-
1
-
-
84969544782
-
Unsupervised learning of video representations using LSTMs
-
Srivastava, N., Mansimov, E., Salakhudinov, R.: Unsupervised learning of video representations using LSTMs. In: ICML (2015)
-
(2015)
ICML
-
-
Srivastava, N.1
Mansimov, E.2
Salakhudinov, R.3
-
2
-
-
84990069177
-
Deep multi-scale video prediction beyond mean square error
-
Mathieu, M., Couprie, C., LeCun, Y.: Deep multi-scale video prediction beyond mean square error. CoRR (2015)
-
(2015)
Corr
-
-
Mathieu, M.1
Couprie, C.2
Lecun, Y.3
-
3
-
-
84962897886
-
Video (Language) modeling: A baseline for generative models of natural videos
-
Ranzato, M., Szlam, A., Bruna, J., Mathieu, M., Collobert, R., Chopra, S.: Video (language) modeling: a baseline for generative models of natural videos. CoRR (2014)
-
(2014)
Corr
-
-
Ranzato, M.1
Szlam, A.2
Bruna, J.3
Mathieu, M.4
Collobert, R.5
Chopra, S.6
-
4
-
-
70450207704
-
Describing objects by their attributes
-
Farhadi, A., Endres, I., Hoiem, D., Forsyth, D.: Describing objects by their attributes. In: CVPR (2009)
-
(2009)
CVPR
-
-
Farhadi, A.1
Endres, I.2
Hoiem, D.3
Forsyth, D.4
-
6
-
-
84866637964
-
Sun attribute database: Discovering, annotating, and recognizing scene attributes
-
Patterson, G., Hays, J.: Sun attribute database: discovering, annotating, and recognizing scene attributes. In: CVPR (2012)
-
(2012)
CVPR
-
-
Patterson, G.1
Hays, J.2
-
7
-
-
84959192212
-
Discovering states and transformations in image collections
-
Isola, P., Lim, J.J., Adelson, E.H.: Discovering states and transformations in image collections. In: CVPR (2015)
-
(2015)
CVPR
-
-
Isola, P.1
Lim, J.J.2
Adelson, E.H.3
-
8
-
-
84887839353
-
Data-driven hallucination of different times of day from a single outdoor photo
-
Shih, Y., Paris, S., Durand, F., Freeman, W.T.: Data-driven hallucination of different times of day from a single outdoor photo. ACM Trans. Graph. 32(6), 200:1-200:11 (2013)
-
(2013)
ACM Trans. Graph
, vol.32
, Issue.6
-
-
Shih, Y.1
Paris, S.2
Durand, F.3
Freeman, W.T.4
-
9
-
-
84995476901
-
Time-lapse mining from internet photos
-
Martin-Brualla, R., Gallup, D., Seitz, S.M.: Time-lapse mining from internet photos. ACM Trans. Graph. 34(4), 621-628 (2015)
-
(2015)
ACM Trans. Graph
, vol.34
, Issue.4
, pp. 621-628
-
-
Martin-Brualla, R.1
Gallup, D.2
Seitz, S.M.3
-
10
-
-
84973923057
-
3D time-lapse reconstruction from internet photos
-
Martin-Brualla, R., Gallup, D., Seitz, S.M.: 3D time-lapse reconstruction from internet photos. In: ICCV (2015)
-
(2015)
ICCV
-
-
Martin-Brualla, R.1
Gallup, D.2
Seitz, S.M.3
-
11
-
-
84911380009
-
Patch to the future: Unsupervised visual prediction
-
Walker, J., Gupta, A., Hebert, M.: Patch to the future: unsupervised visual prediction. In: CVPR (2014)
-
(2014)
CVPR
-
-
Walker, J.1
Gupta, A.2
Hebert, M.3
-
12
-
-
84867863926
-
Activity forecasting
-
Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.), Springer, Heidelberg
-
Kitani, K.M., Ziebart, B.D., Bagnell, J.A., Hebert, M.: Activity forecasting. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7575, pp. 201-214. Springer, Heidelberg (2012). doi:10.1007/ 978-3-642-33765-9_15
-
(2012)
ECCV 2012. LNCS
, vol.7575
, pp. 201-214
-
-
Kitani, K.M.1
Ziebart, B.D.2
Bagnell, J.A.3
Hebert, M.4
-
13
-
-
78149325735
-
A data-driven approach for event prediction
-
Daniilidis, K., Maragos, P., Paragios, N. (eds.), Springer, Heidelberg
-
Yuen, J., Torralba, A.: A data-driven approach for event prediction. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6312, pp. 707-720. Springer, Heidelberg (2010). doi:10.1007/978-3-642-15552-9_51
-
(2010)
ECCV 2010. LNCS
, vol.6312
, pp. 707-720
-
-
Yuen, J.1
Torralba, A.2
-
14
-
-
84973882750
-
Temporal perception and prediction in ego-centric video
-
Zhou, Y., Berg, T.L.: Temporal perception and prediction in ego-centric video. In: ICCV (2015)
