Harnessing Lab Knowledge for Real-World Action Recognition

By Zhigang Ma, Yi Yang, Feiping Nie, Nicu Sebe, Shuicheng Yan, Alexander G. Hauptmann. 2014

68 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biomedical 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 Artificial Intelligence

1. Yi Yang
2. Xiaojun Chang
3. Alexander G. Hauptmann
4. Feiping Nie
5. Zhigang Ma
6. Trevor Darrell
7. Kate Saenko
8. Chuang Gan

In Biomedical Engineering

1. Feiping Nie
2. Yi Yang
3. Alexander G. Hauptmann

In Computer Vision and Pattern Recognition

1. Yi Yang
2. Xiaojun Chang
3. Alexander G. Hauptmann
4. Feiping Nie
5. Dacheng Tao
6. Luc Van Gool
7. Trevor Darrell
8. Xiaogang Wang

Citations in the corpus

• Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization (2015, methodology): “5.5 Complex Event Detection In this subsection, we compare the different active learning algorithms on complex event detection (Ma et al. 2014; Yang et al. 2013).”
• Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks (2019, unknown): “Two multi-task classifiers are used to obtain a more robust classifier for object detection in videos (Ma et al., 2014).”