Deep learning with geodesic moments for 3D shape classification

By Lorenzo Luciano, A. Hamza. 2018

48 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Geometry and Topology, 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 Computational Mechanics

1. Charles Ruizhongtai Qi
2. Leonidas J. Guibas
3. Hao Su
4. Li Yi
5. Matthias Nießner
6. Andreas Geiger
7. Or Litany
8. Angela Dai

In Computer Vision and Pattern Recognition

1. Leonidas J. Guibas
2. Luc Van Gool
3. Charles Ruizhongtai Qi
4. Jitendra Malik
5. Xiaogang Wang
6. Andrea Vedaldi
7. Dacheng Tao
8. Trevor Darrell

In Geometry and Topology

1. Charles Ruizhongtai Qi
2. Hao Su
3. Li Yi
4. Leonidas J. Guibas

In 3D Vision & Pose

1. Leonidas J. Guibas
2. Charles Ruizhongtai Qi
3. Hao Su
4. Li Yi
5. Or Litany
6. Matthias Nießner
7. Angela Dai
8. M. Ovsjanikov

Citations in the corpus

• PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (2017, methodology): “We compare our methods with previous state-of-the-art method [14] in Table 3.”