-
1
-
-
84884730768
-
Compositionality in neural control: An interdisciplinary study of scribbling movements in primates
-
M. Abeles, M. Diesmann, T. Flash, T. Geisel, M. Herrmann, and M. Teicher. Compositionality in neural control: an interdisciplinary study of scribbling movements in primates. Frontiers in computational neuroscience, 7, 2013.
-
(2013)
Frontiers in Computational Neuroscience
, vol.7
-
-
Abeles, M.1
Diesmann, M.2
Flash, T.3
Geisel, T.4
Herrmann, M.5
Teicher, M.6
-
3
-
-
84908681000
-
Word spotting and recognition with embedded attributes
-
J. Almazán, A. Gordo, A. Fornés, and E. Valveny. Word spotting and recognition with embedded attributes. TPAMI, 36(12), 2014.
-
(2014)
TPAMI
, vol.36
, Issue.12
-
-
Almazán, J.1
Gordo, A.2
Fornés, A.3
Valveny, E.4
-
4
-
-
84993660571
-
Learning to compose neural networks for question answering
-
J. Andreas, M. Rohrbach, T. Darrell, and D. Klein. Learning to compose neural networks for question answering. In NAACL, 2016.
-
(2016)
NAACL
-
-
Andreas, J.1
Rohrbach, M.2
Darrell, T.3
Klein, D.4
-
5
-
-
84986272553
-
Neural module networks
-
J. Andreas, M. Rohrbach, T. Darrell, and D. Klein. Neural module networks. In CVPR, pages 39-48, 2016.
-
(2016)
CVPR
, pp. 39-48
-
-
Andreas, J.1
Rohrbach, M.2
Darrell, T.3
Klein, D.4
-
6
-
-
0023322501
-
Recognition-by-components: A theory of human image understanding
-
I. Biederman. Recognition-by-components: a theory of human image understanding. Psychological review, 94(2):115, 1987.
-
(1987)
Psychological Review
, vol.94
, Issue.2
, pp. 115
-
-
Biederman, I.1
-
7
-
-
1942470793
-
Multitask learning
-
Springer
-
R. Caruana. Multitask learning. In Learning to learn, pages 95-133. Springer, 1998.
-
(1998)
Learning to Learn
, pp. 95-133
-
-
Caruana, R.1
-
8
-
-
84887366030
-
Adding unlabeled samples to categories by learned attributes
-
J. Choi, M. Rastegari, A. Farhadi, and L. S. 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.S.4
-
9
-
-
84925408575
-
Large-scale object classification using label relation graphs
-
Springer
-
J. Deng, N. Ding, Y. Jia, A. Frome, K. Murphy, S. Bengio, Y. Li, H. Neven, and H. Adam. Large-scale object classification using label relation graphs. In ECCV. Springer, 2014.
-
(2014)
ECCV
-
-
Deng, J.1
Ding, N.2
Jia, Y.3
Frome, A.4
Murphy, K.5
Bengio, S.6
Li, Y.7
Neven, H.8
Adam, H.9
-
10
-
-
84898803425
-
Write a classifier: Zero-shot learning using purely textual descriptions
-
M. Elhoseiny, B. Saleh, and A. Elgammal. Write a classifier: Zero-shot learning using purely textual descriptions. In ICCV, pages 2584-2591, 2013.
-
(2013)
ICCV
, pp. 2584-2591
-
-
Elhoseiny, M.1
Saleh, B.2
Elgammal, A.3
-
12
-
-
50949133669
-
Liblinear: A library for large linear classification
-
R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin. Liblinear: A library for large linear classification. JMLR, 2008.
-
(2008)
JMLR
-
-
Fan, R.-E.1
Chang, K.-W.2
Hsieh, C.-J.3
Wang, X.-R.4
Lin, C.-J.5
-
14
-
-
33144466753
-
One-shot learning of object categories
-
L. Fei-Fei, R. Fergus, and P. Perona. One-shot learning of object categories. TPAMI, 28(4), 2006.
-
(2006)
TPAMI
, vol.28
, Issue.4
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
15
-
-
51949101231
-
A discriminatively trained, multiscale, deformable part model
-
P. Felzenszwalb, D. McAllester, and D. Ramanan. A discriminatively trained, multiscale, deformable part model. In Computer Vision and Pattern Recognition, 2008.
-
(2008)
Computer Vision and Pattern Recognition
-
-
Felzenszwalb, P.1
McAllester, D.2
Ramanan, D.3
-
16
-
-
33745948358
-
Building a classification cascade for visual identification from one example
-
IEEE
-
A. Ferencz, E. G. Learned-Miller, and J. Malik. Building a classification cascade for visual identification from one example. In ICCV, Volume 1. IEEE, 2005.
