Postdoctoral researcher at @ecovision-uzh. Machine learning for environmental applications.
superpoint_transformer. Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]
1kDeepViewAgg. [CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"
237point_geometric_features. Python wrapper around C++ utilities for computing neighbors and local geometric features of a point cloud
75nora. A python-populated Notion template to help you keep track of the papers you read 📜, their authors 👤, your notes 📝, and more 🔥
53torch-graph-components. Fast GPU graph components and partitioning algorithms for PyTorch
12torch-points3d. Pytorch framework for doing deep learning on point clouds.
3awesome-point-cloud-analysis-2023. A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
2Semantic-based-Point-Cloud-Tasks. This is an open-source repository for semantic based point cloud tasks, and we aim to provide a comprehensive summary of various semantic based point cloud tasks.
1awesome-computer-vision. A curated list of awesome computer vision resources
1pytorch-lightning. The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
1awesome-tips.
1claude_ping. Shell
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