311 citations · 979 across the 36 of their papers we have counts for
Showing 2016Show all
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cs.CV2016★ 4 cited
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
Yinda Zhang, Shuran Song, Ersin Yumer +4
Indoor scene understanding is central to applications such as robot navigation and human companion assistance. Over the last years, data-driven deep neural networks have outperform…
cs.CV2016★ 311 cited
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision
Xinchen Yan, Jimei Yang, Ersin Yumer +2
Understanding the 3D world is a fundamental problem in computer vision. However, learning a good representation of 3D objects is still an open problem due to the high dimensionalit…