-
2
-
-
24644446560
-
Ensemble tracking
-
S. Avidan. Ensemble tracking. In CVPR, 2005
-
(2005)
CVPR
-
-
Avidan, S.1
-
3
-
-
80054897941
-
Multiple object tracking using k-shortest paths optimization
-
J. Berclaz, F. Fleuret, E. Turetken, and P. Fua. Multiple object tracking using k-shortest paths optimization. TPAMI, 2011
-
(2011)
TPAMI
-
-
Berclaz, J.1
Fleuret, F.2
Turetken, E.3
Fua, P.4
-
4
-
-
51849168866
-
Representing shape with a spatial pyramid kernel
-
A. Bosch, A. Zisserman, and X. Munoz. Representing shape with a spatial pyramid kernel. In CVPR, 2007
-
(2007)
CVPR
-
-
Bosch, A.1
Zisserman, A.2
Munoz, X.3
-
7
-
-
84898803720
-
Neil: Extracting visual knowledge from web data
-
X. Chen, A. Shrivastava, and A. Gupta. NEIL: Extracting Visual Knowledge from Web Data. In ICCV, 2013
-
(2013)
ICCV
-
-
Chen, X.1
Shrivastava, A.2
Gupta, A.3
-
8
-
-
84887366030
-
Adding unlabeled samples to categories by learned attributes
-
J. Choi, M. Rastegari, A. Farhadi, and L. Davis. Adding unlabeled samples to categories by learned attributes. In CVPR, 2013
-
(2013)
CVPR
-
-
Choi, J.1
Rastegari, M.2
Farhadi, A.3
Davis, L.4
-
9
-
-
84898771670
-
Ensemble projection for semisupervised image classification
-
D. Dai and L. Van Gool. Ensemble projection for semisupervised image classification. In ICCV, 2013
-
(2013)
ICCV
-
-
Dai, D.1
Van Gool, L.2
-
10
-
-
84866636076
-
Learning to localize detected objects
-
Q. Dai and D. Hoiem. Learning to localize detected objects. In CVPR, 2012
-
(2012)
CVPR
-
-
Dai, Q.1
Hoiem, D.2
-
11
-
-
85198028989
-
Imagenet: A large-scale hierarchical image database
-
J. Deng, W. Dong, R. Socher, L. jia Li, K. Li, and L. Feifei. Imagenet: A large-scale hierarchical image database. In CVPR, 2009
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Jia Li, L.4
Li, K.5
FeiFei, L.6
-
12
-
-
84911368326
-
Learning everything about anything: Webly-supervised visual concept learning
-
S. Divvala, A. Farhadi, and C. Guestrin. Learning everything about anything: Webly-supervised visual concept learning. In CVPR, 2014
-
(2014)
CVPR
-
-
Divvala, S.1
Farhadi, A.2
Guestrin, C.3
-
15
-
-
77955655063
-
Semi-supervised learning in gigantic image collections
-
R. Fergus, Y. Weiss, and A. Torralba. Semi-supervised learning in gigantic image collections. In NIPS, 2009
-
(2009)
NIPS
-
-
Fergus, R.1
Weiss, Y.2
Torralba, A.3
-
16
-
-
84911424892
-
Object-based multiple foreground video co-segmentation
-
H. Fu, D. Xu, B. Zhang, and S. Lin. Object-based multiple foreground video co-segmentation. In CVPR, 2014
-
(2014)
CVPR
-
-
Fu, H.1
Xu, D.2
Zhang, B.3
Lin, S.4
-
18
-
-
84866704163
-
Are we ready for autonomous driving? the kitti vision benchmark suite
-
A. Geiger, P. Lenz, and R. Urtasun. Are we ready for autonomous driving? the kitti vision benchmark suite. In CVPR, 2012
-
(2012)
CVPR
-
-
Geiger, A.1
Lenz, P.2
Urtasun, R.3
-
19
-
-
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
-
20
-
-
70350531007
-
Semi-supervised on-line boosting for robust tracking
-
H. Grabner, C. Leistner, and H. Bischof. Semi-supervised on-line boosting for robust tracking. In ECCV, 2008
-
(2008)
ECCV
-
-
Grabner, H.1
Leistner, C.2
Bischof, H.3
-
21
-
-
84898835433
-
Video cosegmentation for meaningful action extraction
-
J. Guo, Z. Li, L.-F. Cheong, and S. Z. Zhou1. Video cosegmentation for meaningful action extraction. In CVPR, 2013
-
(2013)
CVPR
-
-
Guo, J.1
Li, Z.2
Cheong, L.-F.3
Zhou, S.Z.4
-
22
-
-
84856659290
-
Struck: Structured output tracking with kernels
-
S. Hare, A. Saffari, and P. Torr. Struck: Structured output tracking with kernels. In ICCV, 2011
-
(2011)
ICCV
-
-
Hare, S.1
Saffari, A.2
Torr, P.3
-
23
-
-
84887395819
-
