Projects

Here is a list of the GitHub projects from the papers I’ve co-authored:

• 3DiSS: Towards Generating Realistic 3D Semantic Training Data for Autonomous Driving
• SfmPanOcc: Vision-Based Panoptic Occupancy Prediction in Urban Environments
• DiffTS: Tree Skeletonization from 3D Point Clouds by Denoising Diffusion
• WaW: Zero-Shot Semantic Segmentation for Robots in Agriculture
• SfmOcc: Vision-Based 3D Semantic Occupancy Prediction in Urban Environments
• ContMAV: Open-World Semantic Segmentation Including Class Similarity
• LiDiff: Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion
• Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences
• TARL: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving
• MaskPLS: Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving
• KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition
• 3DUIS: Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles
• 4DMOS: Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions
• Auto-MOS: Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation
• SegContrast: 3D Point Cloud Feature Representation Learning through Self-supervised Segment Discrimination