-
1
-
-
84866657764
-
Normalized cuts and image segmentation
-
R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, and S. Ssstrunk. Normalized cuts and image segmentation. PAMI, 34(11):2274-2282, 2012.
-
(2012)
PAMI
, vol.34
, Issue.11
, pp. 2274-2282
-
-
Achanta, R.1
Shaji, A.2
Smith, K.3
Lucchi, A.4
Fua, P.5
Ssstrunk, S.6
-
2
-
-
84866688216
-
Measuring the objectness of image windows
-
B. Alexe, T. Deselaers, and V. Ferrari. Measuring the objectness of image windows. PAMI, 34(11):2189-2202, 2012.
-
(2012)
PAMI
, vol.34
, Issue.11
, pp. 2189-2202
-
-
Alexe, B.1
Deselaers, T.2
Ferrari, V.3
-
3
-
-
51949110880
-
Boundary extraction in natural images using ultrametric contour maps
-
P. Arbelaez. Boundary extraction in natural images using ultrametric contour maps. In POCV, 2006.
-
(2006)
POCV
-
-
Arbelaez, P.1
-
4
-
-
79953048649
-
Contour detection and hierarchical image segmentation
-
P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik. Contour detection and hierarchical image segmentation. PAMI, 33(5):898-916, 2011.
-
(2011)
PAMI
, vol.33
, Issue.5
, pp. 898-916
-
-
Arbelaez, P.1
Maire, M.2
Fowlkes, C.3
Malik, J.4
-
5
-
-
0022808786
-
A computational approach to edge detection
-
J. Canny. A computational approach to edge detection. PAMI, 8(6):679-698, 1986.
-
(1986)
PAMI
, vol.8
, Issue.6
, pp. 679-698
-
-
Canny, J.1
-
6
-
-
84861335581
-
Cpmc: Automatic object segmentation using constrained parametric min-cuts
-
J. Carreira and C. Sminchisescu. Cpmc: Automatic object segmentation using constrained parametric min-cuts. PAMI, 34(7):1312-1328, 2012.
-
(2012)
PAMI
, vol.34
, Issue.7
, pp. 1312-1328
-
-
Carreira, J.1
Sminchisescu, C.2
-
7
-
-
84911456915
-
BING: Binarized normed gradients for objectness estimation at 300fps
-
M.-M. Cheng, Z. Zhang, W.-Y. Lin, and P. H. S. Torr. BING: Binarized normed gradients for objectness estimation at 300fps. In CVPR, 2014.
-
(2014)
CVPR
-
-
Cheng, M.-M.1
Zhang, Z.2
Lin, W.-Y.3
Torr, P.H.S.4
-
8
-
-
84859414659
-
Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning
-
A. Criminisi, J. Shotton, and E. Konukoglu. Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning. Foundations and Trends in Computer Graphics and Vision, 7(2-3):81-227, 2012.
-
(2012)
Foundations and Trends in Computer Graphics and Vision
, vol.7
, Issue.2-3
, pp. 81-227
-
-
Criminisi, A.1
Shotton, J.2
Konukoglu, E.3
-
9
-
-
33845580709
-
Supervised learning of edges and object boundaries
-
P. Dollar, Z. Tu, and S. Belongie. Supervised learning of edges and object boundaries. In CVPR, 2006.
-
(2006)
CVPR
-
-
Dollar, P.1
Tu, Z.2
Belongie, S.3
-
10
-
-
84898820142
-
Structured forests for fast edge detection
-
P. Dollar and C. L. Zitnick. Structured forests for fast edge detection. In ICCV, 2013.
-
(2013)
ICCV
-
-
Dollar, P.1
Zitnick, C.L.2
-
11
-
-
0036565814
-
Mean shift: A robust approach toward feature space analysis
-
C. Dorin and P. Meer. Mean shift: A robust approach toward feature space analysis. PAMI, 24(5):603-619, 2002.
-
(2002)
PAMI
, vol.24
, Issue.5
, pp. 603-619
-
-
Dorin, C.1
Meer, P.2
-
12
-
-
84891598441
-
Category-independent object proposals with diverse ranking
-
I. Endres and D. Hoiem. Category-independent object proposals with diverse ranking. PAMI, 36(2):222-234, 2014.
-
(2014)
