-
1
-
-
80052912891
-
ClassCut for unsupervised class segmentation
-
Alexe, B., Deselaers, T., & Ferrari, V. (2010a). ClassCut for unsupervised class segmentation. In ECCV.
-
(2010)
ECCV
-
-
Alexe, B.1
Deselaers, T.2
Ferrari, V.3
-
4
-
-
85141266799
-
Support vector machines for multiple-instance learning
-
Andrews, S., Tsochantaridis, I., & Hofmann, T. (2002). Support vector machines for multiple-instance learning. In NIPS.
-
(2002)
NIPS
-
-
Andrews, S.1
Tsochantaridis, I.2
Hofmann, T.3
-
5
-
-
34948875827
-
Unsupervised segmentation of objects using efficient learning
-
Arora, H., Loeff, N., Forsyth, D., & Ahuja, N. (2007). Unsupervised segmentation of objects using efficient learning. In CVPR.
-
(2007)
CVPR
-
-
Arora, H.1
Loeff, N.2
Forsyth, D.3
Ahuja, N.4
-
6
-
-
77953185204
-
Similarity metrics for categorization: From monolithic to category specific
-
Babenko, B., Branson, S., & Belongie, S. (2009). Similarity metrics for categorization: From monolithic to category specific. In ICCV.
-
(2009)
ICCV
-
-
Babenko, B.1
Branson, S.2
Belongie, S.3
-
7
-
-
77955992057
-
Detecting and sketching the common
-
Bagon, S., Brostovski, O., Galun, M., & Irani, M. (2010). Detecting and sketching the common. In CVPR.
-
(2010)
CVPR
-
-
Bagon, S.1
Brostovski, O.2
Galun, M.3
Irani, M.4
-
8
-
-
72449205548
-
SURF: Speeded up robust features
-
Bay, H., Ess, A., Tuytelaars, T., & van Gool, L. (2008). SURF: speeded up robust features. In CVIU.
-
(2008)
CVIU
-
-
Bay, H.1
Ess, A.2
Tuytelaars, T.3
Van Gool, L.4
-
9
-
-
85161984064
-
Simultaneous object detection and ranking with weak supervision
-
Blaschko, B., Vedaldi, A., & Zisserman, A. (2010). Simultaneous object detection and ranking with weak supervision. In NIPS.
-
(2010)
NIPS
-
-
Blaschko, B.1
Vedaldi, A.2
Zisserman, A.3
-
11
-
-
50649087214
-
Spatially coherent latent topic model for concurrent segmentation and classification of objects and scene
-
Cao, L., & Li, F. F. (2007). Spatially coherent latent topic model for concurrent segmentation and classification of objects and scene. In ICCV.
-
(2007)
ICCV
-
-
Cao, L.1
Li, F.F.2
-
12
-
-
77956008665
-
Constrained parametric min cuts for automatic object segmentation
-
Carreira, J., Li, F., & Sminchisescu, C. (2010). Constrained parametric min cuts for automatic object segmentation. In CVPR.
-
(2010)
CVPR
-
-
Carreira, J.1
Li, F.2
Sminchisescu, C.3
-
13
-
-
33947180489
-
MILES: Multiple-instance learning via embedded instance selection
-
Chen, Y., Bi, J., & Wang, J. Z. (2006).MILES: multiple-instance learning via embedded instance selection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(12), 1931-1947. (Pubitemid 46405705)
-
(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, Issue.12
, pp. 1931-1947
-
-
Chen, Y.1
Bi, J.2
Wang, J.Z.3
-
14
-
-
34948855941
-
An exemplar model for learning object classes
-
Chum, O., & Zisserman, A. (2007). An exemplar model for learning object classes. In CVPR.
-
(2007)
CVPR
-
-
Chum, O.1
Zisserman, A.2
-
15
-
-
34948861144
-
Weakly supervised learning of part-based spatial models for visual object recognition
-
Crandall, D. J., & Huttenlocher, D. (2006). Weakly supervised learning of part-based spatial models for visual object recognition. In ECCV.
