4 papers
SelectAnyTree: A Promptable Instance Segmentation Model for 3D Forest LiDAR Point Clouds
Trung Thanh Nguyen, Daniel Lusk, Kilian Gerberding +10
Automated instance segmentation of forest LiDAR point clouds is increasingly critical as forest monitoring moves toward scalable, detailed, 3D measurement. Yet, progress is constra…
ForestMamba: Sparse Mamba with Geometry-guided Queries for 3D Forest Point Cloud Segmentation
Trung Thanh Nguyen, Tuan-Anh Vu, Duc Viet Le +4
Semantic and instance segmentation of terrestrial and drone LiDAR point clouds is emerging as a transformative approach for converting the complex 3D structure of forests into acti…
TwinLiteNet+: An Enhanced Multi-Task Segmentation Model for Autonomous Driving
Quang-Huy Che, Duc-Tri Le, Minh-Quan Pham +2
Semantic segmentation is a fundamental perception task in autonomous driving, particularly for identifying drivable areas and lane markings to enable safe navigation. However, most…
Enhanced Generative Data Augmentation for Semantic Segmentation via Stronger Guidance
Quang-Huy Che, Duc-Tri Le, Bich-Nga Pham +2
Data augmentation is crucial for pixel-wise annotation tasks like semantic segmentation, where labeling requires significant effort and intensive labor. Traditional methods, involv…