Dual many-to-one-encoder-based transfer learning for cross-dataset human action recognition

By Tiantian Xu, Fan Zhu, Edward K. Wong, Yi Fang. 2016

36 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Representation & Self-Supervised Learning, Human-Computer Interaction

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. Zsolt Kira
2. Jian Zheng
3. Ruxin Chen
4. Min-Hung Chen
5. Jaekwon Yoo
6. Ghassan Al-Regib
7. Dima Damen
8. Jonathan Munro

In Computer Vision and Pattern Recognition

1. Ghassan Al-Regib
2. Zsolt Kira
3. Jian Zheng
4. Ruxin Chen
5. Min-Hung Chen
6. Jaekwon Yoo
7. Dima Damen
8. Jonathan Munro

In Representation & Self-Supervised Learning

1. Zsolt Kira
2. Jian Zheng
3. Ruxin Chen
4. Min-Hung Chen
5. Jaekwon Yoo
6. Ghassan Al-Regib
7. Dima Damen
8. Jonathan Munro

In Human-Computer Interaction

1. Ghassan Al-Regib

Citations in the corpus

• Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (2019, methodology): “[51] maps source and target features to a common feature space using shallow neural networks.”