-
(2006)
ECCV
-
-
Crandall, D.J.1
Huttenlocher, D.2
-
16
-
-
33645146449
-
Histogram of Oriented Gradients for human detection
-
Dalal, N., & Triggs, B. (2005). Histogram of Oriented Gradients for human detection. In CVPR.
-
(2005)
CVPR
-
-
Dalal, N.1
Triggs, B.2
-
17
-
-
77956555219
-
A conditional random field for multiple-instance learning
-
Deselaers, T., & Ferrari, V. (2010). A conditional random field for multiple-instance learning. In ICML.
-
(2010)
ICML
-
-
Deselaers, T.1
Ferrari, V.2
-
18
-
-
79959728283
-
Localizing objects while learning their appearance
-
Deselaers, T., Alexe, B., & Ferrari, V. (2010). Localizing objects while learning their appearance. In ECCV.
-
(2010)
ECCV
-
-
Deselaers, T.1
Alexe, B.2
Ferrari, V.3
-
20
-
-
79851509694
-
Category independent object proposals
-
Endres, I., & Hoiem, D. (2010). Category independent object proposals. In ECCV.
-
(2010)
ECCV
-
-
Endres, I.1
Hoiem, D.2
-
21
-
-
84921069139
-
-
Everingham, M., Van Gool, L., Williams, C. K. I., & Zisserman, A. (2006). The PASCAL Visual Object Classes Challenge 2006 (VOC2006). http://pascallin.ecs.soton.ac.uk/challenges/VOC/voc2006/.
-
(2006)
The PASCAL Visual Object Classes Challenge 2006 (VOC2006)
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.K.I.3
Zisserman, A.4
-
22
-
-
84921069139
-
-
Everingham, M., Van Gool, L., Williams, C., Winn, J., & Zisserman, A. (2007). The PASCAL Visual Object Classes Challenge 2007 Results.
-
(2007)
The PASCAL Visual Object Classes Challenge 2007 Results
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.3
Winn, J.4
Zisserman, A.5
-
24
-
-
0344983284
-
A bayesian approach to unsupervised one-shot learning of object categories
-
Fei-Fei, L., Fergus, R., & Perona, P. (2003). A bayesian approach to unsupervised one-shot learning of object categories. In ICCV (pp. 1134-1141).
-
(2003)
ICCV
, pp. 1134-1141
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
25
-
-
84932617705
-
Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
-
Fei-Fei, L., Fergus, R., & Perona, P. (2004). Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories. In CVPR workshop of generative model based vision.
-
(2004)
CVPR Workshop of Generative Model Based Vision
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
26
-
-
77955422240
-
Object detection with discriminatively trained part based models
-
Felzenszwalb, P., Girshick, R., McAllester, D., & Ramanan, D. (2010). Object detection with discriminatively trained part based models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(9), 1627-1645.
-
(2010)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.32
, Issue.9
, pp. 1627-1645
-
-
Felzenszwalb, P.1
Girshick, R.2
McAllester, D.3
Ramanan, D.4
-
27
-
-
0041940256
-
Object class recognition by unsupervised scale-invariant learning
-
Fergus, R., Perona, P., & Zisserman, A. (2003). Object class recognition by unsupervised scale-invariant learning. In CVPR.
-
(2003)
CVPR
-
-
Fergus, R.1
Perona, P.2
Zisserman, A.3
-
28
-
-
56449113929
-
Training structural svms when exact inference is intractable
-
Finley, T., & Joachims, T. (2008). Training structural svms when exact inference is intractable. In ICML.
-
(2008)
ICML
-
-
Finley, T.1
Joachims, T.2
-
29
-
-
34948836238
-
Towards unsupervised discovery of visual categories
-
Fritz, M., & Schiele, B. (2006). Towards unsupervised discovery of visual categories. In DAGM.
-
(2006)
DAGM
-
-
Fritz, M.1
Schiele, B.2
-
30
-
-
50649117726
-
Learning globallyconsistent local distance functions for shape-based image retrieval and classification
-
Frome, A., Singer, Y., Sha, F., & Malik, J. (2007). Learning globallyconsistent local distance functions for shape-based image retrieval and classification. In ICCV.
