Adviser Networks: Learning What Question to Ask for Human-In-The-Loop Viewpoint Estimation

By Mohamed El Banani and Jason J. Corso, University of Michigan

This is the code and data for the work presented in the arXiv tech report, Adviser Networks.

If you find this work useful in your research, please consider citing:

@ARTICLE{elbanani_adviser_2018,
    author = "El Banani, Mohamed and Corso, Jason J.",
    title = "Adviser Networks: Learning What Question to Ask for Human-In-The-Loop Viewpoint Estimation",
    journal = ArXiv e-prints,
    year = 2018,
    month = March,
}

If you have any questions, please email me at mbanani@umich.edu.

Acknowledgements

This work has been partially supported by DARPA W32P4Q-15-C-0070 (subcontract from SoarTech) and funds from the University of Michigan Mobility Transformation Center.