-
(2015)
ICCV
-
-
Zhou, Y.1
Berg, T.L.2
-
15
-
-
84990055538
-
Anticipating the future by watching unlabeled video
-
Vondrick, C., Pirsiavash, H., Torralba, A.: Anticipating the future by watching unlabeled video. CoRR (2015)
-
(2015)
Corr
-
-
Vondrick, C.1
Pirsiavash, H.2
Torralba, A.3
-
18
-
-
71149119164
-
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
-
Lee, H., Grosse, R., Ranganath, R., Ng, A.Y.: Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In: ICML (2009)
-
(2009)
ICML
-
-
Lee, H.1
Grosse, R.2
Ranganath, R.3
Ng, A.Y.4
-
19
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science 313, 504-507 (2006)
-
(2006)
Science
, vol.313
, pp. 504-507
-
-
Hinton, G.E.1
Salakhutdinov, R.R.2
-
20
-
-
84898947294
-
Learning stochastic feedforward neural networks
-
Tang, Y., Salakhutdinov, R.R.: Learning stochastic feedforward neural networks. In: NIPS (2013)
-
(2013)
NIPS
-
-
Tang, Y.1
Salakhutdinov, R.R.2
-
22
-
-
84959184995
-
Learning to generate chairs with convolutional neural networks
-
Dosovitskiy, A., Springenberg, J.T., Brox, T.: Learning to generate chairs with convolutional neural networks. In: CVPR (2015)
-
(2015)
CVPR
-
-
Dosovitskiy, A.1
Springenberg, J.T.2
Brox, T.3
-
23
-
-
84983208884
-
Draw: A recurrent neural network for image generation
-
Gregor, K., Danihelka, I., Graves, A., Rezende, D., Wierstra, D.: 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
-
24
-
-
84937849144
-
Generative adversarial nets
-
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. In: NIPS (2014)
-
(2014)
NIPS
-
-
Goodfellow, I.1
Pouget-Abadie, J.2
Mirza, M.3
Xu, B.4
Warde-Farley, D.5
Ozair, S.6
Courville, A.7
Bengio, Y.8
-
25
-
-
84965154087
-
-
Denton, E.L., Chintala, S., Szlam, A., Fergus, R.: Deep generative image models using a Laplacian pyramid of adversarial networks (2015)
-
(2015)
Deep Generative Image Models Using a Laplacian Pyramid of Adversarial Networks
-
-
Denton, E.L.1
Chintala, S.2
Szlam, A.3
Fergus, R.4
-
26
-
-
84990048986
-
Unsupervised representation learning with deep convolutional generative adversarial networks
-
Radford, A., Metz, L., Chintala, S.: Unsupervised representation learning with deep convolutional generative adversarial networks. CoRR (2015)
-
(2015)
Corr
-
-
Radford, A.1
Metz, L.2
Chintala, S.3
-
27
-
-
84990036610
-
-
arXiv preprint arXiv:1604.07379
-
Pathak, D., Krähenbühl, P., Donahue, J., Darrell, T., Efros, A.: Context encoders: feature learning by inpainting. arXiv preprint arXiv:1604.07379 (2016)
-
(2016)
Context Encoders: Feature Learning by Inpainting
-
-
Pathak, D.1
Krähenbühl, P.2
Donahue, J.3
Darrell, T.4
Efros, A.5
-
28
-
-
84969584486
-
Batch normalization: Accelerating deep network training by reducing internal covariate shift
-
Ioffe, S., Szegedy, C.: Batch normalization: accelerating deep network training by reducing internal covariate shift. In: ICML (2015)
-
(2015)
ICML
-
-
Ioffe, S.1
Szegedy, C.2
-
30
-
-
84990055518
-
Learning to generate images with perceptual similarity metrics
-
Ridgeway, K., Snell, J., Roads, B., Zemel, R.S., Mozer, M.C.: Learning to generate images with perceptual similarity metrics. CoRR (2015)
-
(2015)
Corr
-
-
Ridgeway, K.1
Snell, J.2
Roads, B.3
Zemel, R.S.4
Mozer, M.C.5
-
32
-
-
85083951076
-
Adam: A method for stochastic optimization
-
Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. CoRR (2014)
-
(2014)
Corr
-
-
Kingma, D.P.1
Ba, J.2
-
33
-
-
84990050410
-
-
http://tensorflow.org (2015)
-
(2015)
-
-
-
34
-
-
85198028989
-
ImageNet: A large-scale hierarchical image database
-
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: ImageNet: a large-scale hierarchical image database. In: CVPR (2009)
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.J.4
Li, K.5
Fei-Fei, L.6
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