-
1
-
-
84866677439
-
Semantic segmentation using regions and parts
-
P. Arbeláez, B. Hariharan, C. Gu, S. Gupta, and J. Malik. Semantic segmentation using regions and parts. In CVPR, 2012.
-
(2012)
CVPR
-
-
Arbeláez, P.1
Hariharan, B.2
Gu, C.3
Gupta, S.4
Malik, J.5
-
2
-
-
84911417279
-
Multiscale combinatorial grouping
-
IEEE
-
P. Arbelaez, J. Pont-Tuset, J. Barron, F. Marques, and J. Malik. Multiscale combinatorial grouping. In Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, pages 328-335. IEEE, 2014.
-
(2014)
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on
, pp. 328-335
-
-
Arbelaez, P.1
Pont-Tuset, J.2
Barron, J.3
Marques, F.4
Malik, J.5
-
3
-
-
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
-
4
-
-
80052912306
-
Detecting people using mutually consistent poselet activations
-
L. Bourdev, S. Maji, T. Brox, and J. Malik. Detecting people using mutually consistent poselet activations. In ECCV. 2010.
-
(2010)
ECCV.
-
-
Bourdev, L.1
Maji, S.2
Brox, T.3
Malik, J.4
-
5
-
-
80052887473
-
Object segmentation by alignment of poselet activations to image contours
-
T. Brox, L. 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.2
Maji, S.3
Malik, J.4
-
8
-
-
84959216100
-
Convolutional feature masking for joint object and stuff segmentation
-
J. Dai, K. He, and J. Sun. Convolutional feature masking for joint object and stuff segmentation. In CVPR, 2015.
-
(2015)
CVPR
-
-
Dai, J.1
He, K.2
Sun, J.3
-
9
-
-
84897111386
-
The shape boltzmann machine: A strong model of object shape
-
S. A. Eslami, N. Heess, C. K. Williams, and J. Winn. The shape boltzmann machine: a strong model of object shape. International Journal of Computer Vision, 107(2):155-176, 2014.
-
(2014)
International Journal of Computer Vision
, vol.107
, Issue.2
, pp. 155-176
-
-
Eslami, S.A.1
Heess, N.2
Williams, C.K.3
Winn, J.4
-
10
-
-
77955422240
-
Object detection with discriminatively trained partbased models
-
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained partbased models. TPAMI, 32(9), 2010.
-
(2010)
TPAMI
, vol.32
, Issue.9
-
-
Felzenszwalb, P.F.1
Girshick, R.B.2
McAllester, D.3
Ramanan, D.4
-
11
-
-
85029359197
-
Fast R-CNN
-
R. Girshick. Fast R-CNN. In ICCV, 2015.
-
(2015)
ICCV
-
-
Girshick, R.1
-
12
-
-
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
-
13
-
-
84856686500
-
Semantic contours from inverse detectors
-
IEEE
-
B. Hariharan, P. Arbeláez, L. Bourdev, S. Maji, and J. Malik. Semantic contours from inverse detectors. In Computer Vision (ICCV), 2011 IEEE International Conference on, pages 991-998. IEEE, 2011.
-
(2011)
Computer Vision (ICCV), 2011 IEEE International Conference on
, pp. 991-998
-
-
Hariharan, B.1
Arbeláez, P.2
Bourdev, L.3
Maji, S.4
Malik, J.5
-
15
-
-
84906342998
-
Simultaneous detection and segmentation
-
Springer
-
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik. Simultaneous detection and segmentation. In Computer Vision-ECCV 2014, pages 297-312. Springer, 2014.
-
(2014)
Computer Vision-ECCV 2014
, pp. 297-312
-
-
Hariharan, B.1
Arbeláez, P.2
Girshick, R.3
Malik, J.4
-
16
-
-
84959236250
-
Hypercolumns for object segmentation and fine-grained localization
-
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik. Hypercolumns for object segmentation and fine-grained localization. In CVPR, 2015.
-
(2015)
CVPR
-
-
Hariharan, B.1
Arbeláez, P.2
Girshick, R.3
Malik, J.4
-
17
-
-
85009918748
-
Spatial pyramid pooling in deep convolutional networks for visual recognition
-
K. He, X. Zhang, S. Ren, and J. Sun. Spatial pyramid pooling in deep convolutional networks for visual recognition. In ECCV, 2014.
-
(2014)
ECCV
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
18
-
-
84887360598
-
A principled deep random field model for image segmentation
-
IEEE
-
P. Kohli, A. Osokin, and S. Jegelka. A principled deep random field model for image segmentation. In Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, pages 1971-1978. IEEE, 2013.
