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cs.CV2021
Conditional MoCoGAN for Zero-Shot Video Generation
Shun Kimura, Kazuhiko Kawamoto
We propose a conditional generative adversarial network (GAN) model for zero-shot video generation. In this study, we have explored zero-shot conditional generation setting. In oth…
cond-mat.dis-nn2021★ 2 cited
Improved Neuronal Ensemble Inference with Generative Model and MCMC
Shun Kimura, Keisuke Ota, Koujin Takeda
Neuronal ensemble inference is a significant problem in the study of biological neural networks. Various methods have been proposed for ensemble inference from experimental data of…