-
1
-
-
84887340679
-
Efficient object detection and segmentation for fine-grained recognition
-
A. Angelova and S. Zhu. Efficient object detection and segmentation for fine-grained recognition. In CVPR, 2013.
-
(2013)
CVPR
-
-
Angelova, A.1
Zhu, S.2
-
2
-
-
84887356895
-
POOF: Part-based one-vs.-one features for fine-grained categorization, face verification, and attribute estimation
-
T. Berg and P. N. Belhumeur. POOF: Part-based one-vs.-one features for fine-grained categorization, face verification, and attribute estimation. In CVPR, 2013.
-
(2013)
CVPR
-
-
Berg, T.1
Belhumeur, P.N.2
-
3
-
-
85162073058
-
Simultaneous object detection and ranking with weak supervision
-
M. B. Blaschko, A. Vedaldi, and A. Zisserman. Simultaneous object detection and ranking with weak supervision. In NIPS, 2010.
-
(2011)
NIPS
-
-
Blaschko, M.B.1
Vedaldi, A.2
Zisserman, A.3
-
4
-
-
0042004575
-
Class-specific, top-down segmentation
-
E. Borenstein and S. Ullman. Class-specific, top-down segmentation. In ECCV, 2002.
-
(2002)
ECCV
-
-
Borenstein, E.1
Ullman, S.2
-
5
-
-
84856647890
-
Describing people: A poseletbased approach to attribute classification
-
L. D. Bourdev, S. Maji, and J. Malik. Describing people: A poseletbased approach to attribute classification. In ICCV, 2011.
-
(2011)
ICCV
-
-
Bourdev, L.D.1
Maji, S.2
Malik, J.3
-
6
-
-
85112851150
-
Poselets: Body part detectors trained using 3d human pose annotations
-
L. D. Bourdev and J. Malik. Poselets: Body part detectors trained using 3d human pose annotations. In ICCV, 2009.
-
(2009)
ICCV
-
-
Bourdev, L.D.1
Malik, J.2
-
7
-
-
4344598245
-
An experimental comparison of mincut/max-flow algorithms for energy minimization in vision
-
Y. Boykov and V. Kolmogorov. An experimental comparison of mincut/max-flow algorithms for energy minimization in vision. PAMI, 2004.
-
(2004)
PAMI
-
-
Boykov, Y.1
Kolmogorov, V.2
-
8
-
-
79960230920
-
Visual recognition with humans in the loop
-
S. Branson, C.Wah, F. Schroff, B. Babenko, P.Welinder, P. Perona, and S. Belongie. Visual recognition with humans in the loop. In ECCV, 2010.
-
(2011)
ECCV
-
-
Branson, S.1
Wah, C.2
Schroff, F.3
Babenko, B.4
Welinder, P.5
Perona, P.6
Belongie, S.7
-
9
-
-
80052887473
-
Object segmentation by alignment of poselet activations to image contours
-
T. Brox, L. D. Bourdev, S. Maji, and J. Malik. Object segmentation by alignment of poselet activations to image contours. In CVPR, 2011.
-
(2011)
CVPR
-
-
Brox, T.1
Bourdev, L.D.2
Maji, S.3
Malik, J.4
-
10
-
-
84887341181
-
Tricos: A tri-level class-discriminative co-segmentation method for image classification
-
Y. Chai, E. Rahtu, V. Lempitsky, L. V. Gool, and A. Zisserman. Tricos: A tri-level class-discriminative co-segmentation method for image classification. In ECCV, 2012.
-
(2012)
ECCV
-
-
Chai, Y.1
Rahtu, E.2
Lempitsky, V.3
Gool, L.V.4
Zisserman, A.5
-
11
-
-
84898420173
-
The devil is in the details: An evaluation of recent feature encoding methods
-
K. Chatfield, V. Lempitsky, A. Vedaldi, and A. Zisserman. The devil is in the details: an evaluation of recent feature encoding methods. In BMVC, 2011.
-
(2011)
BMVC
-
-
Chatfield, K.1
Lempitsky, V.2
Vedaldi, A.3
Zisserman, A.4
-
12
-
-
34948855941
-
An exemplar model for learning object classes
-
O. Chum and A. Zisserman. An exemplar model for learning object classes. In CVPR, 2007.
-
(2007)
CVPR
-
-
Chum, O.1
Zisserman, A.2
-
13
-
-
70450161428
-
An empirical study of context in object detection
-
S. K. Divvala, D. Hoiem, J. Hays, A. A. Efros, and M. Hebert. An empirical study of context in object detection. In CVPR, 2009.
-
(2009)
CVPR
-
-
Divvala, S.K.1
Hoiem, D.2
Hays, J.3
Efros, A.A.4
Hebert, M.5
-
15
-
-
84866702548
-
Novel dataset for fine-grained image categorization
-
A. Khosla, N. Jayadevaprakash, B. Yao, and L. Fei-Fei. Novel dataset for fine-grained image categorization. In First Workshop on Fine-Grained Visual Categorization, CVPR, 2011.
-
(2011)
First Workshop on Fine-Grained Visual Categorization, CVPR
-
-
Khosla, A.1
Jayadevaprakash, N.2
Yao, B.3
Fei-Fei, L.4
-
16
-
-
67650394405
-
Synergy between object recognition and image segmentation using the expectation-maximization algorithm
-
I. Kokkinos and P. Maragos. Synergy between object recognition and image segmentation using the expectation-maximization algorithm. PAMI, 2009.
