Deep tracking in the wild: End-to-end tracking using recurrent neural networks

By Julie Dequaire, Peter Ondruska, Dushyant Rao, Dominic Zeng Wang, Ingmar Posner. 2018

112 citations recorded by the source corpus.

Subfields: Automotive Engineering, Building and Construction, 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 Automotive Engineering

1. Jiajun Wu
2. Chen Sun
3. Josh Tenenbaum

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Jitendra Malik
3. Cordelia Schmid
4. Andrea Vedaldi
5. Ming-Hsuan Yang
6. Trevor Darrell
7. Jiajun Wu
8. Andrew Zisserman

Citations in the corpus

• Stochastic Prediction of Multi-Agent Interactions from Partial Observations (2019, methodology): “Our method is related to the “deep tracking” approach of (Dequaire et al., 2018).”