-
(2007)
ICCV
-
-
Frome, A.1
Singer, Y.2
Sha, F.3
Malik, J.4
-
32
-
-
77955997018
-
Weakly supervised object localization with stable segmentations
-
Galleguillos, C., Babenko, B., Rabinovich, A., & Belongie, S. (2008). Weakly supervised object localization with stable segmentations. In ECCV.
-
(2008)
ECCV
-
-
Galleguillos, C.1
Babenko, B.2
Rabinovich, A.3
Belongie, S.4
-
33
-
-
33845575890
-
Unsupervised learning of categories from sets of partially matching image features
-
Grauman, K., & Darrell, T. (2006). Unsupervised learning of categories from sets of partially matching image features. In CVPR.
-
(2006)
CVPR
-
-
Grauman, K.1
Darrell, T.2
-
34
-
-
84856671399
-
Unsupervised detection of regions of interest using iterative link analysis
-
Kim, G., & Torralba, A. (2009). Unsupervised detection of regions of interest using iterative link analysis. In NIPS.
-
(2009)
NIPS
-
-
Kim, G.1
Torralba, A.2
-
35
-
-
33750129298
-
Convergent tree-reweighted message passing for energy minimization
-
DOI 10.1109/TPAMI.2006.200
-
Kolmogorov, V. (2006a). Convergent tree-reweighted message passing for energy minimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(10), 1568-1583. (Pubitemid 46405078)
-
(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, Issue.10
, pp. 1568-1583
-
-
Kolmogorov, V.1
-
36
-
-
33750129298
-
Convergent tree-reweighted message passing for energy minimization
-
DOI 10.1109/TPAMI.2006.200
-
Kolmogorov, V. (2006b). Convergent tree-reweighted message passing for energy minimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(10), 1568-1583. (Pubitemid 46405078)
-
(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, Issue.10
, pp. 1568-1583
-
-
Kolmogorov, V.1
-
37
-
-
70450172710
-
Learning to detect unseen object classes by between-class attribute transfer
-
Lampert, C., Nickisch, H., & Harmeling, S. (2009a). Learning to detect unseen object classes by between-class attribute transfer. In CVPR.
-
(2009)
CVPR
-
-
Lampert, C.1
Nickisch, H.2
Harmeling, S.3
-
38
-
-
70350621774
-
Efficient subwindow search: A branch and bound framework for object localization
-
Lampert, C. H., Blaschko, M. B., & Hofmann, T. (2009b). Efficient subwindow search: A branch and bound framework for object localization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(12), 2129-2142.
-
(2009)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.31
, Issue.12
, pp. 2129-2142
-
-
Lampert, C.H.1
Blaschko, M.B.2
Hofmann, T.3
-
40
-
-
70450169648
-
Shape discovery from unlabeled image collections
-
Lee, Y., & Grauman, K. (2009a). Shape discovery from unlabeled image collections. In CVPR.
-
(2009)
CVPR
-
-
Lee, Y.1
Grauman, K.2
-
41
-
-
68849114784
-
Foreground focus: Unsupervised learning from partially matching images
-
Lee, Y. J., & Grauman, K. (2009b). Foreground focus: unsupervised learning from partially matching images. International Journal of Computer Vision, 85, 143-166.
-
(2009)
International Journal of Computer Vision
, vol.85
, pp. 143-166
-
-
Lee, Y.J.1
Grauman, K.2
-
42
-
-
51949096556
-
Recognition by association via learning per-exemplar distances
-
Malisiewicz, T., & Efros, A. A. (2008). Recognition by association via learning per-exemplar distances. In CVPR.
-
(2008)
CVPR
-
-
Malisiewicz, T.1
Efros, A.A.2
-
43
-
-
77953182042
-
Weakly supervised discriminative localization and classification: A joint learning process
-
Nguyen, M., Torresani, L., de la Torre, F., & Rother, C. (2009).Weakly supervised discriminative localization and classification: a joint learning process. In ICCV.
