-
1
-
-
0034844730
-
Interactive graph cuts for optimal boundary & region segmentation of objects in nd images
-
4322, 4325, 4327
-
Y. Y. Boykov and M.-P. Jolly. Interactive graph cuts for optimal boundary & region segmentation of objects in nd images. In ICCV, pages 105-112, 2001. 4322, 4325, 4327
-
(2001)
ICCV
, pp. 105-112
-
-
Boykov, Y.Y.1
Jolly, M.-P.2
-
2
-
-
79955702502
-
LIBSVM: A library for support vector machines
-
Software
-
C.-C. Chang and C.-J. Lin. LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2:27:1-27:27, 2011. Software available at http://www. csie. ntu. edu. tw/cjlin/libsvm. 4322, 4326
-
(2011)
ACM Transactions on Intelligent Systems and Technology
, vol.2
, pp. 271-2727
-
-
Chang, C.-C.1
Lin, C.-J.2
-
3
-
-
85072028231
-
Return of the devil in the details: Delving deep into convolutional nets
-
4323, 4324
-
K. Chatfield, K. Simonyan, A. Vedaldi, and A. Zisserman. Return of the devil in the details: Delving deep into convolutional nets. In BMVC, 2014. 4322, 4323, 4324
-
(2014)
BMVC
, pp. 4322
-
-
Chatfield, K.1
Simonyan, K.2
Vedaldi, A.3
Zisserman, A.4
-
5
-
-
33645146449
-
Histograms of oriented gradients for human detection
-
N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, pages 886-893, 2005. 4323
-
(2005)
CVPR
, vol.4323
, pp. 886-893
-
-
Dalal, N.1
Triggs, B.2
-
6
-
-
33745821718
-
Human detection using oriented histograms of flow and appearance
-
N. Dalal, B. Triggs, and C. Schmid. Human detection using oriented histograms of flow and appearance. In ECCV, pages 428-441. 2006. 4323
-
(2006)
ECCV
, vol.4323
, pp. 428-441
-
-
Dalal, N.1
Triggs, B.2
Schmid, C.3
-
7
-
-
85198028989
-
Imagenet: A large-scale hierarchical image database
-
4322, 4323, 4324
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. Imagenet: A large-scale hierarchical image database. In CVPR, pages 248-255, 2009. 4322, 4323, 4324
-
(2009)
CVPR
, pp. 248-255
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
8
-
-
77949524387
-
-
Dept. IRO, Université de Montréal, Tech. Rep
-
D. Erhan, Y. Bengio, A. Courville, and P. Vincent. Visualizing higher-layer features of a deep network. Dept. IRO, Université de Montréal, Tech. Rep, 2009. 4323
-
(2009)
Visualizing Higher-layer Features of A Deep Network
, pp. 4323
-
-
Erhan, D.1
Bengio, Y.2
Courville, A.3
Vincent, P.4
-
9
-
-
84876258641
-
Learning hierarchical features for scene labeling
-
4323
-
C. Farabet, C. Couprie, L. Najman, and Y. LeCun. Learning hierarchical features for scene labeling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(8):1915-1929, 2013. 4323
-
(2013)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.35
, Issue.8
, pp. 1915-1929
-
-
Farabet, C.1
Couprie, C.2
Najman, L.3
LeCun, Y.4
-
10
-
-
84959256029
-
Exploring semantic inter-class relationships (SIR) for zeroshot action recognition
-
C. Gan, M. Lin, Y. Yang, Y. Zhuang, and A. G. Hauptmann. Exploring semantic inter-class relationships (SIR) for zeroshot action recognition. In AAAI, 2015. 4323
-
(2015)
AAAI
, pp. 4323
-
-
Gan, C.1
Lin, M.2
Yang, Y.3
Zhuang, Y.4
Hauptmann, A.G.5
-
11
-
-
84911400494
-
Rich feature hierarchies for accurate object detection and semantic segmentation
-
4322, 4323, 4324
-
R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. CVPR, pages 580-587, 2014. 4322, 4323, 4324
-
(2014)
CVPR
, pp. 580-587
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
13
-
-
84906508687
-