Discriminative decorrelation for clustering and classification
-
B. Hariharan, J. Malik, and D. Ramanan. Discriminative decorrelation for clustering and classification. In ECCV, 2012
-
(2012)
ECCV
-
-
Hariharan, B.1
Malik, J.2
Ramanan, D.3
-
24
-
-
85162513516
-
Object bank: A high-level image representation for scene classification & semantic feature sparsification
-
L. jia Li, H. Su, E. P. Xing, and L. Fei-fei. Object bank: A high-level image representation for scene classification & semantic feature sparsification. In NIPS, 2010
-
(2010)
NIPS
-
-
Jia Li, L.1
Su, H.2
Xing, E.P.3
Fei-Fei, L.4
-
27
-
-
68949141755
-
A least-squares approach to direct importance estimation
-
T. Kanamori, S. Hido, and M. Sugiyama. A least-squares approach to direct importance estimation. JMLR, 2009
-
(2009)
JMLR
-
-
Kanamori, T.1
Hido, S.2
Sugiyama, M.3
-
28
-
-
84911364368
-
Large-scale video classification with convolutional neural networks
-
A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, and L. Fei-Fei. Large-scale video classification with convolutional neural networks. In CVPR, 2014
-
(2014)
CVPR
-
-
Karpathy, A.1
Toderici, G.2
Shetty, S.3
Leung, T.4
Sukthankar, R.5
Fei-Fei, L.6
-
30
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012
-
(2012)
NIPS
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
31
-
-
84959200095
-
Interactively guiding semi-supervised clustering via attribute-based explanations
-
S. Lad and D. Parikh. Interactively guiding semi-supervised clustering via attribute-based explanations. In ECCV, 2014
-
(2014)
ECCV
-
-
Lad, S.1
Parikh, D.2
-
32
-
-
84866723224
-
Discovering important people and objects for egocentric video summarization
-
Y. J. Lee, J. Ghosh, and K. Grauman. Discovering important people and objects for egocentric video summarization. In CVPR, 2012
-
(2012)
CVPR
-
-
Lee, Y.J.1
Ghosh, J.2
Grauman, K.3
-
33
-
-
84959221618
-
-
arXiv preprint
-
X. Liang, S. Liu, Y. Wei, L. Liu, L. Lin, and S. Yan. Computational baby learning. arXiv preprint, 2014
-
(2014)
Computational Baby Learning
-
-
Liang, X.1
Liu, S.2
Wei, Y.3
Liu, L.4
Lin, L.5
Yan, S.6
-
34
-
-
84906505935
-
-
arXiv
-
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, and C. L. Z. Piotr Dollar. Microsoft coco: Common objects in context. arXiv, 2014
-
(2014)
Microsoft Coco: Common Objects in Context
-
-
Lin, T.-Y.1
Maire, M.2
Belongie, S.3
Hays, J.4
Perona, P.5
Ramanan, D.6
Piotr Dollar, C.L.Z.7
-
35
-
-
78049527922
-
A hierarchical visual model for video object summarization
-
D. Liu, G. Hua, and T. Chen. A hierarchical visual model for video object summarization. PAMI, 2010
-
(2010)
PAMI
-
-
Liu, D.1
Hua, G.2
Chen, T.3
-
36
-
-
84863411575
-
Ensemble of exemplar-svms for object detection and beyond
-
T. Malisiewicz, A. Gupta, and A. A. Efros. Ensemble of exemplar-svms for object detection and beyond. In ICCV, 2011
-
(2011)
ICCV
-
-
Malisiewicz, T.1
Gupta, A.2
Efros, A.A.3
-
39
-
-
80052890615
-
A largescale benchmark dataset for event recognition in surveillance video
-
S. Oh, A. Hoogs, A. Perera, N. Cuntoor, C.-C. Chen, J. T. Lee, S. Mukherjee, J. K. Aggarwal, H. Lee, L. Davis, E. Swears, X. Wang, Q. Ji, K. Reddy, M. Shah, C. Vondrick, H. Pirsiavash, D. Ramanan, J. Yuen, A. Torralba, B. Song, A. Fong, A. Roy-Chowdhury, and M. Desai. A largescale benchmark dataset for event recognition in surveillance video. In CVPR, 2011
-
(2011)
CVPR
-
-
Oh, S.1
Hoogs, A.2
Perera, A.3
Cuntoor, N.4
Chen, C.-C.5
Lee, J.T.6
Mukherjee, S.7
Aggarwal, J.K.8
Lee, H.9
Davis, L.10
Swears, E.11
Wang, X.12
Ji, Q.13
Reddy, K.14
Shah, M.15
Vondrick, C.16
Pirsiavash, H.17
Ramanan, D.18
Yuen, J.19
Torralba, A.20
Song, B.21
Fong, A.22
Roy-Chowdhury, A.23
Desai, M.24
more..
