, 2015
-
(2015)
CVPR
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
Vanhoucke, V.8
Rabinovich, A.9
-
29
-
-
84898444340
-
A training-free classification framework for textures, writers, and materials
-
R. Timofte and L. 1. Van Gool. A training-free classification framework for textures, writers, and materials. In BMVC, pages 1-12,2012
-
(2012)
BMVC
, pp. 1-12
-
-
Timofte, R.1
Van Gool, L.J.2
-
30
-
-
8644258401
-
A statistical approach to texture classification from single images
-
Apr.
-
M. Varma and A. Zisserman. A statistical approach to texture classification from single images. fJCV, 62(1-2):61-81, Apr. 2005
-
(2005)
FJCV
, vol.62
, Issue.1-2
, pp. 61-81
-
-
Varma, M.1
Zisserman, A.2
-
31
-
-
84924067462
-
SUN Database: Exploring a large collection of scene categories
-
J. Xiao, K. A. Ehinger, J. Hays, A. Torralba, and A. Oliva. SUN Database: Exploring a large collection of scene categories. fJCV, 2014
-
(2014)
FJCV
-
-
Xiao, J.1
Ehinger, K.A.2
Hays, J.3
Torralba, A.4
Oliva, A.5
-
32
-
-
84906489074
-
Visualizing and understanding convolutional networks
-
Springer
-
M. D. Zeiler and R. Fergus. Visualizing and understanding convolutional networks. In ECCV, pages 818-833. Springer, 2014
-
(2014)
ECCV
, pp. 818-833
-
-
Zeiler, M.D.1
Fergus, R.2
-
33
-
-
84911414628
-
Dense semantic image segmentation with objects and attributes
-
IEEE
-
S. Zheng, M.-M. Cheng, J. Warrell, P. Sturgess, V. Vineet, C. Rother, and P. H. Torr. Dense semantic image segmentation with objects and attributes. In CVPR, pages 3214-3221. IEEE, 2014
-
(2014)
CVPR
, pp. 3214-3221
-
-
Zheng, S.1
Cheng, M.-M.2
Warrell, J.3
Sturgess, P.4
Vineet, V.5
Rother, C.6
Torr, P.H.7
-
34
-
-
84937964578
-
Learning deep features for scene recognition using P laces database
-
B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, and A. Oliva. Learning deep features for scene recognition using P laces database. NIPS, 2014.
-
(2014)
NIPS
-
-
Zhou, B.1
Lapedriza, A.2
Xiao, J.3
Torralba, A.4
Oliva, A.5
|