167 citations · 201 across the 4 of their papers we have counts for
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cs.CV2017★ 167 cited
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction
Chen-Hsuan Lin, Chen Kong, Simon Lucey
Conventional methods of 3D object generative modeling learn volumetric predictions using deep networks with 3D convolutional operations, which are direct analogies to classical 2D…
cs.CV2015★ 15 cited
Generating Multi-Sentence Lingual Descriptions of Indoor Scenes
Dahua Lin, Chen Kong, Sanja Fidler +1
This paper proposes a novel framework for generating lingual descriptions of indoor scenes. Whereas substantial efforts have been made to tackle this problem, previous approaches f…