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Martin Krucek

dblp:276/2869 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
3D vision · 61% Segmentation and scene understanding · 39%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
point cloud processing
0.912025
ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds · ICCV 2025
Computer vision › 3D vision › point cloud segmentation
point cloud semantic segmentation
0.912025
ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds · ICCV 2025
Computer vision › Segmentation and scene understanding
semantic segmentation
0.912025
ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds · ICCV 2025
Computer vision › Segmentation and scene understanding › image segmentation › deep learning segmentation
end-to-end segmentation
0.312025
ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds · ICCV 2025

Methods — techniques the papers use, named apart from their topics

transformer · 0.9
YearPublicationVenuePosition
2025 ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds
Binbin Xiang, Maciej Wielgosz, Stefano Puliti, Kamil Král, Martin Krucek, Azim Missarov, Rasmus Astrup
ICCV5