489 citations · 1.6k across the 31 of their papers we have counts for
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cs.CV2017
Auxiliary Guided Autoregressive Variational Autoencoders
Thomas Lucas, Jakob Verbeek
Generative modeling of high-dimensional data is a key problem in machine learning. Successful approaches include latent variable models and autoregressive models. The complementary…
cs.CV2017★ 12 cited
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
Nitika Verma, Edmond Boyer, Jakob Verbeek
Convolutional neural networks (CNNs) have massively impacted visual recognition in 2D images, and are now ubiquitous in state-of-the-art approaches. CNNs do not easily extend, howe…