A Deep Representation for Volumetric Shapes

By Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang. 2015

Subfields: Representation & Self-Supervised Learning, 3D Vision & Pose

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Representation & Self-Supervised Learning

1. Matthias Zwicker

In 3D Vision & Pose

1. Matthias Zwicker
2. Mingyang Shang
3. Zhizhong Han
4. Yu-Shen Liu

Citations in the corpus

• 3D shape segmentation via shape fully convolutional networks (2017, positive): “By using volumetric representation [27, 28], standard CNN 2d convolution and pooling methods can be easily extended to 3D convolution and pooling.”