Search Results for author:
Found 7 papers, 6 papers with code
Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning
Detailed forest inventories are critical for sustainable and flexible management of forest resources, to conserve various ecosystem services.
Towards accurate instance segmentation in large-scale LiDAR point clouds
Panoptic segmentation is the combination of semantic and instance segmentation: assign the points in a 3D point cloud to semantic categories and partition them into distinct object instances.
A Review of Panoptic Segmentation for Mobile Mapping Point Clouds
Moreover, a modular pipeline is set up to perform comprehensive, systematic experiments to assess the state of panoptic segmentation in the context of street mapping.
Ranked #2 on
Panoptic Segmentation
on S3DIS Area5
BiasBed - Rigorous Texture Bias Evaluation
With the release of BiasBed, we hope to foster a common understanding of consistent and meaningful comparisons, and consequently faster progress towards learning methods free of texture bias.
TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation
Probabilistic denoising diffusion models (DDMs) have set a new standard for 2D image generation.
BiasBed -- Rigorous Texture Bias Evaluation
With the release of BiasBed, we hope to foster a common understanding of consistent and meaningful comparisons, and consequently faster progress towards learning methods free of texture bias.
Statistical learning for change point and anomaly detection in graphs
Complex systems which can be represented in the form of static and dynamic graphs arise in different fields, e. g. communication, engineering and industry.
