Asynchronous Temporal Fields for Action Recognition

@article{Sigurdsson2017AsynchronousTF,
  title={Asynchronous Temporal Fields for Action Recognition},
  author={Gunnar A. Sigurdsson and Santosh Kumar Divvala and Ali Farhadi and Abhinav Gupta},
  journal={2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2017},
  pages={5650-5659}
}
Actions are more than just movements and trajectories: we cook to eat and we hold a cup to drink from it. A thorough understanding of videos requires going beyond appearance modeling and necessitates reasoning about the sequence of activities, as well as the higher-level constructs such as intentions. But how do we model and reason about these? We propose a fully-connected temporal CRF model for reasoning over various aspects of activities that includes objects, actions, and intentions, where… CONTINUE READING
Highly Cited
This paper has 41 citations. REVIEW CITATIONS
Related Discussions
This paper has been referenced on Twitter 11 times. VIEW TWEETS

Citations

Publications citing this paper.
Showing 1-10 of 30 extracted citations

Statistical Machine Learning vs Deep Learning in Information Fusion: Competition or Collaboration?

2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) • 2018
View 4 Excerpts
Highly Influenced

R-C3D: Region Convolutional 3D Network for Temporal Activity Detection

2017 IEEE International Conference on Computer Vision (ICCV) • 2017
View 4 Excerpts
Highly Influenced

Compressed Video Action Recognition

View 3 Excerpts
Highly Influenced

References

Publications referenced by this paper.
Showing 1-10 of 70 references

Action Recognition with Improved Trajectories

2013 IEEE International Conference on Computer Vision • 2013
View 4 Excerpts
Highly Influenced

Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos

International Journal of Computer Vision • 2017
View 2 Excerpts

Actions ~ Transformations

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2016
View 2 Excerpts

Anticipating Visual Representations from Unlabeled Video

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2016
View 1 Excerpt

End-to-End Learning of Action Detection from Frame Glimpses in Videos

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2016
View 1 Excerpt

Predicting Motivations of Actions by Leveraging Text

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2016
View 1 Excerpt

Situation Recognition: Visual Semantic Role Labeling for Image Understanding

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2016
View 2 Excerpts

Similar Papers

Loading similar papers…