506 citations · 1.2k across the 55 of their papers we have counts for
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cs.CV2017★ 58 cited
Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network
Xiao Yang, Ersin Yumer, Paul Asente +3
We present an end-to-end, multimodal, fully convolutional network for extracting semantic structures from document images. We consider document semantic structure extraction as a p…
cs.CV2017★ 2 cited
Learning a Hierarchical Latent-Variable Model of 3D Shapes
Shikun Liu, C. Lee Giles, Alexander G. Ororbia
We propose the Variational Shape Learner (VSL), a generative model that learns the underlying structure of voxelized 3D shapes in an unsupervised fashion. Through the use of skip-c…