-
3
-
-
84856688679
-
Learning universal multi-view age estimator using video context
-
Z. Song, B. Ni, D. Guo, et al., Learning universal multi-view age estimator using video context, in: Proceedings of the 2011 IEEE International Conference on Computer Vision, ICCV, IEEE, 2011, pp. 241-248.
-
(2011)
Proceedings of the 2011 IEEE International Conference on Computer Vision, ICCV, IEEE
, pp. 241-248
-
-
Song, Z.1
Ni, B.2
Guo, D.3
-
6
-
-
44049107671
-
Human age estimation with regression on discriminative aging manifold
-
Fu Y., Huang T.S. Human age estimation with regression on discriminative aging manifold. IEEE Trans. Multimed. 2008, 10(4):578-584.
-
(2008)
IEEE Trans. Multimed.
, vol.10
, Issue.4
, pp. 578-584
-
-
Fu, Y.1
Huang, T.S.2
-
8
-
-
70450194783
-
Human age estimation using bio-inspired features
-
G. Mu, G. Guo, Y. Fu, et al., Human age estimation using bio-inspired features, in: Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE, 2009, pp. 112-119.
-
(2009)
Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE
, pp. 112-119
-
-
Mu, G.1
Guo, G.2
Fu, Y.3
-
9
-
-
51949114851
-
Regression from patch-kernel
-
S. Yan, X. Zhou, M. Liu, et al., Regression from patch-kernel, in: Proceedings of the 2008 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE, 2008, pp. 1-8.
-
(2008)
Proceedings of the 2008 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE
, pp. 1-8
-
-
Yan, S.1
Zhou, X.2
Liu, M.3
-
10
-
-
77955999539
-
Multi-task warped Gaussian process for personalized age estimation
-
Y. Zhang, D.Y. Yeung, Multi-task warped Gaussian process for personalized age estimation, in: Proceedings of the 2010 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE, 2010, pp. 2622-2629.
-
(2010)
Proceedings of the 2010 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE
, pp. 2622-2629
-
-
Zhang, Y.1
Yeung, D.Y.2
-
11
-
-
70450193588
-
Understanding images of groups of people
-
A.C. Gallagher, T. Chen, Understanding images of groups of people, in: Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE, 2009, pp. 256-263.
-
(2009)
Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE
, pp. 256-263
-
-
Gallagher, A.C.1
Chen, T.2
-
12
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, G.E. Hinton, Imagenet classification with deep convolutional neural networks, in: Proceedings of the Advances in Neural Information Processing Systems, 2012, pp. 1097-1105.
-
(2012)
Proceedings of the Advances in Neural Information Processing Systems
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
14
-
-
84964983441
-
-
Technical report, arXiv:1409.484
-
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, A. Rabinovich, Going deeper with convolutions, Technical report, arXiv:1409.4842, 2014.
-
(2014)
Going deeper with convolutions
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
Vanhoucke, V.8
Rabinovich, A.9
-
15
-
-
85032751458
-
Deep neural networks for acoustic modeling in speech recognition: the shared views of four research groups
-
Hinton G., Deng L., Yu D., et al. Deep neural networks for acoustic modeling in speech recognition: the shared views of four research groups. IEEE Signal Process. Mag. 2012, 29(6):82-97.
-
(2012)
IEEE Signal Process. Mag.
, vol.29
, Issue.6
, pp. 82-97
-
-
Hinton, G.1
Deng, L.2
Yu, D.3
-
16
-
-
84055222005
-
Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition
-
Dahl G.E., Yu D., Deng L., et al. Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition. IEEE Trans. Audio Speech Lang. Process. 2012, 20(1):30-42.
-
(2012)
IEEE Trans. Audio Speech Lang. Process.
, vol.20
, Issue.1
, pp. 30-42
-
-
Dahl, G.E.1
Yu, D.2
Deng, L.3
-
17
-
-
84863380535
-
nsupervised feature learning for audio classification using convolutional deep belief networks
-
H. Lee, P. Pham, Y. Largman, et al., Unsupervised feature learning for audio classification using convolutional deep belief networks, in: Proceedings of Advances in Neural Information Processing Systems, 2009, pp. 1096-1104.