-
(2009)
ICCV
-
-
Nguyen, M.1
Torresani, L.2
De La Torre, F.3
Rother, C.4
-
44
-
-
34948866276
-
Learning visual similarity measures for comparing never seen objects
-
Nowak, E., & Jurie, F. (2007). Learning visual similarity measures for comparing never seen objects. In CVPR.
-
(2007)
CVPR
-
-
Nowak, E.1
Jurie, F.2
-
45
-
-
0035328421
-
Modeling the shape of the scene: A holistic representation of the spatial envelope
-
DOI 10.1023/A:1011139631724
-
Oliva, A., & Torralba, A. (2001). Modeling the shape of the scene: a holistic representation of the spatial envelope. International Journal of Computer Vision 42(3) 145-175. (Pubitemid 32680801)
-
(2001)
International Journal of Computer Vision
, vol.42
, Issue.3
, pp. 145-175
-
-
Oliva, A.1
Torralba, A.2
-
46
-
-
84860632234
-
From a set of shapes to object discovery
-
Payet, N., & Todorovic, S. (2010). From a set of shapes to object discovery. In ECCV.
-
(2010)
ECCV
-
-
Payet, N.1
Todorovic, S.2
-
47
-
-
51949094374
-
Transfer learning for image classification with sparse prototype representations
-
Quattoni, A., Collins, M., & Darrell, T. (2008). Transfer learning for image classification with sparse prototype representations. In CVPR.
-
(2008)
CVPR
-
-
Quattoni, A.1
Collins, M.2
Darrell, T.3
-
48
-
-
51949106645
-
Self-taught learning: Transfer learning from unlabeled data
-
Raina, R., Battle, A., Lee, H., Packer, B., & Ng, A. (2007). Self-taught learning: transfer learning from unlabeled data. In ICML.
-
(2007)
ICML
-
-
Raina, R.1
Battle, A.2
Lee, H.3
Packer, B.4
Ng, A.5
-
49
-
-
85134634152
-
Learning to parse images of articulated bodies
-
Ramanan, D. (2006). Learning to parse images of articulated bodies. In NIPS.
-
(2006)
NIPS
-
-
Ramanan, D.1
-
50
-
-
77955989949
-
What helps where-and why? semantic relatedness for knowledge transfer
-
Rohrbach, M., Stark, M., Szarvas, G., Gurevych, I., & Schiele, B. (2010). What helps where-and why? semantic relatedness for knowledge transfer. In CVPR.
-
(2010)
CVPR
-
-
Rohrbach, M.1
Stark, M.2
Szarvas, G.3
Gurevych, I.4
Schiele, B.5
-
51
-
-
12844262766
-
Grabcut: Interactive foreground extraction using iterated graph cuts
-
Rother, C., Kolmogorov, V., & Blake, A. (2004). Grabcut: interactive foreground extraction using iterated graph cuts. Computer Graphics, 23(3), 309-314.
-
(2004)
Computer Graphics
, vol.23
, Issue.3
, pp. 309-314
-
-
Rother, C.1
Kolmogorov, V.2
Blake, A.3
-
52
-
-
39749186006
-
LabelMe: A database and webbased tool for image annotation
-
Russel, B. C., & Torralba, A. (2008). LabelMe: a database and webbased tool for image annotation. International Journal of Computer Vision, 77(1-3), 157-173.
-
(2008)
International Journal of Computer Vision
, vol.77
, Issue.1-3
, pp. 157-173
-
-
Russel, B.C.1
Torralba, A.2
-
53
-
-
33845596932
-
Using multiple segmentations to discover objects and their extent in image collections
-
Russell, B. C., Efros, A. A., Sivic, J., Freeman, W. T., & Zisserman, A. (2006). Using multiple segmentations to discover objects and their extent in image collections. In CVPR.
