Matthew Tucsok — accepted AI-conference papers

2024

Bag of Views: An Appearance-Based Approach to Next-Best-View Planning for 3D Reconstruction

Sara Hatami Gazani, Matthew Tucsok, Iraj Mantegh, Homayoun Najjaran

RA-L 2024

UAV-based intelligent data acquisition for 3D reconstruction and monitoring of infrastructure has experienced an increasing surge of interest due to recent advancements in image processing and deep learning-based techniques. View planning is an essential part of this task that dictates the informati

Cited by 11 Source ↗code ↗Scholar ↗

2021

Evaluating Initialization Methods for Discriminative and Fast-Converging HGMM Point Clouds

Haohan Lin, Xuzhan Chen, Matthew Tucsok, Li Ji, Homayoun Najjaran

ICRA 2021poster

Discriminative data representations for point cloud data are critical for computer vision applications. Recently, the Hierarchical Gaussian Mixture Model (HGMM) has become a popular representation due to its compactness and real-time execution. However, HGMM still lacks a well-designed and robust in…

Cited by 1 Source ↗Scholar ↗