Local structure preserving discriminative projections for RGB-D sensor-based scene classification

By Dapeng Tao, Jun Cheng, Xu Lin, Jiang Yu. 2015

28 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

How researchers see this paper

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

In Aerospace Engineering

1. Shuicheng Yan
2. Ling Shao
3. Qi Tian
4. Luoqi Liu
5. Jungong Han
6. Ziyun Cai
7. Li Liu
8. Meng Wang

In Computer Vision and Pattern Recognition

1. Ling Shao
2. Qi Tian
3. Yi Yang
4. Dacheng Tao
5. Shuicheng Yan
6. Alan L. Yuille
7. Meng Wang
8. Luc Van Gool

Citations in the corpus

• RGB-D datasets using microsoft kinect or similar sensors: a survey (2016, background): “Meanwhile, it has been proved that combining RGB and depth information in high-level tasks (i.e., image/video classification) can dramatically improve the classification accuracy [94, 95].”
• Understanding Blooming Human Groups in Social Networks (2015, background): “studied the multi-view learning [18] [19] and scene classification [20].”