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Cyrill Stachniss

21 papers · 2005–2026 · 6 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (20) πŸ—ΊοΈ Taxonomy Completionist (33)
πŸ—ΊοΈ Taxonomy Completionist (33) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution 🀝 Dynamic Duo (14) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (101) πŸ”₯ Unstoppable (8) πŸš€ Conference Pioneer πŸ’Ž Century Club (20)

Conferences

RSS (10) CVPR (5) ICCV (2) WACV (2) AAAI (1) CORL (1)

Papers

Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds (Abstract Reprint) AAAI 2026 Epipolar Attention Field Transformers for Bird's Eye View Semantic Segmentation WACV 2025 Tree Skeletonization from 3D Point Clouds by Denoising Diffusion ICCV 2025 PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map RSS 2025 Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion CVPR 2024 3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation CVPR 2024 Open-World Semantic Segmentation Including Class Similarity CVPR 2024 ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes RSS 2023 Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving CVPR 2023 In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation WACV 2022 Learning Mixed Strategies in Trajectory Games RSS 2022 Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks CORL 2021 4D Panoptic LiDAR Segmentation CVPR 2021 Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations RSS 2021 OverlapNet: Loop Closing for LiDAR-based SLAM RSS 2020 SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences ICCV 2019 Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments RSS 2018 Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction RSS 2012 Gas Distribution Modeling using Sparse Gaussian Process Mixture Models RSS 2008 A Tree Parameterization for Efficiently Computing Maximum Likelihood Maps using Gradient Descent RSS 2007 Information Gain-based Exploration Using Rao-Blackwellized Particle Filters RSS 2005