-
1
-
-
79953048649
-
Contour detection and hierarchical image segmentation
-
3, 5
-
P. Arbeláez, M. Maire, C. Fowlkes, and J. Malik. Contour detection and hierarchical image segmentation. TPAMI, 33(5):898–916, 2011. 3, 5
-
(2011)
TPAMI
, vol.33
, Issue.5
, pp. 898-916
-
-
Arbeláez, P.1
Maire, M.2
Fowlkes, C.3
Malik, J.4
-
2
-
-
85028557378
-
The fast bilateral solver
-
4
-
J. T. Barron and B. Poole. The fast bilateral solver. In ECCV, 2016. 4
-
(2016)
ECCV
-
-
Barron, J.T.1
Poole, B.2
-
3
-
-
84973888826
-
High-for-low and low-for-high: Efficient boundary detection from deep object features and its applications to high-level vision
-
1
-
G. Bertasius, J. Shi, and L. Torresani. High-for-low and low-for-high: Efficient boundary detection from deep object features and its applications to high-level vision. In ICCV, 2015. 1
-
(2015)
ICCV
-
-
Bertasius, G.1
Shi, J.2
Torresani, L.3
-
4
-
-
84986309439
-
Semantic segmentation with boundary neural fields
-
1
-
G. Bertasius, J. Shi, and L. Torresani. Semantic segmentation with boundary neural fields. In CVPR, 2016. 1
-
(2016)
CVPR
-
-
Bertasius, G.1
Shi, J.2
Torresani, L.3
-
5
-
-
80052912117
-
Object segmentation by long term analysis of point trajectories
-
T. Brox and J. Malik. Object segmentation by long term analysis of point trajectories. In ECCV, 2010. 2, 5
-
(2010)
ECCV
, vol.2
, pp. 5
-
-
Brox, T.1
Malik, J.2
-
6
-
-
84887381501
-
A video representation using temporal superpixels
-
2, 3, 5, 7
-
J. Chang, D. Wei, and J. W. Fisher III. A video representation using temporal superpixels. In CVPR, 2013. 2, 3, 5, 7
-
(2013)
CVPR
-
-
Chang, J.1
Wei, D.2
Fisher, J.W.3
-
7
-
-
85083954148
-
Semantic image segmentation with deep convolutional nets and fully connected CRFs
-
6
-
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille. Semantic image segmentation with deep convolutional nets and fully connected CRFs. In ICLR, 2015. 6
-
(2015)
ICLR
-
-
Chen, L.-C.1
Papandreou, G.2
Kokkinos, I.3
Murphy, K.4
Yuille, A.L.5
-
8
-
-
85041931014
-
Instance-sensitive fully convolutional networks
-
J. Dai, K. He, Y. Li, S. Ren, and J. Sun. Instance-sensitive fully convolutional networks. In ECCV, 2016. 2, 3
-
(2016)
ECCV
, vol.2
, pp. 3
-
-
Dai, J.1
He, K.2
Li, Y.3
Ren, S.4
Sun, J.5
-
9
-
-
85018938177
-
R-FCN: Object detection via region-based fully convolutional networks
-
J. Dai, Y. Li, K. He, and J. Sun. R-FCN: Object detection via region-based fully convolutional networks. In NIPS, 2016. 2
-
(2016)
NIPS
, vol.2
-
-
Dai, J.1
Li, Y.2
He, K.3
Sun, J.4
-
10
-
-
84919724784
-
Video segmentation by non-local consensus voting
-
A. Faktor and M. Irani. Video segmentation by non-local consensus voting. In BMVC, 2014. 5
-
(2014)
BMVC
, vol.5
-
-
Faktor, A.1
Irani, M.2
-
11
-
-
84996533970
-
Jumpcut: Non-successive mask transfer and interpolation for video cutout
-
2, 3, 5, 7
-
Q. Fan, F. Zhong, D. Lischinski, D. Cohen-Or, and B. Chen. Jumpcut: Non-successive mask transfer and interpolation for video cutout. ACM Trans. Graph., 34(6), 2015. 2, 3, 5, 7
-
(2015)
ACM Trans. Graph.
