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cs.CV2018
Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations
Xian Wei, Hao Shen, Martin Kleinsteuber
This work studies the problem of learning appropriate low dimensional image representations. We propose a generic algorithmic framework, which leverages two classic representation…
cs.NE2018
Dynamic Variational Autoencoders for Visual Process Modeling
Alexander Sagel, Hao Shen
This work studies the problem of modeling visual processes by leveraging deep generative architectures for learning linear, Gaussian representations from observed sequences. We pro…