15 citations · 26 across the 9 of their papers we have counts for
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cs.LG2021
Multi-Attribute Balanced Sampling for Disentangled GAN Controls
Perla Doubinsky, Nicolas Audebert, Michel Crucianu +1
Various controls over the generated data can be extracted from the latent space of a pre-trained GAN, as it implicitly encodes the semantics of the training data. The discovered co…
cs.CV2021
Zero-shot Learning with Deep Neural Networks for Object Recognition
Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu
Zero-shot learning deals with the ability to recognize objects without any visual training sample. To counterbalance this lack of visual data, each class to recognize is associated…