Anthony Opipari

I’m a graduate student in Computer Science and Engineering at the University of Michigan, advised by Professor Chad Jenkins. 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 at MIT Lincoln Laboratory under the direction of Dr. Jason Thornton and Dr. Pedro Torres-Carrasquillo. I’m proud to be a recipient of the Qualcomm Innovation Fellowship. This past summer (2023), I was fortunate to work as an Applied Scientist Intern at Amazon Lab126 under the direction of Dr. Aravindhan Krishnan, Dr. Shreekant Gayaka, and Professor Min Sun.


Publications

Journal Articles

J2

DNBP: Differentiable Nonparametric Belief Propagation.
Anthony Opipari, Jana Pavlasek, Chao Chen, Shoutian Wang, Karthik Desingh, Odest Chadwicke Jenkins.
ACM / IMS Journal of Data Science. 2024.

J1

Efficient Nonparametric Belief Propagation for Pose Estimation and Manipulation of Articulated Objects.
Karthik Desingh, Shiyang Lu, Anthony Opipari, Odest Chadwicke Jenkins.
Science Robotics. 2019.

Peer-Reviewed Conference Proceedings

C4

A Reconfigurable Hardware Library for Robot Scene Perception.
Yanqi Liu, Anthony Opipari, Odest Chadwicke Jenkins, Ruth Iris Bahar.
IEEE / ACM International Conference on Computer-Aided Design. 2022.

C3

ClearPose: Large-scale Transparent Object Dataset and Benchmark.
Xiaotong Chen, Huijie Zhang, Zeren Yu, Anthony Opipari, Odest Chadwicke Jenkins.
ECVA European Conference on Computer Vision. 2022.

C2

Hardware Acceleration of Nonparametric Belief Propagation for Efficient Robot Manipulation.
Yanqi Liu, Anthony Opipari, Theo Guerin, Ruth Iris Bahar.
ACM / SIGDA International Symposium on Field-Programmable Gate Arrays. 2022.

C1

Factored Pose Estimation of Articulated Objects using Efficient Nonparametric Belief Propagation.
Karthik Desingh, Shiyang Lu, Anthony Opipari, Odest Chadwicke Jenkins.
IEEE International Conference on Robotics and Automation. 2019.

Workshop Papers

W5

Visual Robot Pose Tracking through Counter-Hypothetical Nonparametric Belief Propagation.
Elizabeth Olson, J. Arden Knoll, Anthony Opipari, Grant Gibson, Odest Chadwicke Jenkins.
Distributed Graph Algorithms for Robotics (IEEE ICRA). 2023.

W4

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.

W3

NeRF-Frenemy: Co-Opting Adversarial Learning for Autonomy-Directed Co-Design.
Stanley Lewis, Bahaa Aldeeb, Anthony Opipari, Elizabeth Olson, Cameron Kisailus, Odest Chadwicke Jenkins.
Implicit Representations for Robotic Manipulation (RSS). 2022.

W2

Differentiable Nonparametric Belief Propagation.
Anthony Opipari, Jana Pavlasek, Chao Chen, Shoutian Wang, Karthik Desingh, Odest Chadwicke Jenkins.
Robotic Perception and Mapping: Emerging Techniques (IEEE ICRA). 2022.

W1

Analysis of Goal-Directed Manipulation in Clutter using Scene Graph Belief Propagation.
Karthik Desingh, Anthony Opipari, Odest Chadwicke Jenkins.
Multimodal Robot Perception (IEEE ICRA). 2018.

Patents

P1

Systems and Methods for Detection of Concealed Threats.
Marianne DeAngelus, Justin Goodwin, Neela Kaushik, Anthony Opipari, Taylor Killian.
United States Patent and Trademark Office: US-20220334243-A1. 2022.


Industry

09/23
05/23
Applied Scientist Intern
08/21
01/21
Associate Staff
07/19
06/18
Assistant Staff
12/17
09/17
Software Engineering Intern
07/17
05/17
Software Engineering Intern

Consulting

Present
01/24
Economics Study on Bias in Hiring

Organizing


Teaching

Winter 2024
Secondary Instructor
Winter 2023
Instructor of Record
Winter 2022
Instructor of Record
Fall 2021
Grad. Student Instructor
Fall 2019
Grad. Student Instructor