PAMI
, vol.36
, Issue.2
, pp. 222-234
-
-
Endres, I.1
Hoiem, D.2
-
14
-
-
9644254228
-
Efficient graphbased image segmentation
-
P. F. Felzenszwalb and D. P. Huttenlocher. Efficient graphbased image segmentation. IJCV, 59(2):167-181, 2004.
-
(2004)
IJCV
, vol.59
, Issue.2
, pp. 167-181
-
-
Felzenszwalb, P.F.1
Huttenlocher, D.P.2
-
15
-
-
0026221555
-
The design and use of steerable filters
-
W. T. Freeman and E. H. Adelson. The design and use of steerable filters. PAMI, 13(9):891-906, 1991.
-
(1991)
PAMI
, vol.13
, Issue.9
, pp. 891-906
-
-
Freeman, W.T.1
Adelson, E.H.2
-
16
-
-
84911400494
-
Rich feature hierarchies for accurate object detection and semantic segmentation
-
R. Girshick, J. 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
-
17
-
-
84856646828
-
Structured class-labels in random forests for semantic image labelling
-
P. Kontschieder, S. R. Bulo, H. Bischof, and M. Pelillo. Structured class-labels in random forests for semantic image labelling. In ICCV, 2011.
-
(2011)
ICCV
-
-
Kontschieder, P.1
Bulo, S.R.2
Bischof, H.3
Pelillo, M.4
-
18
-
-
84887354170
-
Sketch tokens: A learned mid-level representation for contour and object detection
-
J. Lim, C. L. Zitnick, and P. Dollar. Sketch tokens: A learned mid-level representation for contour and object detection. In CVPR, 2013.
-
(2013)
CVPR
-
-
Lim, J.1
Zitnick, C.L.2
Dollar, P.3
-
19
-
-
84898781017
-
Prime object proposals with randomized prim's algorithm
-
S. Manén, M. Guillaumin, and L. Van Gool. Prime object proposals with randomized prim's algorithm. In ICCV, 2013.
-
(2013)
ICCV
-
-
Manén, S.1
Guillaumin, M.2
Van Gool, L.3
-
20
-
-
3042525106
-
Learning to detect natural image boundaries using local brightness, color and texture cues
-
D. Martin, C. Fowlkes, and J. Malik. Learning to detect natural image boundaries using local brightness, color and texture cues. PAMI, 26(5):530-549, 2004.
-
(2004)
PAMI
, vol.26
, Issue.5
, pp. 530-549
-
-
Martin, D.1
Fowlkes, C.2
Malik, J.3
-
22
-
-
0025578952
-
Detecting and localizing edges composed of steps, peaks and roofs
-
P. Perona and J. Malik. Detecting and localizing edges composed of steps, peaks and roofs. In ICCV, 1990.
-
(1990)
ICCV
-
-
Perona, P.1
Malik, J.2
-
23
-
-
84877752264
-
Discriminatively trained sparse code gradients for contour detection
-
X. Ren and L. Bo. Discriminatively trained sparse code gradients for contour detection. In NIPS, 2012.
-
(2012)
NIPS
-
-
Ren, X.1
Bo, L.2
-
24
-
-
0034244751
-
Normalized cuts and image segmentation
-
J. Shi and J. Malik. Normalized cuts and image segmentation. PAMI, 22(8):888-905, 2000.
-
(2000)
PAMI
, vol.22
, Issue.8
, pp. 888-905
-
-
Shi, J.1
Malik, J.2
-
25
-
-
33745897632
-
Probabilistic boosting-tree: Learning discriminative models for classification, recognition, and clustering
-
Z. Tu. Probabilistic boosting-tree: learning discriminative models for classification, recognition, and clustering. In ICCV, 2005.
-
(2005)
ICCV
-
-
Tu, Z.1
-
26
-
-
84881160857
-
Selective search for object recognition
-
J. R. R. Uijlings, K. E. A. van de Sande, T. Gevers, and A.W. M. Smeulders. Selective search for object recognition. IJCV, 104(2):154-171, 2013.
-
(2013)
IJCV
, vol.104
, Issue.2
, pp. 154-171
-
-
Uijlings, J.R.R.1
Van De Sande, K.E.A.2
Gevers, T.3
Smeulders, A.W.M.4
-
27
-
-
84911380286
-
Context driven scene parsing with attention to rare classes
-
J. Yang, B. Price, S. Cohen, , and M.-H. Yang. Context driven scene parsing with attention to rare classes. In CVPR, 2014.
-
(2014)
CVPR
-
-
Yang, J.1
Price, B.2
Cohen, S.3
Yang, M.-H.4
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