, vol.34
, Issue.6
-
-
Fan, Q.1
Zhong, F.2
Lischinski, D.3
Cohen-Or, D.4
Chen, B.5
-
12
-
-
84876258641
-
Learning hierarchical features for scene labeling
-
2, 3
-
C. Farabet, C. Couprie, L. Najman, and Y. LeCun. Learning hierarchical features for scene labeling. TPAMI, 35(8):1915–1929, 2013. 2, 3
-
(2013)
TPAMI
, vol.35
, Issue.8
, pp. 1915-1929
-
-
Farabet, C.1
Couprie, C.2
Najman, L.3
LeCun, Y.4
-
13
-
-
84866658183
-
Video segmentation by tracing discontinuities in a trajectory embedding
-
5
-
K. Fragkiadaki, G. Zhang, and J. Shi. Video segmentation by tracing discontinuities in a trajectory embedding. In CVPR, 2012. 5
-
(2012)
CVPR
-
-
Fragkiadaki, K.1
Zhang, G.2
Shi, J.3
-
14
-
-
85029359197
-
Fast R-CNN
-
1, 3
-
R. Girshick. Fast R-CNN. In ICCV, 2015. 1, 3
-
(2015)
ICCV
-
-
Girshick, R.1
-
15
-
-
84911400494
-
Rich feature hierarchies for accurate object detection and semantic segmentation
-
1
-
R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, 2014. 1
-
(2014)
CVPR
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
16
-
-
84885375240
-
Hough-based tracking of non-rigid objects
-
5
-
M. Godec, P. M. Roth, and H. Bischof. Hough-based tracking of non-rigid objects. CVIU, 117(10):1245–1256, 2013. 5
-
(2013)
CVIU
, vol.117
, Issue.10
, pp. 1245-1256
-
-
Godec, M.1
Roth, P.M.2
Bischof, H.3
-
17
-
-
77955986879
-
Efficient hierarchical graph-based video segmentation
-
2, 3, 5, 7
-
M. Grundmann, V. Kwatra, M. Han, and I. A. Essa. Efficient hierarchical graph-based video segmentation. In CVPR, 2010. 2, 3, 5, 7
-
(2010)
CVPR
-
-
Grundmann, M.1
Kwatra, V.2
Han, M.3
Essa, I.A.4
-
18
-
-
84951757850
-
Hyper-columns for object segmentation and fine-grained localization
-
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik. Hyper-columns for object segmentation and fine-grained localization. In CVPR, 2015. 2, 4
-
(2015)
CVPR
, vol.2
, pp. 4
-
-
Hariharan, B.1
Arbeláez, P.2
Girshick, R.3
Malik, J.4
-
19
-
-
84986274465
-
Deep residual learning for image recognition
-
1, 3, 4
-
K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. In CVPR, 2016. 1, 3, 4
-
(2016)
CVPR
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
20
-
-
84959205272
-
Supervoxel-consistent foreground propagation in video
-
2, 5, 8
-
S. D. Jain and K. Grauman. Supervoxel-consistent foreground propagation in video. In ECCV, 2014. 2, 5, 8
-
(2014)
ECCV
-
-
Jain, S.D.1
Grauman, K.2
-
22
-
-
85041912162
-
Learning video object segmentation from static images
-
3
-
A. Khoreva, F. Perazzi, R. Benenson, B. Schiele, and A. Sorkine-Hornung. Learning video object segmentation from static images. In CVPR, 2017. 3
-
(2017)
CVPR
-
-
Khoreva, A.1
Perazzi, F.2
Benenson, R.3
Schiele, B.4
Sorkine-Hornung, A.5
-
23
-
-
85083952789
-
Pushing the boundaries of boundary detection using deep learning
-
I. Kokkinos. Pushing the boundaries of boundary detection using deep learning. In ICLR, 2016. 1, 4
-
(2016)
ICLR
, vol.1
, pp. 4
-
-
Kokkinos, I.1
-
24
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
1, 3, 4
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012. 1, 3, 4
-
(2012)
NIPS
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
25
-
-
84863045576
-
Key-segments for video object segmentation
-
5
-
Y. J. Lee, J. Kim, and K. Grauman. Key-segments for video object segmentation. In ICCV, 2011. 5
-
(2011)
ICCV
-
-
Lee, Y.J.1
Kim, J.2
Grauman, K.3
-
26
-
-
85011302702
