119 citations · 148 across the 6 of their papers we have counts for
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cs.CV2025★ 1 cited
ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds
Binbin Xiang, Maciej Wielgosz, Stefano Puliti +4
The segmentation of forest LiDAR 3D point clouds, including both individual tree and semantic segmentation, is fundamental for advancing forest management and ecological research.…
cs.CV2025
Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification
Maciej Wielgosz, Simon Berg, Heikki Korpunen +1
This paper presents a deep learning-based framework for classifying forestry operations from dashcam video footage. Focusing on four key work elements - crane-out, cutting-and-to-p…