Spatial pyramid pooling in deep convolutional networks for visual recognition
-
4322, 4323
-
K. He, X. Zhang, S. Ren, and J. Sun. Spatial pyramid pooling in deep convolutional networks for visual recognition. In ECCV, pages 346-361. 2014. 4322, 4323
-
(2014)
ECCV
, pp. 346-361
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
15
-
-
84986185450
-
High-level event recognition in unconstrained videos
-
4323
-
Y.-G. Jiang, S. Bhattacharya, S.-F. Chang, and M. Shah. High-level event recognition in unconstrained videos. International Journal of Multimedia Information Retrieval, 2(2):73-101, 2013. 4323
-
(2013)
International Journal of Multimedia Information Retrieval
, vol.2
, Issue.2
, pp. 73-101
-
-
Jiang, Y.-G.1
Bhattacharya, S.2
Chang, S.-F.3
Shah, M.4
-
16
-
-
84911364368
-
Large-scale video classification with convolutional neural networks
-
4322, 4323
-
A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, and L. Fei-Fei. Large-scale video classification with convolutional neural networks. In CVPR, pages 1725-1732, 2014. 4322, 4323
-
(2014)
CVPR
, pp. 1725-1732
-
-
Karpathy, A.1
Toderici, G.2
Shetty, S.3
Leung, T.4
Sukthankar, R.5
Fei-Fei, L.6
-
17
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
4322, 4323
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, pages 1097-1105, 2012. 4322, 4323
-
(2012)
NIPS
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
18
-
-
84906508190
-
Recognizing complex events in videos by learning key static-dynamic evidences
-
K.-T. Lai, D. Liu, M.-S. Chen, and S.-F. Chang. Recognizing complex events in videos by learning key static-dynamic evidences. In ECCV, pages 675-688, 2014. 4323
-
(2014)
ECCV
, vol.4323
, pp. 675-688
-
-
Lai, K.-T.1
Liu, D.2
Chen, M.-S.3
Chang, S.-F.4
-
19
-
-
84911413388
-
Video event detection by inferring temporal instance labels
-
K.-T. Lai, D. Liu, M.-S. Chen, and S.-F. Chang. Video event detection by inferring temporal instance labels. In CVPR, pages 2251-2258, 2014. 4323
-
(2014)
CVPR
, vol.4323
, pp. 2251-2258
-
-
Lai, K.-T.1
Liu, D.2
Chen, M.-S.3
Chang, S.-F.4
-
21
-
-
51949083365
-
Learning realistic human actions from movies
-
I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld. Learning realistic human actions from movies. In CVPR, pages 1-8, 2008. 4323
-
(2008)
CVPR
, vol.4323
, pp. 1-8
-
-
Laptev, I.1
Marszalek, M.2
Schmid, C.3
Rozenfeld, B.4
-
22
-
-
84890478042
-
Building high-level features using large scale unsupervised learning
-
Q. V. Le. Building high-level features using large scale unsupervised learning. In ICASSP, pages 8595-8598, 2013. 4323
-
(2013)
ICASSP
, vol.4323
, pp. 8595-8598
-
-
Le, Q.V.1
-
23
-
-
0032203257
-
Gradientbased learning applied to document recognition
-
4323
-
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradientbased learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998. 4323
-
(1998)
Proceedings of the IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
24
-
-
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, pages 3-2, 2012. 4322
-
(2012)
CVPR
, vol.32
, pp. 4322
-
-
Lee, Y.J.1
Ghosh, J.2
Grauman, K.3
-
25
-
-
84875599426
-
Video event recognition using concept attributes
-
4321, 4323
-
J. Liu, Q. Yu, O. Javed, S. Ali, A. Tamrakar, A. Divakaran, H. Cheng, and H. Sawhney. Video event recognition using concept attributes. In WACV, pages 339-346, 2013. 4321, 4323
-
(2013)
WACV
, pp. 339-346
-
-
