Evaluating New Variants of Motion Interchange Patterns

By Yair Hanani, Noga Levy, Lior Wolf. 2013

15 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. Luc Van Gool
2. Yu Qiao
3. Andrew Zisserman
4. Dacheng Tao
5. Jitendra Malik
6. Cordelia Schmid
7. Xiaogang Wang
8. Trevor Darrell

Citations in the corpus

• C3D: Generic Features for Video Analysis (2014, methodology): “Performance STIP [27] OSSML [28] MIP [26] MIP+STIP+MBH [16] iDT+FV [53] Random Chance Dataset .”
• A Critical Review of Action Recognition Benchmarks (2013, methodology): “ASLAN results obtained with this representation were reported in [17] using the code made available by the authors of Traj.”
• Learning Spatiotemporal Features with 3D Convolutional Networks (2014, methodology): “C3D Human Performance STIP [21] OSSML [22] MIP [20] MIP+STIP+MBH [11] iDT+FV [44] Imagenet Random Chance”
• Large Margin Dimensionality Reduction for Action Similarity Labeling (2014, methodology): “[11] employed the Cosine Similarity Metric Learning (CSML) [14] after performing a PCA dimension reduction on the BoW representation.”