publication . Preprint . 2016

Video Pixel Networks

Kalchbrenner, Nal; Oord, Aaron van den; Simonyan, Karen; Danihelka, Ivo; Vinyals, Oriol; Graves, Alex; Kavukcuoglu, Koray;
Open Access English
  • Published: 03 Oct 2016
Comment: 16 pages
arXiv: Computer Science::Multimedia
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Learning
Download from
19 references, page 1 of 2

Bert De Brabandere, Xu Jia, Tinne Tuytelaars, and Luc Van Gool. Dynamic lter networks. CoRR, abs/1605.09673, 2016. [OpenAIRE]

Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille. Semantic image segmentation with deep convolutional nets and fully connected crfs. CoRR, abs/1412.7062, 2014.

Chelsea Finn, Ian J. Goodfellow, and Sergey Levine. Unsupervised learning for physical interaction through video prediction. CoRR, abs/1605.07157, 2016.

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. Identity mappings in deep residual networks. CoRR, abs/1603.05027, 2016.

Sepp Hochreiter and Jurgen Schmidhuber. Long short-term memory. Neural computation, 1997.

Nal Kalchbrenner and Phil Blunsom. Recurrent continuous translation models. In EMNLP, pages 1700{1709, 2013. [OpenAIRE]

Nal Kalchbrenner, Ivo Danihelka, and Alex Graves. Grid long short-term memory. International Conference on Learning Representations, 2016. [OpenAIRE]

Michael Mathieu, Camille Couprie, and Yann LeCun. Deep multi-scale video prediction beyond mean square error. CoRR, abs/1511.05440, 2015.

Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis, and Satinder P. Singh. Actionconditional video prediction using deep networks in atari games. In NIPS, pages 2863{2871, 2015. [OpenAIRE]

Viorica Patraucean, Ankur Handa, and Roberto Cipolla. Spatio-temporal video autoencoder with di erentiable memory. CoRR, abs/1511.06309, 2015.

Marc'Aurelio Ranzato, Arthur Szlam, Joan Bruna, Michael Mathieu, Ronan Collobert, and Sumit Chopra. Video (language) modeling: a baseline for generative models of natural videos. CoRR, abs/1412.6604, 2014. [OpenAIRE]

Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, and Wang-chun Woo. Convolutional LSTM network: A machine learning approach for precipitation nowcasting. In NIPS, pages 802{810, 2015.

Nitish Srivastava, Elman Mansimov, and Ruslan Salakhutdinov. Unsupervised learning of video representations using lstms. In ICML, volume 37, pages 843{852, 2015a. [OpenAIRE]

Rupesh Kumar Srivastava, Klaus Gre , and Jurgen Schmidhuber. Highway networks. CoRR, abs/1505.00387, 2015b.

Aaron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, and Koray Kavukcuoglu. Wavenet: A generative model for raw audio. CoRR, abs/1609.03499, 2016a.

19 references, page 1 of 2
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue