Patrick Mader

5 papers · 2021–2024 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14)

Venues

WACV (4) CVPR (1)

Top co-authors

Stefan Milz (4) Kai Fischer (3) Martin Simon (3) Daniel Scheliga (1) Florian Olsner (1) Horst-Michael Gross (1) Tim Fingscheidt (1) Varun Ravi Kumar (1) Marco Seeland (1) Senthil Yogamani (1)

Research topics

Artificial Intelligence (3) Computer Vision (3) Deep Learning (3) Machine Learning (3) Analysis (3) Architectures (2) Core AI (2) Domain-Specific (2) Learning Types · Machine Learning (2) Application Areas (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Processing (1)

Keywords

autonomous driving (2) pose estimation (2) point cloud registration (2) graph neural network (2) self-supervised learning (1) attention mechanism (1) feature matching (1) point cloud (1) depth estimation (1) 3d vision (1) monocular depth estimation (1) privacy preserving (1) distance estimation (1) gradient leakage (1) lidar odometry (1) fisheye camera (1) model extension (1) variational modeling (1) federated learning (1) 3d feature matching (1)

Papers

MagneticPillars: Efficient Point Cloud Registration Through Hierarchized Birds-Eye-View Cell Correspondence Refinement WACV 2024 PRECODE - A Generic Model Extension To Prevent Deep Gradient Leakage WACV 2022 StickyLocalization: Robust End-to-End Relocalization on Point Clouds Using Graph Neural Networks WACV 2022 StickyPillars: Robust and Efficient Feature Matching on Point Clouds Using Graph Neural Networks CVPR 2021 SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized With Semantic Segmentation for Autonomous Driving WACV 2021