TransNet: Transparent Object Manipulation Through Category-Level Pose Estimation

no code implementations • 23 Jul 2023 • Huijie Zhang, Anthony Opipari, Xiaotong Chen, Jiyue Zhu, Zeren Yu, Odest Chadwicke Jenkins

TransNet is evaluated in terms of pose estimation accuracy on a large-scale transparent object dataset and compared to a state-of-the-art category-level pose estimation approach.

Depth Completion Object +3

TransNet: Category-Level Transparent Object Pose Estimation

no code implementations • 22 Aug 2022 • Huijie Zhang, Anthony Opipari, Xiaotong Chen, Jiyue Zhu, Zeren Yu, Odest Chadwicke Jenkins

TransNet is evaluated in terms of pose estimation accuracy on a recent, large-scale transparent object dataset and compared to a state-of-the-art category-level pose estimation approach.

Depth Completion Object +3

ClearPose: Large-scale Transparent Object Dataset and Benchmark

1 code implementation • 8 Mar 2022 • Xiaotong Chen, Huijie Zhang, Zeren Yu, Anthony Opipari, Odest Chadwicke Jenkins

Transparent objects are ubiquitous in household settings and pose distinct challenges for visual sensing and perception systems.

Benchmarking Depth Completion +3

Pull Message Passing for Nonparametric Belief Propagation

no code implementations • 27 Jul 2018 • Karthik Desingh, Anthony Opipari, Odest Chadwicke Jenkins

In contrast, we propose a "pull" method, as the Pull Message Passing for Nonparametric Belief propagation (PMPNBP) algorithm, and demonstrate its viability for efficient inference.