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Guiding GANs: How to control non-conditional pre-trained GANs for conditional image generation
Instead of re-training the GAN, our approach adds into the mix an encoder network to generate the high-dimensional random input vectors that are fed to the generator network of a non-conditional GAN to make it generate images from a specific subcategory.
Spatiotemporal Stacked Sequential Learning for Pedestrian Detection
In particular, we propose to use two-stage classifiers which not only rely on the image descriptors required by the base classifiers but also on the response of such base classifiers in a given spatiotemporal neighborhood.
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