-
(2009)
PAMI
-
-
Kokkinos, I.1
Maragos, P.2
-
18
-
-
24644437018
-
Interleaved object categorization and segmentation
-
B. Leibe and B. Schiele. Interleaved object categorization and segmentation. In BMVC, 2003.
-
(2003)
BMVC
-
-
Leibe, B.1
Schiele, B.2
-
19
-
-
34548799026
-
Learning to combine bottom-up and top-down segmentation
-
A. Levin and Y. Weiss. Learning to combine bottom-up and top-down segmentation. In ECCV, 2006.
-
(2006)
ECCV
-
-
Levin, A.1
Weiss, Y.2
-
20
-
-
84856631928
-
Object detection and segmentation from joint embedding of parts and pixels
-
M. Maire, S. X. Yu, and P. Perona. Object detection and segmentation from joint embedding of parts and pixels. In ICCV, 2011.
-
(2011)
ICCV
-
-
Maire, M.1
Yu, S.X.2
Perona, P.3
-
21
-
-
77953182042
-
Weakly supervised discriminative localization and classification: A joint learning process
-
M. H. Nguyen, L. Torresani, F. de la Torre, and C. Rother. Weakly supervised discriminative localization and classification: a joint learning process. In ICCV, 2009.
-
(2009)
ICCV
-
-
Nguyen, M.H.1
Torresani, L.2
De La Torre, F.3
Rother, C.4
-
22
-
-
65249121810
-
Automated flower classification over a large number of classes
-
M. E. Nilsback and A. Zisserman. Automated flower classification over a large number of classes. In ICVGIP, 2008.
-
(2008)
ICVGIP
-
-
Nilsback, M.E.1
Zisserman, A.2
-
23
-
-
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
-
25
-
-
79959771606
-
Improving the fisher kernel for large-scale image classification
-
F. Perronnin, J. Śanchez, and T. Mensink. Improving the fisher kernel for large-scale image classification. In ECCV, 2010.
-
(2011)
ECCV
-
-
Perronnin, F.1
Śanchez, J.2
Mensink, T.3
-
26
-
-
34948910140
-
Using segmentation to verify object hypotheses
-
D. Ramanan. Using segmentation to verify object hypotheses. In CVPR, 2007.
-
(2007)
CVPR
-
-
Ramanan, D.1
-
27
-
-
12844262766
-
Grabcut": Interactive foreground extraction using iterated graph cuts
-
C. Rother, V. Kolmogorov, and A. Blake. "grabcut": interactive foreground extraction using iterated graph cuts. ACM Trans. Graph., 23(3), 2004.
-
(2004)
ACM Trans. Graph.
, vol.23
, pp. 3
-
-
Rother, C.1
Kolmogorov, V.2
Blake, A.3
-
28
-
-
84884958786
-
Unsupervised discovery of midlevel discriminative patches
-
S. Singh, A. Gupta, and A. A. Efros. Unsupervised discovery of midlevel discriminative patches. In ECCV, 2012.
-
(2012)
ECCV
-
-
Singh, S.1
Gupta, A.2
Efros, A.A.3
-
29
-
-
77955996870
-
Localityconstrained linear coding for image classification
-
J. Wang, J. Yang, K. Yu, F. Lv, T. S. Huang, and Y. Gong. Localityconstrained linear coding for image classification. In CVPR, 2010.
-
(2011)
CVPR
-
-
Wang, J.1
Yang, J.2
Yu, K.3
Lv, F.4
Huang, T.S.5
Gong, Y.6
-
30
-
-
80052891795
-
-
California Institute of Technology
-
P. Welinder, S. Branson, T. Mita, C. Wah, F. Schroff, S. Belongie, and P. Perona. Caltech-UCSD Birds 200. Technical Report CNS-TR-2010-001, California Institute of Technology, 2010.
-
(2011)
Caltech-UCSD Birds 200 Technical Report CNS-TR-2010-001
-
-
Welinder, P.1
Branson, S.2
Mita, T.3
Wah, C.4
Schroff, F.5
Belongie, S.6
Perona, P.7
-
31
-
-
33745948591
-
Locus: Learning object classes with unsupervised segmentation
-
J. M. Winn and N. Jojic. Locus: Learning object classes with unsupervised segmentation. In ICCV, 2005.
-
(2005)
ICCV
-
-
Winn, J.M.1
Jojic, N.2
-
32
-
-
84877743496
-
Unsupervised template learning for fine-grained object recognition
-
S. Yang, L. Bo, J. Wang, and L. G. Shapiro. Unsupervised template learning for fine-grained object recognition. In NIPS, 2012.
-
(2012)
NIPS
-
-
Yang, S.1
Bo, L.2
Wang, J.3
Shapiro, L.G.4
-
33
-
-
84866665892
-
A codebook-free and annotationfree approach for fine-grained image categorization
-
B. Yao, G. Bradski, and L. Fei-Fei. A codebook-free and annotationfree approach for fine-grained image categorization. In CVPR, 2012.
-
(2012)
CVPR
-
-
Yao, B.1
Bradski, G.2
Fei-Fei, L.3
-
34
-
-
80052872695
-
Combining randomization and discrimination for fine-grained image categorization
-
B. Yao, A. Khosla, and F.-F. Li. Combining randomization and discrimination for fine-grained image categorization. In CVPR, 2011.
-
(2011)
CVPR
-
-
Yao, B.1
Khosla, A.2
Li, F.-F.3
-
35
-
-
84866662426
-
Pose pooling kernels for subcategory recognition
-
N. Zhang, R. Farrell, and T. Darrell. Pose pooling kernels for subcategory recognition. In CVPR, 2012.
-
(2012)
CVPR
-
-
Zhang, N.1
Farrell, R.2
Darrell, T.3
|