Modeling Scene and Object Contexts for Human Action Retrieval With Few Examples

By Yu-Gang Jiang, Zhenguo Li, Shih-Fu Chang. 2011

32 citations recorded by the source corpus.

Subfields: 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 Computer Vision and Pattern Recognition

1. Hema Swetha Koppula
2. Ashutosh Saxena
3. Rudhir Gupta
4. Silvio Savarese
5. Luc Van Gool
6. Abhinav Kumar Gupta
7. Kristen Grauman
8. Jitendra Malik

Citations in the corpus

• Learning human activities and object affordances from RGB-D videos (2012, background): “Some recent works (Gupta et al., 2009; Yao and Fei-Fei, 2010; Aksoy et al., 2010; Jiang et al., 2011a; Pirsiavash and Ramanan, 2012) show that modeling the interaction between human poses and objects in 2D videos results in a better performance on the tasks of object detection and activity recogniti”
• Human Activity Learning using Object Affordances from RGB-D Videos (2012, background): “Some recent works [1, 2, 18, 19, 16] show that modeling the interaction between human poses and objects in 2D videos results in a better performance on the tasks of object detection and activity recognition.”
• Prediction of Human Activity by Discovering Temporal Sequence Patterns (2014, unknown): “Index Terms—Activity prediction, causality, context-cue, predictability Ç”