-
(2006)
CVPR
-
-
Russell, B.C.1
Efros, A.A.2
Sivic, J.3
Freeman, W.T.4
Zisserman, A.5
-
54
-
-
77953222843
-
A shape-based object class model for knowledge transfer
-
Stark, M., Goesele, M., & Schiele, B. (2009). A shape-based object class model for knowledge transfer. In ICCV.
-
(2009)
ICCV
-
-
Stark, M.1
Goesele, M.2
Schiele, B.3
-
56
-
-
0041494227
-
Is learning the n-th thing any easier than learning the first?
-
Thrun, S. (1996). Is learning the n-th thing any easier than learning the first? In NIPS.
-
(1996)
NIPS
-
-
Thrun, S.1
-
57
-
-
33845579921
-
Extracting subimages of an unknown category from a set of images
-
Todorovic, S., & Ahuja, N. (2006). Extracting subimages of an unknown category from a set of images. In CVPR.
-
(2006)
CVPR
-
-
Todorovic, S.1
Ahuja, N.2
-
58
-
-
84898876496
-
The more you know, the less you learn: From knowledge transfer to one-shot learning of object categories
-
Tommasi, T., & Caputo, B. (2009). The more you know, the less you learn: from knowledge transfer to one-shot learning of object categories. In BMVC.
-
(2009)
BMVC
-
-
Tommasi, T.1
Caputo, B.2
-
59
-
-
77956005674
-
Safety in numbers: Learning categories from few examples with multi model knowledge transfer
-
Tommasi, T., Orabona, F., & Caputo, B. (2010). Safety in numbers: learning categories from few examples with multi model knowledge transfer. In CVPR.
-
(2010)
CVPR
-
-
Tommasi, T.1
Orabona, F.2
Caputo, B.3
-
60
-
-
80052896768
-
Efficient object category recognition using classemes
-
Torresani, L., Szummer, M., & Fitzgibbon, A. (2010). Efficient object category recognition using classemes. In ECCV.
-
(2010)
ECCV
-
-
Torresani, L.1
Szummer, M.2
Fitzgibbon, A.3
-
61
-
-
24944537843
-
Large margin methods for structured and interdependent output variables
-
Tsochantaridis, I., Joachims, T., Hofmann, T., & Altun, Y. (2005). Large margin methods for structured and interdependent output variables. Journal of Machine Learning Research, 6, 1453-1484.
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 1453-1484
-
-
Tsochantaridis, I.1
Joachims, T.2
Hofmann, T.3
Altun, Y.4
-
62
-
-
84864049528
-
Multiple instance boosting for object detection
-
Viola, P. A., Platt, J., & Zhang, C. (2005). Multiple instance boosting for object detection. In NIPS.
-
(2005)
NIPS
-
-
Viola, P.A.1
Platt, J.2
Zhang, C.3
-
63
-
-
33749257955
-
Distance metric learning for large margin nearest neighbor classification
-
Weinberger, K. Q., Blitzer, J., & Saul, L. K. (2005). Distance metric learning for large margin nearest neighbor classification. In NIPS.
-
(2005)
NIPS
-
-
Weinberger, K.Q.1
Blitzer, J.2
Saul, L.K.3
-
64
-
-
33745948591
-
LOCUS: Learning object classes with unsupervised segmentation
-
Winn, J., & Jojic, N. (2005a). LOCUS: learning object classes with unsupervised segmentation. In ICCV.
-
(2005)
ICCV
-
-
Winn, J.1
Jojic, N.2
-
65
-
-
33846580425
-
Local features and kernels for classification of texture and object categories: A comprehensive study
-
DOI 10.1007/s11263-006-9794-4
-
Zhang, J., Marszalek, M., Lazebnik, S., & Schmid, C. (2007). Local features and kernels for classification of texture and object categories: a comprehensive study. International Journal of Computer Vision, 73(2), 213-238 (Pubitemid 46181625)
-
(2007)
International Journal of Computer Vision
, vol.73
, Issue.2
, pp. 213-238
-
-
Zhang, J.1
Marszalek, M.2
Lazebnik, S.3
Schmid, C.4
|