-
SSD: Single shot multibox detector
-
1
-
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, and S. Reed. SSD: Single shot multibox detector. In ECCV, 2016. 1
-
(2016)
ECCV
-
-
Liu, W.1
Anguelov, D.2
Erhan, D.3
Szegedy, C.4
Reed, S.5
-
27
-
-
84959205572
-
Fully convolutional networks for semantic segmentation
-
2, 3, 4
-
J. Long, E. Shelhamer, and T. Darrell. Fully convolutional networks for semantic segmentation. In CVPR, 2015. 2, 3, 4
-
(2015)
CVPR
-
-
Long, J.1
Shelhamer, E.2
Darrell, T.3
-
29
-
-
85031898737
-
Convolutional oriented boundaries
-
1, 3, 4, 5
-
K. Maninis, J. Pont-Tuset, P. Arbeláez, and L. Van Gool. Convolutional oriented boundaries. In ECCV, 2016. 1, 3, 4, 5
-
(2016)
ECCV
-
-
Maninis, K.1
Pont-Tuset, J.2
Arbeláez, P.3
Van Gool, L.4
-
30
-
-
85055914609
-
Deep retinal image understanding
-
2, 3, 4
-
K. Maninis, J. Pont-Tuset, P. Arbeláez, and L. Van Gool. Deep retinal image understanding. In MICCAI, 2016. 2, 3, 4
-
(2016)
MICCAI
-
-
Maninis, K.1
Pont-Tuset, J.2
Arbeláez, P.3
Van Gool, L.4
-
31
-
-
84911444024
-
The role of context for object detection and semantic segmentation in the wild
-
5
-
R. Mottaghi, X. Chen, X. Liu, N.-G. Cho, S.-W. Lee, S. Fi-dler, R. Urtasun, and A. Yuille. The role of context for object detection and semantic segmentation in the wild. In CVPR, 2014. 5
-
(2014)
CVPR
-
-
Mottaghi, R.1
Chen, X.2
Liu, X.3
Cho, N.-G.4
Lee, S.-W.5
Fidler, S.6
Urtasun, R.7
Yuille, A.8
-
32
-
-
84996809841
-
Learning multi-domain convolutional neural networks for visual tracking
-
H. Nam and B. Han. Learning multi-domain convolutional neural networks for visual tracking. In CVPR, 2016. 3, 8
-
(2016)
CVPR
, vol.3
, pp. 8
-
-
Nam, H.1
Han, B.2
-
33
-
-
84986328194
-
Bilateral space video segmentation
-
2, 5, 7
-
N. Nicolas Märki, F. Perazzi, O. Wang, and A. Sorkine-Hornung. Bilateral space video segmentation. In CVPR, 2016. 2, 5, 7
-
(2016)
CVPR
-
-
Nicolas Märki, N.1
Perazzi, F.2
Wang, O.3
Sorkine-Hornung, A.4
-
34
-
-
85041929914
-
Learning deconvolution network for semantic segmentation
-
H. Noh, S. Hong, and B. Han. Learning deconvolution network for semantic segmentation. In ICCV, 2015. 2, 3
-
(2015)
ICCV
, vol.2
, pp. 3
-
-
Noh, H.1
Hong, S.2
Han, B.3
-
35
-
-
84901822916
-
Segmentation of moving objects by long term video analysis
-
5
-
P. Ochs, J. Malik, and T. Brox. Segmentation of moving objects by long term video analysis. TPAMI, 36(6):1187–1200, 2014. 5
-
(2014)
TPAMI
, vol.36
, Issue.6
, pp. 1187-1200
-
-
Ochs, P.1
Malik, J.2
Brox, T.3
-
36
-
-
84898831797
-
Fast object segmentation in unconstrained video
-
5
-
A. Papazoglou and V. Ferrari. Fast object segmentation in unconstrained video. In ICCV, 2013. 5
-
(2013)
ICCV
-
-
Papazoglou, A.1
Ferrari, V.2
-
37
-
-
84986253571
-
A benchmark dataset and evaluation methodology for video object segmentation
-
2, 5, 6
-
F. Perazzi, J. Pont-Tuset, B. McWilliams, L. Van Gool, M. Gross, and A. Sorkine-Hornung. A benchmark dataset and evaluation methodology for video object segmentation. In CVPR, 2016. 2, 5, 6
-
(2016)
CVPR
-
-
Perazzi, F.1
Pont-Tuset, J.2
McWilliams, B.3
Van Gool, L.4
Gross, M.5
Sorkine-Hornung, A.6
-
38
-
-
84973890095
-
Fully connected object proposals for video segmentation
-
2, 5, 7
-
F. Perazzi, O. Wang, M. Gross, and A. Sorkine-Hornung. Fully connected object proposals for video segmentation. In ICCV, 2015. 2, 5, 7
-
(2015)
ICCV
-
-
