88 citations · 226 across the 15 of their papers we have counts for
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cs.CV2017
Guiding InfoGAN with Semi-Supervision
Adrian Spurr, Emre Aksan, Otmar Hilliges
In this paper we propose a new semi-supervised GAN architecture (ss-InfoGAN) for image synthesis that leverages information from few labels (as little as 0.22%, max. 10% of the dat…
cs.CV2017★ 18 cited
Learning Human Motion Models for Long-term Predictions
Partha Ghosh, Jie Song, Emre Aksan +1
We propose a new architecture for the learning of predictive spatio-temporal motion models from data alone. Our approach, dubbed the Dropout Autoencoder LSTM, is capable of synthes…