-
1
-
-
84973861662
-
Look and think twice: Capturing top-down visual attention with feedback convolutional neural networks
-
C. Cao, X. Liu, Y. Yang, Y. Yu, J. Wang, Z. Wang, Y. Huang, L. Wang, C. Huang, W. Xu, D. Ramanan, and T. S. Huang. Look and think twice: Capturing top-down visual attention with feedback convolutional neural networks. In ICCV, 2015.
-
(2015)
ICCV
-
-
Cao, C.1
Liu, X.2
Yang, Y.3
Yu, Y.4
Wang, J.5
Wang, Z.6
Huang, Y.7
Wang, L.8
Huang, C.9
Xu, W.10
Ramanan, D.11
Huang, T.S.12
-
2
-
-
84887393679
-
Bayesian face revisited: A joint formulation
-
D. Chen, X. Cao, L. Wang, F. Wen, and J. Sun. Bayesian face revisited: A joint formulation. In ECCV, 2012.
-
(2012)
ECCV
-
-
Chen, D.1
Cao, X.2
Wang, L.3
Wen, F.4
Sun, J.5
-
3
-
-
84986244054
-
Attention to scale: Scale-aware semantic image segmentation
-
L.-C. Chen, Y. Yang, J. Wang, W. Xu, and A. L. Yuille. Attention to scale: Scale-aware semantic image segmentation. In CVPR, 2016.
-
(2016)
CVPR
-
-
Chen, L.-C.1
Yang, Y.2
Wang, J.3
Xu, W.4
Yuille, A.L.5
-
4
-
-
84957029470
-
Mind's eye: A recurrent visual representation for image caption generation
-
X. Chen and C. Lawrence Zitnick. Mind's eye: A recurrent visual representation for image caption generation. In CVPR, 2015.
-
(2015)
CVPR
-
-
Chen, X.1
Lawrence Zitnick, C.2
-
5
-
-
84986296607
-
Visual tracking using attention-modulated disintegration and integration
-
J. Choi, H. Jin Chang, J. Jeong, Y. Demiris, and J. Young Choi. Visual tracking using attention-modulated disintegration and integration. In CVPR, 2016.
-
(2016)
CVPR
-
-
Choi, J.1
Jin Chang, H.2
Jeong, J.3
Demiris, Y.4
Young Choi, J.5
-
6
-
-
84959250180
-
From captions to visual concepts and back
-
H. Fang, S. Gupta, F. Iandola, R. K. Srivastava, L. Deng, P. Dollar, J. Gao, X. He, M. Mitchell, J. C. Platt, C. Lawrence Zitnick, and G. Zweig. From captions to visual concepts and back. In CVPR, 2015.
-
(2015)
CVPR
-
-
Fang, H.1
Gupta, S.2
Iandola, F.3
Srivastava, R.K.4
Deng, L.5
Dollar, P.6
Gao, J.7
He, X.8
Mitchell, M.9
Platt, J.C.10
Lawrence Zitnick, C.11
Zweig, G.12
-
7
-
-
33144466753
-
One-shot learning of object categories
-
L. Fei-fei, R. Fergus, and P. Perona. One-shot learning of object categories. TPAMI, 28, 2006.
-
(2006)
TPAMI
, vol.28
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
8
-
-
84983208884
-
Draw: A recurrent neural network for image generation
-
K. Gregor, I. Danihelka, A. Graves, D. Rezende, and D. Wierstra. Draw: A recurrent neural network for image generation. In ICML, 2015.
-
(2015)
ICML
-
-
Gregor, K.1
Danihelka, I.2
Graves, A.3
Rezende, D.4
Wierstra, D.5
-
9
-
-
84986309164
-
Recurrent attention models for depth-based person identification
-
A. Haque, A. Alahi, and L. Fei-Fei. Recurrent attention models for depth-based person identification. In CVPR, 2016.
-
(2016)
CVPR
-
-
Haque, A.1
Alahi, A.2
Fei-Fei, L.3
-
10
-
-
85020183301
-
Siamese neural networks for one-shot image recognition
-
G. Koch, R. Zemel, and R. Salakhutdinov. Siamese neural networks for one-shot image recognition. In ICML, 2015.
-
(2015)
ICML
-
-
Koch, G.1
Zemel, R.2
Salakhutdinov, R.3
-
11
-
-
84986334038
-
Recurrent attentional networks for saliency detection
-
J. Kuen, Z. Wang, and G. Wang. Recurrent attentional networks for saliency detection. In CVPR, 2016.
-
(2016)
CVPR
-
-
Kuen, J.1
Wang, Z.2
Wang, G.3
-
12
-
-
70450172710
-
Learning to detect unseen object classes by betweenclass attribute transfer
-
C. H. Lampert, H. Nickisch, and S. Harmeling. Learning to detect unseen object classes by betweenclass attribute transfer. In CVPR, 2009.