-
(2005)
ICCV
, vol.1
-
-
Ferencz, A.1
Learned-Miller, E.G.2
Malik, J.3
-
17
-
-
84898963788
-
Object classification from a single example utilizing class relevance metrics
-
M. Fink. Object classification from a single example utilizing class relevance metrics. NIPS, 17, 2005.
-
(2005)
NIPS
, vol.17
-
-
Fink, M.1
-
19
-
-
0023968207
-
Connectionism and cognitive architecture: A critical analysis
-
J. A. Fodor and Z. W. Pylyshyn. Connectionism and cognitive architecture: A critical analysis. Cognition, 28(1-2):3-71, 1988.
-
(1988)
Cognition
, vol.28
, Issue.1-2
, pp. 3-71
-
-
Fodor, J.A.1
Pylyshyn, Z.W.2
-
20
-
-
20444474141
-
Sense and reference
-
G. Frege. Sense and reference. The philosophical review, 57(3):209-230, 1948.
-
(1948)
The Philosophical Review
, vol.57
, Issue.3
, pp. 209-230
-
-
Frege, G.1
-
21
-
-
84898958665
-
Devise: A deep visual-semantic embedding model
-
A. Frome, G. S. Corrado, J. Shlens, S. Bengio, J. Dean, T. Mikolov, et al. Devise: A deep visual-semantic embedding model. In NIPS, pages 2121-2129, 2013.
-
(2013)
NIPS
, pp. 2121-2129
-
-
Frome, A.1
Corrado, G.S.2
Shlens, J.3
Bengio, S.4
Dean, J.5
Mikolov, T.6
-
22
-
-
84862277874
-
Understanding the difficulty of training deep feedforward neural networks
-
X. Glorot and Y. Bengio. Understanding the difficulty of training deep feedforward neural networks. In Aistats, Volume 9, pages 249-256, 2010.
-
(2010)
Aistats
, vol.9
, pp. 249-256
-
-
Glorot, X.1
Bengio, Y.2
-
24
-
-
84898773262
-
Youtube2text: Recognizing and describing arbitrary activities using semantic hierarchies and zero-shot recognition
-
S. Guadarrama, N. Krishnamoorthy, G. Malkarnenkar, S. Venugopalan, R. Mooney, T. Darrell, and K. Saenko. Youtube2text: Recognizing and describing arbitrary activities using semantic hierarchies and zero-shot recognition. In ICCV, pages 2712-2719, 2013.
-
(2013)
ICCV
, pp. 2712-2719
-
-
Guadarrama, S.1
Krishnamoorthy, N.2
Malkarnenkar, G.3
Venugopalan, S.4
Mooney, R.5
Darrell, T.6
Saenko, K.7
-
26
-
-
84973911419
-
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
-
K. He, X. Zhang, S. Ren, and J. Sun. Delving deep into rectifiers: Surpassing human-level performance on imagenet classification. In ICCV, pages 1026-1034, 2015.
-
(2015)
ICCV
, pp. 1026-1034
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
27
-
-
0021702638
-
Parts of recognition
-
D. D. Hoffman and W. A. Richards. Parts of recognition. Cognition, 18(1):65-96, 1984.
-
(1984)
Cognition
, vol.18
, Issue.1
, pp. 65-96
-
-
Hoffman, D.D.1
Richards, W.A.2
-
28
-
-
84959192212
-
Discovering states and transformations in image collections
-
P. Isola, J. J. Lim, and E. H. Adelson. Discovering states and transformations in image collections. In CVPR, 2015.
-
(2015)
CVPR
-
-
Isola, P.1
Lim, J.J.2
Adelson, E.H.3
-
29
-
-
84911379042
-
Decorrelating semantic visual attributes by resisting the urge to share
-
D. Jayaraman, F. Sha, and K. Grauman. Decorrelating semantic visual attributes by resisting the urge to share. In CVPR, 2014.
-
(2014)
CVPR
-
-
Jayaraman, D.1
Sha, F.2
Grauman, K.3
-
30
-
-
84937843643
-
Deep fragment embeddings for bidirectional image sentence mapping
-
A. Karpathy, A. Joulin, and F. F. F. Li. Deep fragment embeddings for bidirectional image sentence mapping. In NIPS, 2014.
-
(2014)
NIPS
-
-
Karpathy, A.1
Joulin, A.2
Li, F.F.F.3
-
32
-
-
84887564131
-
One shot learning of simple visual concepts
-
B. M. Lake, R. Salakhutdinov, J. Gross, and J. B. Tenenbaum. One shot learning of simple visual concepts. In Proceedings of the 33rd Annual Conference of the Cognitive Science Society, Volume 172, page 2, 2011.
