Anthony Opipari


PhD Candidate, University of Michigan

I’m a graduate student in Computer Science and Engineering at the University of Michigan, advised by Professor Chad Jenkins. My research interests are in advanced computing topics and especially those that make connections between nondeterminstic computing, probabilistic inference and perception for robotics.

I’m proud to be supported by the Qualcomm Innovation Fellowship. Previously I earned my BSE (2014-2018) and MSE (2019-2020) in computer science at the University of Michigan. Between degree programs, I worked on applied machine learning research projects at MIT Lincoln Laboratory.


Journal Articles

Peer-Reviewed Conference Proceedings

Workshop Papers


TransNet: Category-Level Transparent Object Pose Estimation.
Huijie Zhang, Anthony Opipari, Xiaotong Chen, Jiyue Zhu, Zeren Yu, Odest Chadwicke Jenkins. 7th International Workshop on Recovering 6D Object Pose (ECVA ECCV). 2022.

Preprint Papers