-
1
-
-
85073336413
-
On detection of multiple object instances using hough transforms
-
O. Barinova, V. Lempitsky, and P. Kohli. On detection of multiple object instances using hough transforms. IEEE TPAMI, 2012.
-
(2012)
IEEE TPAMI
-
-
Barinova, O.1
Lempitsky, V.2
Kohli, P.3
-
2
-
-
84919795150
-
Active detection via adaptive submodularity
-
Y. Chen, H. Shioi, C. Fuentes-Montesinos, L. Koh, S. Wich, and A. Krause. Active detection via adaptive submodularity. In ICML, 2014.
-
(2014)
ICML
-
-
Chen, Y.1
Shioi, H.2
Fuentes-Montesinos, C.3
Koh, L.4
Wich, S.5
Krause, A.6
-
3
-
-
79959728283
-
Localizing objects while learning their appearance
-
T. Deselaers, B. Alexe, and V. Ferrari. Localizing objects while learning their appearance. In ECCV, 2010.
-
(2010)
ECCV
-
-
Deselaers, T.1
Alexe, B.2
Ferrari, V.3
-
4
-
-
84867062047
-
Weakly supervised localization and learning with generic knowledge
-
T. Deselaers, B. Alexe, and V. Ferrari. Weakly supervised localization and learning with generic knowledge. IJCV, 2012.
-
(2012)
IJCV
-
-
Deselaers, T.1
Alexe, B.2
Ferrari, V.3
-
5
-
-
84872258949
-
What makes paris look like paris?
-
C. Doersch, S. Singh, A. Gupta, J. Sivic, and A. A. Efros. What Makes Paris Look like Paris? In SIGGRAPH, 2012.
-
(2012)
SIGGRAPH
-
-
Doersch, C.1
Singh, S.2
Gupta, A.3
Sivic, J.4
Efros, A.A.5
-
6
-
-
84904482223
-
-
arXiv e-prints
-
J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. arXiv e-prints, 2013.
-
(2013)
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
-
-
Donahue, J.1
Jia, Y.2
Vinyals, O.3
Hoffman, J.4
Zhang, N.5
Tzeng, E.6
Darrell, T.7
-
7
-
-
84887388528
-
Clustering by composition unsupervised discovery of image categories
-
A. Faktor and M. Irani. Clustering by Composition Unsupervised Discovery of Image Categories. In ECCV, 2012.
-
(2012)
ECCV
-
-
Faktor, A.1
Irani, M.2
-
8
-
-
80052889458
-
Recognition using visual phrases
-
A. Farhadi and A. Sadeghi. Recognition Using Visual Phrases. In CVPR, 2011.
-
(2011)
CVPR
-
-
Farhadi, A.1
Sadeghi, A.2
-
9
-
-
51949101231
-
A discriminatively trained, multiscale, deformable part model
-
P. Felzenszwalb, D. McAllester, and D. Ramanan. A Discriminatively Trained, Multiscale, Deformable Part Model. In CVPR, 2008.
-
(2008)
CVPR
-
-
Felzenszwalb, P.1
McAllester, D.2
Ramanan, D.3
-
10
-
-
77955422240
-
Object detection with discriminatively trained part based models
-
P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object Detection with Discriminatively Trained Part Based Models. TPAMI, 32(9), 2010.
-
(2010)
TPAMI
, vol.32
, Issue.9
-
-
Felzenszwalb, P.1
Girshick, R.2
McAllester, D.3
Ramanan, D.4
-
11
-
-
0041940256
-
Object class recognition by unsupervised scale-invariant learning
-
R. Fergus, P. Perona, and A. Zisserman. Object Class Recognition by Unsupervised Scale-Invariant Learning. In CVPR, 2003.
-
(2003)
CVPR
-
-
Fergus, R.1
Perona, P.2
Zisserman, A.3
-
12
-
-
0012523178
-
An analysis of approximations for maximizing submodular set functions - II
-
M. Fisher, G. Nemhauser, and L. Wolsey. An analysis of approximations for maximizing submodular set functions - II. Math. Prog. Study, 8: 73-87, 1978.
-
(1978)
Math. Prog. Study
, vol.8
, pp. 73-87
-
-
Fisher, M.1
Nemhauser, G.2
Wolsey, L.3
-
14
-
-
33845575890
-
Unsupervised learning of categories from sets of partially matching image features
-
K. Grauman and T. Darrell. Unsupervised learning of categories from sets of partially matching image features. In CVPR, 2006.
-
(2006)
CVPR
-
-
Grauman, K.1
Darrell, T.2
-
17
-
-
84876231242
-
ImageNet classification with deep convolutional neural networks
-
A. Krizhevsky and I. S. G. Hinton. ImageNet Classification with Deep Convolutional Neural Networks. In NIPS, 2012.
-
(2012)
NIPS
-
-
Krizhevsky, A.1
Hinton, I.S.G.2
-
18
-
-
68849114784
-
Foreground focus: Unsupervised learning from partially matching images
-
Y. J. Lee and K. Grauman. Foreground Focus: Unsupervised Learning From Partially Matching Images. IJCV, 85, 2009.
-
(2009)
IJCV
, vol.85
-
-
Lee, Y.J.1
Grauman, K.2
-
19
-
-
84866635691
-
Automatic discovery of groups of objects for scene understanding
-
C. Li, D. Parikh, and T. Chen. Automatic Discovery of Groups of Objects for Scene Understanding. In CVPR, 2012.
-
(2012)
CVPR
-
-
Li, C.1
Parikh, D.2
Chen, T.3
-
20
-
-
0000095809
-
An analysis of approximations for maximizing submodular set functions - I
-
G. Nemhauser, L. Wolsey, and M. Fisher. An analysis of approximations for maximizing submodular set functions - I. Mathematical Programming, 14(1): 265-294, 1978.