Liu, J.1
Yu, Q.2
Javed, O.3
Ali, S.4
Tamrakar, A.5
Divakaran, A.6
Cheng, H.7
Sawhney, H.8
-
26
-
-
3042535216
-
Distinctive image features from scaleinvariant keypoints
-
4322, 4323
-
D. G. Lowe. Distinctive image features from scaleinvariant keypoints. International journal of computer vision, 60(2):91-110, 2004. 4322, 4323
-
(2004)
International Journal of Computer Vision
, vol.60
, Issue.2
, pp. 91-110
-
-
Lowe, D.G.1
-
27
-
-
84887342438
-
Story-driven summarization for egocentric video
-
Z. Lu and K. Grauman. Story-driven summarization for egocentric video. In CVPR, pages 2714-2721, 2013. 4322
-
(2013)
CVPR
, vol.4322
, pp. 2714-2721
-
-
Lu, Z.1
Grauman, K.2
-
28
-
-
84905573114
-
-
Z. Ma, Y. Yang, N. Sebe, and A. G. Hauptmann. Knowledge adaptation with partially shared features for event detection using few exemplars. pages 1789-1802, 2014. 4323
-
(2014)
Knowledge Adaptation with Partially Shared Features for Event Detection Using Few Exemplars
, vol.4323
, pp. 1789-1802
-
-
Ma, Z.1
Yang, Y.2
Sebe, N.3
Hauptmann, A.G.4
-
29
-
-
84898791167
-
Action and event recognition with fisher vectors on a compact feature set
-
D. Oneata, J. Verbeek, C. Schmid, et al. Action and event recognition with fisher vectors on a compact feature set. In ICCV, 2013. 4323, 4326
-
(2013)
ICCV
, pp. 4323-4326
-
-
Oneata, D.1
Verbeek, J.2
Schmid, C.3
-
30
-
-
84906342321
-
Category-specific video summarization
-
D. Potapov, M. Douze, Z. Harchaoui, and C. Schmid. Category-specific video summarization. In ECCV, pages 540-555. 2014. 4323
-
(2014)
ECCV
, vol.4323
, pp. 540-555
-
-
Potapov, D.1
Douze, M.2
Harchaoui, Z.3
Schmid, C.4
-
32
-
-
84924949081
-
Two-stream convolutional networks for action recognition in videos
-
K. Simonyan and A. Zisserman. Two-stream convolutional networks for action recognition in videos. In NIPS, 2014. 4322, 4323
-
(2014)
NIPS
, pp. 4322-4323
-
-
Simonyan, K.1
Zisserman, A.2
-
33
-
-
85083953063
-
Very deep convolutional networks for large-scale image recognition
-
K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. ICLR, 2015. 4323
-
(2015)
ICLR
, pp. 4323
-
-
Simonyan, K.1
Zisserman, A.2
-
34
-
-
84899713776
-
ISOMER: Informative segment observations for multimedia event recounting
-
4321, 4323
-
C. Sun, B. Burns, R. Nevatia, C. Snoek, B. Bolles, G. Myers, W. Wang, and E. Yeh. ISOMER: Informative segment observations for multimedia event recounting. In ICMR, page 241, 2014. 4321, 4323
-
(2014)
ICMR
, pp. 241
-
-
Sun, C.1
Burns, B.2
Nevatia, R.3
Snoek, C.4
Bolles, B.5
Myers, G.6
Wang, W.7
Yeh, E.8
-
35
-
-
84911429593
-
DISCOVER: Discovering important segments for classification of video events and recounting
-
4321, 4327, 4328
-
C. Sun and R. Nevatia. DISCOVER: Discovering important segments for classification of video events and recounting. In CVPR, pages 2569-257, 2014. 4321, 4327, 4328
-
(2014)
CVPR
, pp. 2569-3257
-
-
Sun, C.1
Nevatia, R.2
-
36
-
-
84939617755
-
Kernel ridge regression
-
4322, 4326
-
V. Vovk. Kernel ridge regression. In Empirical Inference, pages 105-116. 2013. 4322, 4326
-
(2013)
Empirical Inference
, pp. 105-116
-
-
Vovk, V.1
-
37
-
-
80052877143
-
Action recognition by dense trajectories
-
4322, 4323
-
H. Wang, A. Klaser, C. Schmid, and C.-L. Liu. Action recognition by dense trajectories. In CVPR, pages 3169-3176, 2011. 4322, 4323
-
(2011)
CVPR
, pp. 3169-3176
-
-
Wang, H.1
Klaser, A.2
Schmid, C.3
Liu, C.-L.4
