메뉴 건너뛰기




Volumn 3, Issue , 2016, Pages 1823-1832

Learning end-to-end video classification with rank-pooling

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONVOLUTION; NETWORK ARCHITECTURE; NEURAL NETWORKS; OPTIMIZATION; SEMANTICS; VIDEO STREAMING;

EID: 84998887168     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (45)

References (33)
  • 2
  • 3
    • 0038368335 scopus 로고    scopus 로고
    • Stability and generalization
    • Bousquet, Olivier and Elisseeff, André. Stability and generalization. JMLR, 2:499-526, 2002.
    • (2002) JMLR , vol.2 , pp. 499-526
    • Bousquet, O.1    Elisseeff, A.2
  • 6
    • 70049095509 scopus 로고    scopus 로고
    • Efficient multiple hyperparameter learning for log-linear models
    • Do, Chuong B., Foo, Chuan-Sheng, and Ng, Andrew Y. Efficient multiple hyperparameter learning for log-linear models. In NIPS, 2007.
    • (2007) NIPS
    • Do, C.B.1    Foo, C.-S.2    Ng, A.Y.3
  • 7
    • 84983107941 scopus 로고    scopus 로고
    • Generic methods for optimization-based modeling
    • Domke, Justin. Generic methods for optimization-based modeling. In AISTATS, 2012.
    • (2012) AISTATS
    • Domke, J.1
  • 8
    • 84959236502 scopus 로고    scopus 로고
    • Long-term recurrent convolutional networks for visual recognition and description
    • Donahue, Jeffrey, Anne Hendricks, Lisa, Guadarrama, Sergio, Rohrbach, Marcus, Venugopalan, Subhashini, Saenko, Kate, and Darrell, Trevor. Long-term recurrent convolutional networks for visual recognition and description. In CVPR, 2015.
    • (2015) CVPR
    • Donahue, J.1    Hendricks, A.2    Lisa, G.3    Sergio, R.4    Marcus, V.5    Subhashini, S.K.6    Darrell, T.7
  • 9
    • 84959217041 scopus 로고    scopus 로고
    • Hierarchical recurrent neural network for skeleton based action recognition
    • Du, Yong, Wang, Wei, and Wang, Liang. Hierarchical recurrent neural network for skeleton based action recognition. In CVPR, 2015.
    • (2015) CVPR
    • Du, Y.1    Wang, W.2    Wang, L.3
  • 11
    • 84986290213 scopus 로고    scopus 로고
    • Discriminative hierarchical rank pooling for activity recognition
    • Fernando, Basura, Anderson, Peter, Hutter, Marcus, and Gould, Stephen. Discriminative hierarchical rank pooling for activity recognition. In CVPR, 2016a.
    • (2016) CVPR
    • Fernando, B.1    Anderson, P.2    Hutter, M.3    Gould, S.4
  • 13
    • 84911400494 scopus 로고    scopus 로고
    • Rich feature hierarchies for accurate object detection and semantic segmentation
    • Girshick, Ross, Donahue, Jeff, Darrell, Trevor, and Malik, Jagannath. 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
  • 14
    • 0004236492 scopus 로고    scopus 로고
    • Johns Hopkins University Press, 3 edition
    • Golub, Gene H. and Loan, Charles F. Van. Matrix Computations. Johns Hopkins University Press, 3 edition, 1996.
    • (1996) Matrix Computations
    • Golub, G.H.1    Loan, C.F.V.2
  • 15
    • 84870183903 scopus 로고    scopus 로고
    • 3d convolutional neural networks for human action recognition
    • Ji, Shuiwang, Xu, Wei, Yang, Ming, and Yu, Kai. 3d convolutional neural networks for human action recognition. PAMI, 35(1):221-231, 2013.
    • (2013) PAMI , vol.35 , Issue.1 , pp. 221-231
    • Ji, S.1    Xu, W.2    Yang, M.3    Yu, K.4
  • 18
  • 19
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • Krizhevsky, Alex, Sutskever, Ilya, and Hinton, Geoffrey E. Imagenet classification with deep convolutional neural networks. In NIPS. 2012.
    • (2012) NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 20
    • 84879933290 scopus 로고    scopus 로고
    • A bilevel optimization approach for parameter learning in variational models
    • Kunisch, Karl and Pock, Thomas. A bilevel optimization approach for parameter learning in variational models. SIAM Journal on Imaging Sciences, 6(2):938-983, 2013.
    • (2013) SIAM Journal on Imaging Sciences , vol.6 , Issue.2 , pp. 938-983
    • Kunisch, K.1    Pock, T.2
  • 21
    • 51949083365 scopus 로고    scopus 로고
    • Learning realistic human actions from movies
    • Laptev, Ivan, Marszalek, Marcin, Schmid, Cordelia, and Rozenfeld, Benjamin. Learning realistic human actions from movies. In CVPR, 2008.
    • (2008) CVPR
    • Laptev, I.1    Marszalek, M.2    Schmid, C.3    Rozenfeld, B.4
  • 24
    • 77955992063 scopus 로고    scopus 로고
    • Large-scale image retrieval with compressed fisher vectors
    • Perronnin, Florent, Liu, Yan, Sánchez, Jorge, and Poirier, Hervé. Large-scale image retrieval with compressed fisher vectors. In CVPR, 2010.
    • (2010) CVPR
    • Perronnin, F.1    Liu, Y.2    Sánchez, J.3    Poirier, H.4
  • 25
    • 51949084792 scopus 로고    scopus 로고
    • Action Mach a spatio-temporal maximum average correlation height filter for action recognition
    • Rodriguez, Mikel D, Ahmed, Javed, and Shah, Mubarak. Action mach a spatio-temporal maximum average correlation height filter for action recognition. In CVPR, 2008.
    • (2008) CVPR
    • Rodriguez, M.D.1    Ahmed, J.2    Shah, M.3
  • 26
    • 84937862424 scopus 로고    scopus 로고
    • Two-stream convolutional networks for action recognition in videos
    • Simonyan, Karen and Zisserman, Andrew. Two-stream convolutional networks for action recognition in videos. In NIPS, pp. 568-576, 2014.
    • (2014) NIPS , pp. 568-576
    • Simonyan, K.1    Zisserman, A.2
  • 31
    • 84898805910 scopus 로고    scopus 로고
    • Action recognition with improved trajectories
    • Wang, Heng and Schmid, Cordelia. Action recognition with improved trajectories. In ICCV, 2013.
    • (2013) ICCV
    • Wang, H.1    Schmid, C.2
  • 32
    • 85029064010 scopus 로고    scopus 로고
    • Beyond short snippets: Deep networks for video classification
    • Yue-Hei Ng, Joe, Hausknecht, Matthew, Vijayanarasimhan, Sudheendra, Vinyals, Oriol, Monga, Rajat, and Toderici, George. Beyond short snippets: Deep networks for video classification. In CVPR, 2015.
    • (2015) CVPR
    • Ng, Y.1    Joe, H.2    Matthew, V.3    Sudheendra, V.4    Oriol, M.R.5    Toderici, G.6
  • 33
    • 84986246211 scopus 로고    scopus 로고
    • Exploiting image-trained CNN architectures for unconstrained video classification
    • Zha, Shengxin, Luisier, Florian, Andrews, Walter, Srivastava, Nitish, and Salakhutdinov, Ruslan. Exploiting image-trained CNN architectures for unconstrained video classification. In BMVC, 2015.
    • (2015) BMVC
    • Zha, S.1    Luisier, F.2    Andrews, W.3    Srivastava, N.4    Salakhutdinov, R.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.