most citedGMKF: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2025

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise

Sangli Teng, Harry Zhang, David Jin +4

Designing optimal Bayes filters for nonlinear non-Gaussian systems is a challenging task. The main difficulties are: 1) representing complex beliefs, 2) handling non-Gaussian noise…

cs.CV2024

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation

Jingnan Shi, Rajat Talak, Harry Zhang +2

We consider the problem of estimating object pose and shape from an RGB-D image. Our first contribution is to introduce CRISP, a category-agnostic object pose and shape estimation…

cs.CV2024

Theoretical Analysis for Expectation-Maximization-Based Multi-Model 3D Registration

David Jin, Harry Zhang, Kai Chang

We perform detailed theoretical analysis of an expectation-maximization-based algorithm recently proposed in for solving a variation of the 3D registration problem, named multi-mod…

cs.RO2024★ 2 cited

GMKF: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise

Sangli Teng, Harry Zhang, David Jin +3

This paper develops a new filtering approach for state estimation in polynomial systems corrupted by arbitrary noise, which commonly arise in robotics. We first consider a batch se…

cs.RO2024

Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds

David Jin, Sushrut Karmalkar, Harry Zhang +1

We investigate a variation of the 3D registration problem, named multi-model 3D registration. In the multi-model registration problem, we are given two point clouds picturing a set…