-
38
-
-
84898805910
-
Action recognition with improved trajectories
-
4326
-
H. Wang and C. Schmid. Action recognition with improved trajectories. In ICCV, 2013. 4322, 4323, 4326
-
(2013)
ICCV
, pp. 4322-4323
-
-
Wang, H.1
Schmid, C.2
-
39
-
-
84959234840
-
Designing deep networks for surface normal estimation
-
X. Wang, D. F. Fouhey, and A. Gupta. Designing deep networks for surface normal estimation. CVPR, 2015. 4322
-
(2015)
CVPR
, pp. 4322
-
-
Wang, X.1
Fouhey, D.F.2
Gupta, A.3
-
40
-
-
84937874239
-
Deep joint task learning for generic object extraction
-
X. Wang, L. Zhang, L. Lin, Z. Liang, and W. Zuo. Deep joint task learning for generic object extraction. In NIPS, pages 523-531, 2014. 4322
-
(2014)
NIPS
, vol.4322
, pp. 523-531
-
-
Wang, X.1
Zhang, L.2
Lin, L.3
Liang, Z.4
Zuo, W.5
-
41
-
-
84938908409
-
-
arXiv preprint arXiv:1406. 5726
-
Y. Wei, W. Xia, J. Huang, B. Ni, J. Dong, Y. Zhao, and S. Yan. CNN: Single-label to multi-label. arXiv preprint arXiv:1406. 5726, 2014. 4323, 4324
-
(2014)
CNN: Single-label to Multi-label
, pp. 4323-4324
-
-
Wei, Y.1
Xia, W.2
Huang, J.3
Ni, B.4
Dong, J.5
Zhao, Y.6
Yan, S.7
-
42
-
-
84911434661
-
Zero-shot event detection using multi-modal fusion of weakly supervised concepts
-
S. Wu, S. Bondugula, F. Luisier, X. Zhuang, and P. Natarajan. Zero-shot event detection using multi-modal fusion of weakly supervised concepts. In CVPR, pages 2665-2672, 2014. 4323
-
(2014)
CVPR
, vol.4323
, pp. 2665-2672
-
-
Wu, S.1
Bondugula, S.2
Luisier, F.3
Zhuang, X.4
Natarajan, P.5
-
43
-
-
84959226659
-
A discriminative CNN video representation for event detection
-
Z. Xu, Y. Yang, and A. G. Hauptmann. A discriminative CNN video representation for event detection. CVPR, 2015. 4328
-
(2015)
CVPR
, pp. 4328
-
-
Xu, Z.1
Yang, Y.2
Hauptmann, A.G.3
-
44
-
-
84898796947
-
How related exemplars help complex event detection in web videos
-
Y. Yang, Z. Ma, Z. Xu, S. Yan, and A. G. Hauptmann. How related exemplars help complex event detection in web videos? In ICCV, pages 2104-2111, 2013. 4323
-
(2013)
ICCV
, vol.4323
, pp. 2104-2111
-
-
Yang, Y.1
Ma, Z.2
Xu, Z.3
Yan, S.4
Hauptmann, A.G.5
-
45
-
-
84871382112
-
Multimedia event recounting with concept based representation
-
4321, 4323
-
Q. Yu, J. Liu, H. Cheng, A. Divakaran, and H. Sawhney. Multimedia event recounting with concept based representation. In ACM Multimedia, pages 1073-1076, 2012. 4321, 4323
-
(2012)
ACM Multimedia
, pp. 1073-1076
-
-
Yu, Q.1
Liu, J.2
Cheng, H.3
Divakaran, A.4
Sawhney, H.5
-
46
-
-
84955324912
-
-
S.-I. Yu, L. Jiang, Z. Mao, X. Chang, X. Du, C. Gan, Z. Lan, Z. Xu, X. Li, Y. Cai, et al. Informedia@ TRECVID 2014 MED and MER. 4324, 4325
-
Informedia@ TRECVID 2014 MED and MER
, pp. 4324-4325
-
-
Yu, S.-I.1
Jiang, L.2
Mao, Z.3
Chang, X.4
Du, X.5
Gan, C.6
Lan, Z.7
Xu, Z.8
Li, X.9
Cai, Y.10
-
47
-
-
84906489074
-
Visualizing and understanding convolutional networks
-
M. D. Zeiler and R. Fergus. Visualizing and understanding convolutional networks. In ECCV, pages 818-833. 2014. 4323
-
(2014)
ECCV
, vol.4323
, pp. 818-833
-
-
Zeiler, M.D.1
Fergus, R.2
-
48
-
-
84911390996
-
Saliency optimization from robust background detection
-
4327, 4328
-
W. Zhu, S. Liang, Y. Wei, and J. Sun. Saliency optimization from robust background detection. In CVPR, pages 2814-2821, 2014. 4327, 4328
-
(2014)
CVPR
, pp. 2814-2821
-
-
Zhu, W.1
Liang, S.2
Wei, Y.3
Sun, J.4
|