-
40
-
-
84898798671
-
Finding the best from the second bests-inhibiting subjective bias in evaluation of visual tracking algorithms
-
Y. Pang and H. Ling. Finding the best from the second bests-inhibiting subjective bias in evaluation of visual tracking algorithms. In ICCV, 2013
-
(2013)
ICCV
-
-
Pang, Y.1
Ling, H.2
-
41
-
-
80052904076
-
Globallyoptimal greedy algorithms for tracking a variable number of objects
-
H. Pirsiavash, D. Ramanan, and C. C. Fowlkes. Globallyoptimal greedy algorithms for tracking a variable number of objects. In CVPR, 2011
-
(2011)
CVPR
-
-
Pirsiavash, H.1
Ramanan, D.2
Fowlkes, C.C.3
-
42
-
-
84866674032
-
Learning object class detectors from weakly annotated video
-
A. Prest, C. Leistner, J. Civera, C. Schmid, and V. Ferrari. Learning object class detectors from weakly annotated video. In CVPR, 2012
-
(2012)
CVPR
-
-
Prest, A.1
Leistner, C.2
Civera, J.3
Schmid, C.4
Ferrari, V.5
-
43
-
-
35348895580
-
Semisupervised self-training of object detection models
-
C. Rosenberg, M. Hebert, and H. Schneiderman. Semisupervised self-training of object detection models. In WACV, 2005
-
(2005)
WACV
-
-
Rosenberg, C.1
Hebert, M.2
Schneiderman, H.3
-
46
-
-
84887386223
-
Constrained semi-supervised learning using attributes and comparative attributes
-
A. Shrivastava, S. Singh, and A. Gupta. Constrained semi-supervised learning using attributes and comparative attributes. In ECCV, 2012
-
(2012)
ECCV
-
-
Shrivastava, A.1
Singh, S.2
Gupta, A.3
-
47
-
-
59649108206
-
A co-regularized approach to semi-supervised learning with multiple views
-
V. Sindhwani and P. Niyogi. A co-regularized approach to semi-supervised learning with multiple views. In ICML Workshop, 2005
-
(2005)
ICML Workshop
-
-
Sindhwani, V.1
Niyogi, P.2
-
48
-
-
84887368146
-
Self-paced learning for long-term tracking
-
J. S. Supancic III and D. Ramanan. Self-paced learning for long-term tracking. In CVPR, 2013
-
(2013)
CVPR
-
-
Supancic, J.S.1
Ramanan, D.2
-
49
-
-
84887363653
-
Discriminative segment annotation in weakly labeled video
-
K. Tang, R. Sukthankar, J. Yagnik, and L. Fei-Fei. Discriminative segment annotation in weakly labeled video. In CVPR, 2013
-
(2013)
CVPR
-
-
Tang, K.1
Sukthankar, R.2
Yagnik, J.3
Fei-Fei, L.4
-
50
-
-
84864465181
-
Tracking-based semi-supervised learning
-
A. Teichman and S. Thrun. Tracking-based semi-supervised learning. In RSS, 2011
-
(2011)
RSS
-
-
Teichman, A.1
Thrun, S.2
-
53
-
-
84959210948
-
Video object discovery and co-segmentation with extremely weak supervision
-
L. Wang, G. Hua, R. Sukthankar, J. Xue, and N. Zheng. Video object discovery and co-segmentation with extremely weak supervision. In ECCV, 2014
-
(2014)
ECCV
-
-
Wang, L.1
Hua, G.2
Sukthankar, R.3
Xue, J.4
Zheng, N.5
-
54
-
-
84959250182
-
Model recommendation: Generating object detectors from few samples
-
Y.-X. Wang and M. Hebert. Model recommendation: Generating object detectors from few samples. In CVPR, 2015
-
(2015)
CVPR
-
-
Wang, Y.-X.1
Hebert, M.2
-
55
-
-
77953190737
-
Labelme video: Building a video database with human annotations
-
J. Yuen, B. C. Russell, C. Liu, and A. Torralba. Labelme video: Building a video database with human annotations. In ICCV, 2009.
-
(2009)
ICCV
-
-
Yuen, J.1
Russell, B.C.2
Liu, C.3
Torralba, A.4
|