-
2
-
-
84899113050
-
Painting-to-3d model alignment via discriminative visual elements
-
M. Aubry, B.C. Russell, and J. Sivic Painting-to-3d model alignment via discriminative visual elements ACM Trans. Graph. 33 2 2014 14
-
(2014)
ACM Trans. Graph.
, vol.33
, Issue.2
, pp. 14
-
-
Aubry, M.1
Russell, B.C.2
Sivic, J.3
-
9
-
-
84887378604
-
Fast, accurate detection of 100,000 object classes on a single machine
-
T. Dean, M. Ruzon, M. Segal, J. Shlens, S. Vijayanarasimhan, and J. Yagnik Fast, accurate detection of 100,000 object classes on a single machine Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2013
-
(2013)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
-
-
Dean, T.1
Ruzon, M.2
Segal, M.3
Shlens, J.4
Vijayanarasimhan, S.5
Yagnik, J.6
-
11
-
-
85198028989
-
ImageNet: A Large-Scale Hierarchical Image Database
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei ImageNet: A Large-Scale Hierarchical Image Database Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2009
-
(2009)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
12
-
-
79953187637
-
Discriminative models for multi-class object layout
-
C. Desai, D. Ramanan, and C.C. Fowlkes Discriminative models for multi-class object layout Int. J. Comput. Vision 95 1 2011 1 12
-
(2011)
Int. J. Comput. Vision
, vol.95
, Issue.1
, pp. 1-12
-
-
Desai, C.1
Ramanan, D.2
Fowlkes, C.C.3
-
14
-
-
84872258949
-
What makes paris look like paris?
-
C. Doersch, A. Gupta, J. Sivic, and A.A. Efros What makes paris look like paris? ACM Trans. Graph. 31 4 2012 101
-
(2012)
ACM Trans. Graph.
, vol.31
, Issue.4
, pp. 101
-
-
Doersch, C.1
Gupta, A.2
Sivic, J.3
Efros, A.A.4
-
20
-
-
84858713365
-
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection
-
S. Fidler, M. Boben, and A. Leonardis Evaluating multi-class learning strategies in a generative hierarchical framework for object detection NIPS 2009
-
(2009)
NIPS
-
-
Fidler, S.1
Boben, M.2
Leonardis, A.3
-
26
-
-
72449124267
-
Structured prediction by joint kernel support estimation
-
C.H. Lampert, and M.B. Blaschko Structured prediction by joint kernel support estimation Mach. Learn. 2009
-
(2009)
Mach. Learn.
-
-
Lampert, C.H.1
Blaschko, M.B.2
-
40
-
-
82455188167
-
Data-driven visual similarity for cross-domain image matching
-
A. Shrivastava, T. Malisiewicz, A. Gupta, and A.A. Efros Data-driven visual similarity for cross-domain image matching ACM Trans. Graph. 30 6 2011 1 10
-
(2011)
ACM Trans. Graph.
, vol.30
, Issue.6
, pp. 1-10
-
-
Shrivastava, A.1
Malisiewicz, T.2
Gupta, A.3
Efros, A.A.4
-
42
-
-
84881109096
-
Sparselet models for efficient multiclass object detection
-
H.O. Song, S. Zickler, T. Althoff, R.B. Girshick, M. Fritz, C. Geyer, P.F. Felzenszwalb, and T. Darrell Sparselet models for efficient multiclass object detection Proceedings of the European Conference on Computer Vision 2012
-
(2012)
Proceedings of the European Conference on Computer Vision
-
-
Song, H.O.1
Zickler, S.2
Althoff, T.3
Girshick, R.B.4
Fritz, M.5
Geyer, C.6
Felzenszwalb, P.F.7
Darrell, T.8
-
46
-
-
84898876496
-
The more you know, the less you learn: from knowledge transfer to one-shot learning of object categories
-
T. Tommasi, and B. Caputo The more you know, the less you learn: from knowledge transfer to one-shot learning of object categories Proceedings of the British Machine Vision Conference 2009
-
(2009)
Proceedings of the British Machine Vision Conference
-
-
Tommasi, T.1
Caputo, B.2
-
54
-
-
84856672971
-
Human action recognition by learning bases of action attributes and parts
-
B. Yao, X. Jiang, A. Khosla, A.L. Lin, L.J. Guibas, and F.F. Li Human action recognition by learning bases of action attributes and parts Proceedings of the International Conference on Computer Vision 2011
-
(2011)
Proceedings of the International Conference on Computer Vision
-
-
Yao, B.1
Jiang, X.2
Khosla, A.3
Lin, A.L.4
Guibas, L.J.5
Li, F.F.6
|