-
(2009)
Proceedings of Advances in Neural Information Processing Systems
, pp. 1096-1104
-
-
Lee, H.1
Pham, P.2
Largman, Y.3
-
18
-
-
84887328988
-
Pedestrian detection with unsupervised multi-stage feature learning
-
P. Sermanet, K. Kavukcuoglu, S. Chintala, et al., Pedestrian detection with unsupervised multi-stage feature learning, in: Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE, 2013, pp. 3626-3633.
-
(2013)
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE
, pp. 3626-3633
-
-
Sermanet, P.1
Kavukcuoglu, K.2
Chintala, S.3
-
19
-
-
84866696906
-
A discriminative deep model for pedestrian detection with occlusion handling
-
W. Ouyang, X. Wang, A discriminative deep model for pedestrian detection with occlusion handling, in: Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE, 2012, pp. 3258-3265.
-
(2012)
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE
, pp. 3258-3265
-
-
Ouyang, W.1
Wang, X.2
-
20
-
-
84911449919
-
Switchable deep network for pedestrian detection
-
P. Luo, Y. Tian, X. Wang, et al., Switchable deep network for pedestrian detection, in: Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE, 2014, pp. 899-906.
-
(2014)
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE
, pp. 899-906
-
-
Luo, P.1
Tian, Y.2
Wang, X.3
-
21
-
-
84898031966
-
Click prediction for web image reranking using multimodal sparse coding
-
Yu J., Rui Y., Tao D. Click prediction for web image reranking using multimodal sparse coding. IEEE Trans. Image Process. 2014, 23(5):2019-2032.
-
(2014)
IEEE Trans. Image Process.
, vol.23
, Issue.5
, pp. 2019-2032
-
-
Yu, J.1
Rui, Y.2
Tao, D.3
-
22
-
-
84911897421
-
High-order distance-based multiview stochastic learning in image classification
-
Yu J., Rui Y., Tang Y.Y., et al. High-order distance-based multiview stochastic learning in image classification. IEEE Trans. Cybern. 2014, 44(12):2431-2442.
-
(2014)
IEEE Trans. Cybern.
, vol.44
, Issue.12
, pp. 2431-2442
-
-
Yu, J.1
Rui, Y.2
Tang, Y.Y.3
-
23
-
-
84862575703
-
Adaptive hypergraph learning and its application in image classification
-
Yu J., Tao D., Wang M. Adaptive hypergraph learning and its application in image classification. IEEE Trans. Image Process. 2012, 21(7):3262-3272.
-
(2012)
IEEE Trans. Image Process.
, vol.21
, Issue.7
, pp. 3262-3272
-
-
Yu, J.1
Tao, D.2
Wang, M.3
-
24
-
-
84911126535
-
Deep learning face representation from predicting 10,000 classes
-
Y. Sun, X. Wang, X. Tang, Deep learning face representation from predicting 10,000 classes, in: Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE, 2014, pp. 1891-1898.
-
(2014)
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE
, pp. 1891-1898
-
-
Sun, Y.1
Wang, X.2
Tang, X.3
-
25
-
-
84937852544
-
Deep learning face representation by joint identification-verification
-
Y. Sun, Y. Chen, X. Wang, et al., Deep learning face representation by joint identification-verification, in: Proceedings of the Advances in Neural Information Processing Systems, 2014, pp. 1988-1996.
-
(2014)
Proceedings of the Advances in Neural Information Processing Systems
, pp. 1988-1996
-
-
Sun, Y.1
Chen, Y.2
Wang, X.3
-
26
-
-
84887364811
-
Deep convolutional network cascade for facial point detection
-
Y. Sun, X. Wang, X. Tang, Deep convolutional network cascade for facial point detection, in: Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE, 2013, pp. 3476-3483.
-
(2013)
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, IEEE
, pp. 3476-3483
-
-
Sun, Y.1
Wang, X.2
Tang, X.3
|