3 papers
cs.CV2024
Improved Block Merging for 3D Point Cloud Instance Segmentation
Leon Denis, Remco Royen, Adrian Munteanu
This paper proposes a novel block merging algorithm suitable for any block-based 3D instance segmentation technique. The proposed work improves over the state-of-the-art by allowin…
cs.CV2024
RESSCAL3D: Resolution Scalable 3D Semantic Segmentation of Point Clouds
Remco Royen, Adrian Munteanu
While deep learning-based methods have demonstrated outstanding results in numerous domains, some important functionalities are missing. Resolution scalability is one of them. In t…
cs.CV2024
ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers
Ioannis Romanelis, Vlassis Fotis, Konstantinos Moustakas +1
In this paper we delve into the properties of transformers, attained through self-supervision, in the point cloud domain. Specifically, we evaluate the effectiveness of Masked Auto…