Ph.D. Candidate, Robotics
University of Michigan-Ann Arbor
I am currently a Ph.D. candidate in the Corso Research Group at the University of Michigan. My research interests center around the interaction between human input and modern computer vision methods: can we tell if an inference is incorrect? If it is incorrect, can human input help? Given multiple pieces of human information, how do we combine them? and, of course, how do we evaluate our answers these questions?
Ground-Truth or DAER: Selective Re-query of Secondary Information
Lemmer, S. J., Corso, J. J.
Crowdsourcing More Effective Initializations for Single-Target Trackers Through Automatic Re-querying
Lemmer, S. J., Song, J. Y., Corso, J. J.
Popup: reconstructing 3D video using particle filtering to aggregate crowd responses.
Song, J. Y., Lemmer, S. J., Liu, M. X., Yan, S., Kim, J., Corso, J. J., & Lasecki, W. S.
Subtle Anomaly Detection in the Global Dynamics of Connected Vehicle Systems.
Sturgeon, P. K., Mott, C. M., Lemmer, S. J., Brown, M. A.
Proceedings of 2016 Intelligent Transport Systems Congress
Loosening the Reins: Decentralized Allocation of Resources and Tasks for Hetrogeneous Multi-Agent Systems.
Lemmer, S. J.
Proceedings of AUVSI XPONENTIAL 2016
Song, J. Y., Lemmer, S. J., Corso, J. J., Lasecki, W. S.
United States Patent Application, No. 2020/0,202,615 A1
Walker, J. D., Pomerening, D. J., Kozak, K. C., Mueshke, N. J., et al.,
United States Patent, No. 10,775,136 B2
Lemmer, S. J., Mott, C. M., Avery, P. A.
United States Patent, No. 10,432,729 B2
Lemmer, S. J., Chambers, D. R.
United States Patent, No. 10,235,629 B2
Lemmer, S. J.
United States Patent, No. 62,297,097