-
(2011)
Proceedings of the 33rd Annual Conference of the Cognitive Science Society
, vol.172
, pp. 2
-
-
Lake, B.M.1
Salakhutdinov, R.2
Gross, J.3
Tenenbaum, J.B.4
-
35
-
-
78149322292
-
Learning to detect unseen object classes by between-class attribute transfer
-
C. H. Lampert, H. Nickisch, and S. Harmeling. Learning to detect unseen object classes by between-class attribute transfer. In CVPR. IEEE, 2009.
-
(2009)
CVPR. IEEE
-
-
Lampert, C.H.1
Nickisch, H.2
Harmeling, S.3
-
37
-
-
0000359337
-
Backpropagation applied to handwritten zip code recognition
-
Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel. Backpropagation applied to handwritten zip code recognition. Neural computation, 1, 1989.
-
(1989)
Neural Computation
, vol.1
-
-
LeCun, Y.1
Boser, B.2
Denker, J.S.3
Henderson, D.4
Howard, R.E.5
Hubbard, W.6
Jackel, L.D.7
-
38
-
-
85041907562
-
Predicting deep zero-shot convolutional neural networks using textual descriptions
-
J. Lei Ba, K. Swersky, S. Fidler, et al. Predicting deep zero-shot convolutional neural networks using textual descriptions. In CVPR, 2015.
-
(2015)
CVPR
-
-
Lei Ba, J.1
Swersky, K.2
Fidler, S.3
-
40
-
-
84973863256
-
Learning like a child: Fast novel visual concept learning from sentence descriptions of images
-
J. Mao, X. Wei, Y. Yang, J. Wang, Z. Huang, and A. L. Yuille. Learning like a child: Fast novel visual concept learning from sentence descriptions of images. In ICCV, pages 2533-2541, 2015.
-
(2015)
ICCV
, pp. 2533-2541
-
-
Mao, J.1
Wei, X.2
Yang, Y.3
Wang, J.4
Huang, Z.5
Yuille, A.L.6
-
41
-
-
84911410734
-
Costa: Cooccurrence statistics for zero-shot classification
-
T. Mensink, E. Gavves, and C. G. Snoek. Costa: Cooccurrence statistics for zero-shot classification. In CVPR, 2014.
-
(2014)
CVPR
-
-
Mensink, T.1
Gavves, E.2
Snoek, C.G.3
-
42
-
-
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
-
43
-
-
84986300500
-
Seeing through the human reporting bias: Visual classifiers from noisy human-centric labels
-
I. Misra, C. L. Zitnick, M. Mitchell, and R. Girshick. Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels. In CVPR, 2016.
-
(2016)
CVPR
-
-
Misra, I.1
Zitnick, C.L.2
Mitchell, M.3
Girshick, R.4
-
46
-
-
84856670612
-
Relative attributes
-
IEEE, 2011
-
D. Parikh and K. Grauman. Relative attributes. In ICCV. IEEE, 2011.
-
ICCV
-
-
Parikh, D.1
Grauman, K.2
-
47
-
-
84911419955
-
Learning to learn, from transfer learning to domain adaptation: A unifying perspective
-
N. Patricia and B. Caputo. Learning to learn, from transfer learning to domain adaptation: A unifying perspective. In CVPR, pages 1442-1449, 2014.
-
(2014)
CVPR
, pp. 1442-1449
-
-
Patricia, N.1
Caputo, B.2
-
48
-
-
85044335310
-
Coco attributes: Attributes for people, animals, and objects
-
G. Patterson and J. Hays. Coco attributes: Attributes for people, animals, and objects. In ECCV, 2016.
-
(2016)
ECCV
-
-
Patterson, G.1
Hays, J.2
-
50
-
-
84969931523
-
An embarrassingly simple approach to zero-shot learning
-
B. Romera-Paredes and P. Torr. An embarrassingly simple approach to zero-shot learning. In ICML, 2015.
-
(2015)
ICML
-
-
Romera-Paredes, B.1
Torr, P.2
-
51
-
-
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, 115, 2015.
-
(2015)
IJCV
, vol.115
-
-
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
-
52
-
-
84965169182
-
Visalogy: Answering visual analogy questions
-
F. Sadeghi, C. L. Zitnick, and A. Farhadi. Visalogy: Answering visual analogy questions. In NIPS, 2015.
-
(2015)
NIPS
-
-
Sadeghi, F.1
Zitnick, C.L.2
Farhadi, A.3
-
53
-
-
80052889458
-
Recognition using visual phrases
-
IEEE, 2011
-
M. A. Sadeghi and A. Farhadi. Recognition using visual phrases. In CVPR. IEEE, 2011.
-
CVPR
-
-
Sadeghi, M.A.1
Farhadi, A.2
-
56
-
-
84877780666
-
Shifting weights: Adapting object detectors from image to video
-
K. Tang, V. Ramanathan, L. Fei-Fei, and D. Koller. Shifting weights: Adapting object detectors from image to video. In NIPS, 2012.
