activity
20222024
most citedDeepFormableTag: End-to-end Generation and Recognition of Deformable Fiducial Markers

15 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees

Hakyeong Kim, Andreas Meuleman, Hyeonjoong Jang +2

We present a method to reconstruct indoor and outdoor static scene geometry and appearance from an omnidirectional video moving in a small circular sweep. This setting is challengi…

cs.CV2023★ 3 cited

Progressively Optimized Local Radiance Fields for Robust View Synthesis

Andreas Meuleman, Yu-Lun Liu, Chen Gao +4

We present an algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video. The task poses two core challenges. First, most existing…

cs.CV2023★ 1 cited

Robust Dynamic Radiance Fields

Yu-Lun Liu, Chen Gao, Andreas Meuleman +6

Dynamic radiance field reconstruction methods aim to model the time-varying structure and appearance of a dynamic scene. Existing methods, however, assume that accurate camera pose…

math.AP2022

Asymptotic behaviors of a kinetic approach to the collective dynamics of a rock-paper-scissors binary game

Hugo Martin

This article studies the kinetic dynamics of the rock-paper-scissors binary game in a measure setting given by a non local and non linear integrodifferential equation. After provin…

cs.CV2022★ 15 cited

DeepFormableTag: End-to-end Generation and Recognition of Deformable Fiducial Markers

Mustafa B. Yaldiz, Andreas Meuleman, Hyeonjoong Jang +2

Fiducial markers have been broadly used to identify objects or embed messages that can be detected by a camera. Primarily, existing detection methods assume that markers are printe…