Cyrill Stachniss

22 papers · 2005–2026 · 6 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🤝 Dynamic Duo (16) 🔬 Deep Specialist (11) 🧬 Topic Evolution 🧭 Keyword Pioneer 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🚀 Conference Pioneer 🗃️ Keyword Collector (106) 📈 Trend Setter

Venues

RSS (10) CVPR (6) ICCV (2) WACV (2) AAAI (1) CoRL (1)

Top co-authors

Jens Behley (16) Lucas Nunes (5) Xieyuanli Chen (4) Benedikt Mersch (4) Wolfram Burgard (3) Federico Magistri (3) Rodrigo Marcuzzi (3) Xingguang Zhong (3) Giorgio Grisetti (2) Matteo Sodano (2)

Research topics

Computer Vision (15) Analysis (15) Domain-Specific (12) Artificial Intelligence (10) Deep Learning (9) Machine Learning (7) Core AI (7) Architectures (5) Learning Types · Machine Learning (4) Learning Types · Deep Learning (3) Bayesian & Probabilistic (2) Models (2) Processing (2) Reinforcement Learning (1) Robotics (1)

Keywords

point cloud (5) autonomous driving (4) instance segmentation (4) semantic segmentation (4) simultaneous localization and mapping (3) scene reconstruction (2) range image (2) point cloud processing (2) temporal consistency (2) 3d mapping (2) 3d point cloud (2) lidar point cloud (2) anomaly detection (1) self-supervised learning (1) point cloud registration (1) dirichlet process (1) zero-shot learning (1) nonparametric bayesian models (1) gaussian splatting (1) scene understanding (1)

Papers

Dynamic Visual SLAM using a General 3D Prior CVPR 2026 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 PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map RSS 2025 Tree Skeletonization from 3D Point Clouds by Denoising Diffusion ICCV 2025 3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation CVPR 2024 Open-World Semantic Segmentation Including Class Similarity CVPR 2024 Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion 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 4D Panoptic LiDAR Segmentation CVPR 2021 Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations RSS 2021 Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks CoRL 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