-
(2012)
NIPS
-
-
Tang, K.1
Ramanathan, V.2
Fei-Fei, L.3
Koller, D.4
-
57
-
-
84959932469
-
Integrating language and vision to generate natural language descriptions of videos in the wild
-
J. Thomason, S. Venugopalan, S. Guadarrama, K. Saenko, and R. J. Mooney. Integrating language and vision to generate natural language descriptions of videos in the wild. In COLING, Volume 2, page 9, 2014.
-
(2014)
Coling
, vol.2
, pp. 9
-
-
Thomason, J.1
Venugopalan, S.2
Guadarrama, S.3
Saenko, K.4
Mooney, R.J.5
-
59
-
-
17444392134
-
Image parsing: Unifying segmentation, detection, and recognition
-
Z. Tu, X. Chen, A. L. Yuille, and S.-C. Zhu. Image parsing: Unifying segmentation, detection, and recognition. International Journal of computer vision, 63(2):113-140, 2005.
-
(2005)
International Journal of Computer Vision
, vol.63
, Issue.2
, pp. 113-140
-
-
Tu, Z.1
Chen, X.2
Yuille, A.L.3
Zhu, S.-C.4
-
60
-
-
85018929847
-
Learning to learn: Model regression networks for easy small sample learning
-
Springer
-
Y.-X. Wang and M. Hebert. Learning to learn: Model regression networks for easy small sample learning. In ECCV. Springer, 2016.
-
(2016)
ECCV
-
-
Wang, Y.-X.1
Hebert, M.2
-
61
-
-
77954860497
-
A numerical study of the bottom-up and top-down inference processes in and-or graphs
-
T. Wu and S.-C. Zhu. A numerical study of the bottom-up and top-down inference processes in and-or graphs. International journal of computer vision, 93(2):226-252, 2011.
-
(2011)
International Journal of Computer Vision
, vol.93
, Issue.2
, pp. 226-252
-
-
Wu, T.1
Zhu, S.-C.2
-
63
-
-
84979887597
-
Complexity of representation and inference in compositional models with part sharing
-
A. Yuille and R. Mottaghi. Complexity of representation and inference in compositional models with part sharing. Journal of Machine Learning Research, 17(11):1-28, 2016.
-
(2016)
Journal of Machine Learning Research
, vol.17
, Issue.11
, pp. 1-28
-
-
Yuille, A.1
Mottaghi, R.2
-
64
-
-
84906489074
-
Visualizing and understanding convolutional networks
-
Springer
-
M. D. Zeiler and R. Fergus. Visualizing and understanding convolutional networks. In ECCV, pages 818-833. Springer, 2014.
-
(2014)
ECCV
, pp. 818-833
-
-
Zeiler, M.D.1
Fergus, R.2
-
65
-
-
84973910934
-
Zero-shot learning via semantic similarity embedding
-
Z. Zhang and V. Saligrama. Zero-shot learning via semantic similarity embedding. In ICCV, 2015.
-
(2015)
ICCV
-
-
Zhang, Z.1
Saligrama, V.2
-
66
-
-
51949119610
-
Max margin and/or graph learning for parsing the human body
-
L. Zhu, Y. Chen, Y. Lu, C. Lin, and A. Yuille. Max margin and/or graph learning for parsing the human body. In Computer Vision and Pattern Recognition, 2008.
-
(2008)
Computer Vision and Pattern Recognition
-
-
Zhu, L.1
Chen, Y.2
Lu, Y.3
Lin, C.4
Yuille, A.5
-
67
-
-
77955986466
-
Latent hierarchical structural learning for object detection
-
L. Zhu, Y. Chen, A. Yuille, and W. Freeman. Latent hierarchical structural learning for object detection. In Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pages 1062-1069.
-
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference On
, pp. 1062-1069
-
-
Zhu, L.1
Chen, Y.2
Yuille, A.3
Freeman, W.4
-
68
-
-
80051550318
-
Recursive compositional models for vision: Description and review of recent work
-
L. L. Zhu, Y. Chen, and A. Yuille. Recursive compositional models for vision: Description and review of recent work. Journal of Mathematical Imaging and Vision, 41(1-2):122-146, 2011.
-
(2011)
Journal of Mathematical Imaging and Vision
, vol.41
, Issue.1-2
, pp. 122-146
-
-
Zhu, L.L.1
Chen, Y.2
Yuille, A.3
|