-
(1978)
Mathematical Programming
, vol.14
, Issue.1
, pp. 265-294
-
-
Nemhauser, G.1
Wolsey, L.2
Fisher, M.3
-
21
-
-
84856650974
-
Scene recognition and weakly supervised object localization with deformable part-based models
-
M. Pandey and S. Lazebnik. Scene recognition and weakly supervised object localization with deformable part-based models. In ICCV, 2011.
-
(2011)
ICCV
-
-
Pandey, M.1
Lazebnik, S.2
-
22
-
-
51949087935
-
From appearance to context-based recognition: Dense labeling in small images
-
D. Parikh, C. L. Zitnick, and T. Chen. From Appearance to Context-Based Recognition: Dense Labeling in Small Images. In CVPR, 2008.
-
(2008)
CVPR
-
-
Parikh, D.1
Zitnick, C.L.2
Chen, T.3
-
23
-
-
50649122703
-
Efficient mining of frequent and distinctive feature configurations
-
T. Quack, V. Ferrari, B. Leibe, and L. V. Gool. Efficient Mining of Frequent and Distinctive Feature Configurations. In ICCV, 2007.
-
(2007)
ICCV
-
-
Quack, T.1
Ferrari, V.2
Leibe, B.3
Gool, L.V.4
-
24
-
-
84884958786
-
Unsupervised discovery of mid-level discriminative patches
-
S. Singh, A. Gupta, and A. A. Efros. Unsupervised Discovery of Mid-level Discriminative Patches. In ECCV, 2012.
-
(2012)
ECCV
-
-
Singh, S.1
Gupta, A.2
Efros, A.A.3
-
25
-
-
84856651319
-
Weakly supervised object detector learning with model drift detection
-
P. Siva and T. Xiang. Weakly supervised object detector learning with model drift detection. In ICCV, 2011.
-
(2011)
ICCV
-
-
Siva, P.1
Xiang, T.2
-
26
-
-
84888335371
-
In defence of negative mining for annotating weakly labelled data
-
P. Siva, C. Russell, and T. Xiang. In defence of negative mining for annotating weakly labelled data. In ECCV, 2012.
-
(2012)
ECCV
-
-
Siva, P.1
Russell, C.2
Xiang, T.3
-
27
-
-
5044234908
-
Video data mining using configurations of viewpoint invariant regions
-
J. Sivic and A. Zisserman. Video Data Mining Using Configurations of Viewpoint Invariant Regions. In CVPR, 2004.
-
(2004)
CVPR
-
-
Sivic, J.1
Zisserman, A.2
-
28
-
-
33845565390
-
Discovering object categories in image collections
-
J. Sivic, B. Russell, A. Efros, A. Zisserman, and W. Freeman. Discovering object categories in image collections. In ICCV, 2005.
-
(2005)
ICCV
-
-
Sivic, J.1
Russell, B.2
Efros, A.3
Zisserman, A.4
Freeman, W.5
-
29
-
-
84919792468
-
On learning to localize objects with minimal supervision
-
H. O. Song, R. Girshick, S. Jegelka, J. Mairal, Z. Harchaoui, and T. Darrell. On learning to localize objects with minimal supervision. In ICML, 2014.
-
(2014)
ICML
-
-
Song, H.O.1
Girshick, R.2
Jegelka, S.3
Mairal, J.4
Harchaoui, Z.5
Darrell, T.6
-
31
-
-
0002935868
-
On an estimate of the chromatic class of a p-graph
-
V. Vizing. On an estimate of the chromatic class of a p-graph. Diskret. Analiz., 3: 25-30, 1964.
-
(1964)
Diskret. Analiz.
, vol.3
, pp. 25-30
-
-
Vizing, V.1
-
32
-
-
0002409979
-
Unsupervised learning of models for recognition
-
M. Weber, M. Welling, and P. Perona. Unsupervised Learning of Models for Recognition. In ECCV, 2000.
-
(2000)
ECCV
-
-
Weber, M.1
Welling, M.2
Perona, P.3
-
33
-
-
70450188050
-
Efficient kernels for identifying unbounded-order spatial features
-
Y. Zhang and T. Chen. Efficient Kernels for Identifying Unbounded-order Spatial Features. In CVPR, 2009.
-
(2009)
CVPR
-
-
Zhang, Y.1
Chen, T.2
-
34
-
-
84899009717
-
Contrastive learning using spectral methods
-
J. Zou, D. Hsu, D. Parkes, and R. Adams. Contrastive learning using spectral methods. In NIPS, 2013.
-
(2013)
NIPS
-
-
Zou, J.1
Hsu, D.2
Parkes, D.3
Adams, R.4
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