Perazzi, F.1
Wang, O.2
Gross, M.3
Sorkine-Hornung, A.4
-
40
-
-
85006053812
-
Multiscale combinatorial grouping for image segmentation and object proposal generation
-
J. Pont-Tuset, P. Arbeláez, J. T. Barron, F. Marques, and J. Malik. Multiscale combinatorial grouping for image segmentation and object proposal generation. TPAMI, 2017. 3, 5
-
(2017)
TPAMI
, vol.3
, pp. 5
-
-
Pont-Tuset, J.1
Arbeláez, P.2
Barron, J.T.3
Marques, F.4
Malik, J.5
-
41
-
-
84866674032
-
Learning object class detectors from weakly annotated video
-
2, 5, 8
-
A. Prest, C. Leistner, J. Civera, C. Schmid, and V. Ferrari. Learning object class detectors from weakly annotated video. In CVPR, 2012. 2, 5, 8
-
(2012)
CVPR
-
-
Prest, A.1
Leistner, C.2
Civera, J.3
Schmid, C.4
Ferrari, V.5
-
42
-
-
84911386933
-
Seamseg: Video object segmentation using patch seams
-
2, 3, 5, 7
-
S. A. Ramakanth and R. V. Babu. Seamseg: Video object segmentation using patch seams. In CVPR, 2014. 2, 3, 5, 7
-
(2014)
CVPR
-
-
Ramakanth, S.A.1
Babu, R.V.2
-
43
-
-
85011287288
-
U-net: Convolutional networks for biomedical image segmentation
-
3
-
O. Ronneberger, P. Fischer, and T. Brox. U-Net: Convolutional networks for biomedical image segmentation. In MICCAI, 2015. 3
-
(2015)
MICCAI
-
-
Ronneberger, O.1
Fischer, P.2
Brox, T.3
-
44
-
-
84947041871
-
ImageNet large scale visual recognition challenge
-
1
-
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei. ImageNet Large Scale Visual Recognition Challenge. IJCV, 2015. 1
-
(2015)
IJCV
-
-
Russakovsky, O.1
Deng, J.2
Su, H.3
Krause, J.4
Satheesh, S.5
Ma, S.6
Huang, Z.7
Karpathy, A.8
Khosla, A.9
Bernstein, M.10
Berg, A.C.11
Fei-Fei, L.12
-
46
-
-
84959191527
-
Saliency-aware geodesic video object segmentation
-
5
-
J. Shen, W. Wenguan, and F. Porikli. Saliency-Aware geodesic video object segmentation. In CVPR, 2015. 5
-
(2015)
CVPR
-
-
Shen, J.1
Wenguan, W.2
Porikli, F.3
-
47
-
-
85083953063
-
Very deep convolutional networks for large-scale image recognition
-
1, 3, 4
-
K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. In ICLR, 2015. 1, 3, 4
-
(2015)
ICLR
-
-
Simonyan, K.1
Zisserman, A.2
-
48
-
-
84959181650
-
Causal video object segmentation from persistence of occlusions
-
5
-
B. Taylor, V. Karasev, and S. Soatto. Causal video object segmentation from persistence of occlusions. In CVPR, 2015. 5
-
(2015)
CVPR
-
-
Taylor, B.1
Karasev, V.2
Soatto, S.3
-
49
-
-
84986255650
-
Video segmentation via object flow
-
2, 5, 7
-
Y.-H. Tsai, M.-H. Yang, and M. J. Black. Video segmentation via object flow. In CVPR, 2016. 2, 5, 7
-
(2016)
CVPR
-
-
Tsai, Y.-H.1
Yang, M.-H.2
Black, M.J.3
-
50
-
-
84898797894
-
Active frame selection for label propagation in videos
-
5
-
S. Vijayanarasimhan and K. Grauman. Active frame selection for label propagation in videos. In ECCV, 2012. 5
-
(2012)
ECCV
-
-
Vijayanarasimhan, S.1
Grauman, K.2
-
51
-
-
84973859794
-
Holistically-nested edge detection
-
1, 2, 3, 4
-
S. Xie and Z. Tu. Holistically-nested edge detection. In ICCV, 2015. 1, 2, 3, 4
-
(2015)
ICCV
-
-
Xie, S.1
Tu, Z.2
-
52
-
-
84986265719
-
Object contour detection with a fully convolutional encoder-decoder network
-
2, 3, 4
-
J. Yang, B. Price, S. Cohen, H. Lee, and M.-H. Yang. Object contour detection with a fully convolutional encoder-decoder network. In CVPR, 2016. 2, 3, 4
-
(2016)
CVPR
-
-
Yang, J.1
Price, B.2
Cohen, S.3
Lee, H.4
Yang, M.-H.5
|