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In this paper, we propose a generative model, Temporal Generative Adversarial Nets (TGAN), which can learn a semantic representation of unlabeled videos, and is capable of generating videos.
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Action Bank: A High-Level Representation of Activity in Video
S. Sadanand and J. J. Corso · 2012
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UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
K. Soomro, A. R. Zamir, and M. Shah · 2012
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W. Y. Zou, S. Zhu, A. Y. Ng, and K. Yu · 2012
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3D Convolutional Neural Networks for Human Action Recognition
S. Ji, W. Xu, M. Yang, and K. Yu · 2013
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Rectifier Nonlinearities Improve Neural Network Acoustic Models
A. L. Maas, A. Y. Hannun, and A. Y. Ng · 2013
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A. Dosovitskiy, J. T. Springenberg, M. Tatarchenko, and T. Brox · 2014
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Generative Adversarial Nets
I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Large-scale Video Classification with Convolutional Neural Networks
A. Karpathy, S. Shetty, G. Toderici, R. Sukthankar, T. Leung, and Li Fei-Fei · 2014
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Learning Spatiotemporal Features with 3D Convolutional Networks
D. Tran, L. Bourdev, R. Fergus, L. Torresani, and M. Paluri · 2015
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Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors
L. Wang, Y. Qiao, and X. Tang · 2015
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Unsupervised Learning of Visual Representations using Videos
X. Wang and A. Gupta · 2015
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Deep Residual Learning for Image Recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Densely Connected Convolutional Networks
G. Huang, Z. Liu, and K. Q. Weinberger · 2016
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M. Mirza and S. Osindero · 2014
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Video (language) modeling: a baseline for generative models of natural videos
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Two-Stream Convolutional Networks for Action Recognition in Videos
K. Simonyan and A. Zisserman · 2014
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Deep Generative Image Models Using a Laplacian Pyramid of Adversarial Networks
E. Denton, S. Chintala, A. Szlam, and R. Fergus · 2015
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Unsupervised Learning of Spatiotemporally Coherent Metrics
R. Goroshin, J. Bruna, J. Tompson, D. Eigen, and Y. LeCun · 2015
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Improved Techniques for Training GANs
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Generating Videos with Scene Dynamics
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Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
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Generative Image Modeling using Style and Structure Adversarial Networks
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