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Zikai Wang

6 accepted papers

2026

ArtHOI: Taming Foundation Models for Monocular 4D Reconstruction of Hand-Articulated-Object Interactions

CVPR 2026

Existing hand-object interactions (HOI) methods are largely limited to rigid objects, while 4D reconstruction methods of articulated objects generally require pre-scanning the object or even multi-view videos. It remains an unexplored but significant challenge to reconstruct 4D human-articulated-obj

Cited by 0SourcecodeScholar
2025

MAC-Planner: A Novel Task Allocation and Path Planning Framework for Multi-Robot Online Coverage Processes

RA-L 2025

This paper presents a unified framework called MAC-Planner that combines Multi-Robot Task Allocation with Coverage Path Planning to better solve the online multi-robot coverage path planning (MCPP) problem. By dynamically assigning tasks and planning coverage paths based on the system's real-time co

Cited by 12SourceScholar
2024

APF-CPP: An Artificial Potential Field Based Multi-Robot Online Coverage Path Planning Approach

RA-L 2024

Multi-robot coverage planning has gained significant attention in recent years. In this letter, we introduce a novel approach called APF-CPP (Artificial Potential Field Based Multi-Robot Online Coverage Path Planning) to enhance the collaboration of multi-robot systems to accomplish coverage tasks i

Cited by 31SourceScholar
2024

Ellipse Detection Based On Structure-Preserving Anisotropic Edge Extraction

ICASSP 2024accepted

Existing methods for ellipse detection popularly adopt the edge-linking strategy—i.e., first combining the elliptical arcs extracted from an edge map into groups and then fitting each group of arcs to an ellipse. However, such methods generally use the Canny operator to extract edges, which tends to…

Cited by 0SourceScholar
2022

CDX-NET: Cross-Domain Multi-Feature Fusion Modeling Via Deep Neural Networks for Multivariate Time Series Forecasting in AIOps

ICASSP 2022accepted

In the application of Artificial Intelligence for IT Operations (AIOps), monitoring data are usually modeled as MTS (Multivariate Time Series). The prediction of MTS has been widely studied and various models, including statistic algorithms and deep learning networks, have been proposed, which attem…

Cited by 0SourceScholar