-
(2013)
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
, pp. 1971-1978
-
-
Kohli, P.1
Osokin, A.2
Jegelka, S.3
-
19
-
-
85162351107
-
Efficient inference in fully connected CRFs with Gaussian edge potentials
-
P. Krähenbühl and V. Koltun. Efficient inference in fully connected CRFs with Gaussian edge potentials. In NIPS, 2011.
-
(2011)
NIPS
-
-
Krähenbühl, P.1
Koltun, V.2
-
20
-
-
0000359337
-
Backpropagation applied to handwritten zip code recognition
-
Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel. Backpropagation applied to handwritten zip code recognition. Neural computation, 1(4), 1989.
-
(1989)
Neural Computation
, vol.1
, Issue.4
-
-
LeCun, Y.1
Boser, B.2
Denker, J.S.3
Henderson, D.4
Howard, R.E.5
Hubbard, W.6
Jackel, L.D.7
-
21
-
-
84887360102
-
Exploring compositional high order pattern potentials for structured output learning
-
IEEE
-
Y. Li, D. Tarlow, and R. Zemel. Exploring compositional high order pattern potentials for structured output learning. In Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, pages 49-56. IEEE, 2013.
-
(2013)
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
, pp. 49-56
-
-
Li, Y.1
Tarlow, D.2
Zemel, R.3
-
22
-
-
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
-
25
-
-
84919790220
-
Recurrent convolutional neural networks for scene labeling
-
P. H. O. Pinheiro and R. Collobert. Recurrent convolutional neural networks for scene labeling. In ICML, 2014.
-
(2014)
ICML
-
-
Pinheiro, P.H.O.1
Collobert, R.2
-
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 Transactions on Graphics (TOG), 23(3):309-314, 2004.
-
(2004)
ACM Transactions on Graphics (TOG)
, vol.23
, Issue.3
, pp. 309-314
-
-
Rother, C.1
Kolmogorov, V.2
Blake, A.3
-
30
-
-
84906353934
-
Scene parsing with object instances and occlusion handling
-
J. Tighe, M. Niethammer, and S. Lazebnik. Scene parsing with object instances and occlusion handling. In ECCV, 2010.
-
(2010)
ECCV
-
-
Tighe, J.1
Niethammer, M.2
Lazebnik, S.3
-
31
-
-
84930634156
-
Joint training of a convolutional network and a graphical model for human pose estimation
-
J. Tompson, A. Jain, Y. LeCun, and C. Bregler. Joint training of a convolutional network and a graphical model for human pose estimation. In NIPS, 2014.
-
(2014)
NIPS
-
-
Tompson, J.1
Jain, A.2
LeCun, Y.3
Bregler, C.4
-
32
-
-
77956051102
-
Auto-context and its application to highlevel vision tasks and 3D brain image segmentation
-
Z. Tu and X. Bai. Auto-context and its application to highlevel vision tasks and 3D brain image segmentation. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 32(10):1744-1757, 2010.
-
(2010)
Pattern Analysis and Machine Intelligence, IEEE Transactions on
, vol.32
, Issue.10
, pp. 1744-1757
-
-
Tu, Z.1
Bai, X.2
-
33
-
-
84865582931
-
Layered object models for image segmentation
-
Y. Yang, S. Hallman, D. Ramanan, and C. C. Fowlkes. Layered object models for image segmentation. TPAMI, 34(9), 2012.
-
(2012)
TPAMI
, vol.34
, Issue.9
-
-
Yang, Y.1
Hallman, S.2
Ramanan, D.3
Fowlkes, C.C.4
-
34
-
-
84887598018
-
Articulated human detection with flexible mixtures of parts
-
Y. Yang and D. Ramanan. Articulated human detection with flexible mixtures of parts. TPAMI, 35(12), 2013.
-
(2013)
TPAMI
, vol.35
, Issue.12
-
-
Yang, Y.1
Ramanan, D.2
-
35
-
-
84937134364
-
-
arXiv preprint arXiv:1502.03240
-
S. Zheng, S. Jayasumana, B. Romera-Paredes, V. Vineet, Z. Su, D. Du, C. Huang, and P. Torr. Conditional random fields as recurrent neural networks. arXiv preprint arXiv:1502.03240, 2015.
-
(2015)
Conditional Random Fields As Recurrent Neural Networks
-
-
Zheng, S.1
Jayasumana, S.2
Romera-Paredes, B.3
Vineet, V.4
Su, Z.5
Du, D.6
Huang, C.7
Torr, P.8
|