-
(2009)
CVPR
-
-
Lampert, C.H.1
Nickisch, H.2
Harmeling, S.3
-
13
-
-
85038216857
-
Compositional model based fisher vector coding for image classification
-
L. Liu, P. Wang, C. Shen, L. Wang, A. van den Hengel, C. Wang, and H. T. Shen. Compositional model based fisher vector coding for image classification. TPAMI, 2017.
-
(2017)
TPAMI
-
-
Liu, L.1
Wang, P.2
Shen, C.3
Wang, L.4
Van Den Hengel, A.5
Wang, C.6
Shen, H.T.7
-
14
-
-
84898956512
-
Distributed representations of words and phrases and their compositionality
-
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. Distributed representations of words and phrases and their compositionality. In NIPS. 2013.
-
(2013)
NIPS
-
-
Mikolov, T.1
Sutskever, I.2
Chen, K.3
Corrado, G.S.4
Dean, J.5
-
17
-
-
84969931523
-
An embarrassingly simple approach to zero-shot learning
-
B. Romera-Paredes and P. H. Torr. An embarrassingly simple approach to zero-shot learning. ICML, 2015.
-
(2015)
ICML
-
-
Romera-Paredes, B.1
Torr, P.H.2
-
18
-
-
84947041871
-
ImageNet large scale visual recognition challenge
-
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.
-
(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
-
19
-
-
84898960902
-
One-shot learning with a hierarchical nonparametric Bayesian model
-
R. Salakhutdinov, J. B. Tenenbaum, and A. Torralba. One-shot learning with a hierarchical nonparametric bayesian model. JMLR Workshop, 27, 2012.
-
(2012)
JMLR Workshop
, vol.27
-
-
Salakhutdinov, R.1
Tenenbaum, J.B.2
Torralba, A.3
-
20
-
-
84989350802
-
-
A. Santoro, S. Bartunov, M. Botvinick, D. Wierstra, and T. Lillicrap. One-shot learning with memory-augmented neural networks. arXiv:1605.06065, 2016.
-
(2016)
One-Shot Learning with Memory-Augmented Neural Networks
-
-
Santoro, A.1
Bartunov, S.2
Botvinick, M.3
Wierstra, D.4
Lillicrap, T.5
-
21
-
-
85083953063
-
Very deep convolutional networks for large-scale image recognition
-
K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. In ICLR, 2015.
-
(2015)
ICLR
-
-
Simonyan, K.1
Zisserman, A.2
-
23
-
-
85026466682
-
-
O. Vinyals, C. Blundell, T. Lillicrap, K. Kavukcuoglu, and D. Wierstra. Matching networks for one shot learning. arXiv:1606.04080, 2016.
-
(2016)
Matching Networks for One Shot Learning
-
-
Vinyals, O.1
Blundell, C.2
Lillicrap, T.3
Kavukcuoglu, K.4
Wierstra, D.5
-
24
-
-
85017156120
-
Temporal pyramid pooling based convolutional neural network for action recognition
-
P. Wang, Y. Cao, C. Shen, L. Liu, and H. T. Shen. Temporal pyramid pooling based convolutional neural network for action recognition. TCSVT, 2016.
-
(2016)
TCSVT
-
-
Wang, P.1
Cao, Y.2
Shen, C.3
Liu, L.4
Shen, H.T.5
-
25
-
-
84959255406
-
The application of two-level attention models in deep convolutional neural network for fine-grained image classification
-
T. Xiao, Y. Xu, K. Yang, J. Zhang, Y. Peng, and Z. Zhang. The application of two-level attention models in deep convolutional neural network for fine-grained image classification. In CVPR, 2015.
-
(2015)
CVPR
-
-
Xiao, T.1
Xu, Y.2
Yang, K.3
Zhang, J.4
Peng, Y.5
Zhang, Z.6
-
26
-
-
84970002232
-
Show, attend and tell: Neural image caption generation with visual attention
-
K. Xu, J. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhudi-nov, R. Zemel, and Y. Bengio. Show, attend and tell: Neural image caption generation with visual attention. In ICML, 2015.
-
(2015)
ICML
-
-
Xu, K.1
Ba, J.2
Kiros, R.3
Cho, K.4
Courville, A.5
Salakhudi-Nov, R.6
Zemel, R.7
Bengio, Y.8
-
27
-
-
84986334021
-
Stacked attention networks for image question answering
-
Z. Yang, X. He, J. Gao, L. Deng, and A. Smola. Stacked attention networks for image question answering. In CVPR, 2016.
-
(2016)
CVPR
-
-
Yang, Z.1
He, X.2
Gao, J.3
Deng, L.4
Smola, A.5
|