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Tobias Feigl

Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification

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Oct 21, 2024
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Radio Foundation Models: Pre-training Transformers for 5G-based Indoor Localization

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Oct 01, 2024
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Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning

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May 17, 2024
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Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data

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Feb 09, 2024
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Velocity-Based Channel Charting with Spatial Distribution Map Matching

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Nov 14, 2023
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Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach

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Oct 07, 2022
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Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression

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Aug 01, 2022
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Towards Realistic Statistical Channel Models For Positioning: Evaluating the Impact of Early Clusters

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Jul 16, 2022
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Complementary Semi-Deterministic Clusters for Realistic Statistical Channel Models for Positioning

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Jul 16, 2022
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Position Tracking using Likelihood Modeling of Channel Features with Gaussian Processes

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Mar 24, 2022
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