Mining And-Or Graphs for Graph Matching and Object Discovery

By Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu. 2015

18 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Song-Chun Zhu
2. Quanshi Zhang
3. Ying Nian Wu
4. Ruiming Cao
5. Alan L. Yuille
6. Erik Nijkamp
7. Luc Van Gool
8. Jianwen Xie

In Signal Processing

1. Song-Chun Zhu
2. Ying Nian Wu
3. Ruiming Cao
4. Quanshi Zhang
5. Jianwen Xie
6. Yang Lu
7. Myle Ott
8. Arthur Szlam

Citations in the corpus

• Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning (2016, background): “Typical research includes end-to-end fine-tuning and transferring CNN knowledge between different categories (Yosinski et al. 2014; Gallagher, Tang, and Tu 2015) and/or datasets (Ganin and Lempitsky 2015).”
• Mining Object Parts from CNNs via Active Question-Answering (2017, background): “Methods of [5, 36, 47, 31] learned with image-level annotations without labeling object bounding boxes.”