Tobias Feigl - RankMe

61 papers A* 3B 4C 13Misc 1Journal 23Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	AI-Augmented Digital Twin Framework for Scalable 5G/6G Network Densification. IPIN Jakob Schubert, George Yammine, Piotr Karbownik, Andrea Maestri, Nisha George, Maximilian Stahlke, Tobias Feigl, Christopher Mutschler, Dominik Seuß
2025	J	`jnl`	Attention-Based Fusion of IQ and FFT Spectrograms with AoA Features for GNSS Jammer Localization. CoRR Lucas Heublein, Christian Wielenberg, Thorsten Nowak, Tobias Feigl, Christopher Mutschler, Felix Ott
2025	J	`jnl`	Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning. Trans. Mach. Learn. Res. Nisha Lakshmana Raichur, Lucas Heublein, Tobias Feigl, Alexander Rügamer, Christopher Mutschler, Felix Ott
2025	C	`conf`	Definition of a Neural Network for an IR Positioning System based on Energy Measurements. IPIN David Moltó, Elena Aparicio-Esteve, Álvaro Hernández, Tobias Feigl, Christopher Mutschler, Jesús Ureña
2025	—	`conf`	Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization. ICL-GNSS Lucas Heublein, Tobias Feigl, Thorsten Nowak, Alexander Rügamer, Christopher Mutschler, Felix Ott
2025	J	`jnl`	Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies. CoRR Lucas Heublein, Nisha Lakshmana Raichur, Tobias Feigl, Tobias Brieger, Fin Heuer, Lennart Asbach, Alexander Rügamer, Felix Ott
2025	—	`conf`	Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformers. PLANS Lukas Schelenz, Shobha Rajanna, Denis Gosalci, Lucas Heublein, Jonas Pirkl, Jonathan Ott, Felix Ott, Christopher Mutschler, Tobias Feigl
2025	B	`conf`	Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification. NOMS Nishant S. Gaikwad, Lucas Heublein, Nisha Lakshmana Raichur, Tobias Feigl, Christopher Mutschler, Felix Ott
2025	J	`jnl`	GNSS Jammer Direction Finding in Dynamic Scenarios Using an Inertial-based Multi-Antenna System. CoRR Lucas Heublein, Thorsten Nowak, Tobias Feigl, Jaspar Pahl, Felix Ott
2025	—	`conf`	GenAI for Energy-Efficient and Interference-Aware Compressed Sensing of GNSS Signals on a Google Edge TPU. PLANS Thorben Wegner, Lucas Heublein, Tobias Feigl, Felix Ott, Christopher Mutschler, Alexander Rügamer
2025	B	`conf`	Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization. WCNC Harshith Manjunath, Lucas Heublein, Tobias Feigl, Felix Ott
2025	J	`jnl`	Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization. CoRR Harshith Manjunath, Lucas Heublein, Tobias Feigl, Felix Ott
2025	—	`conf`	PDRNN: Modular Data-driven Pedestrian Dead Reckoning on Loosely Coupled Radio- and Inertial-Signalstreams. PLANS Peter Bauer, Andreas Porada, Felix Ott, Christopher Mutschler, Tobias Feigl
2025	C	`conf`	Passive Channel Charting: Locating Passive Targets using a UWB Mesh. IPIN Raffael Poeggel, Maximilian Stahlke, Jonas Pirkl, Jonathan Ott, George Yammine, Tobias Feigl, Christopher Mutschler
2025	—	`conf`	Resilient Channel Charting Under Varying Radio Link Availability. IEEECONF Jonas Pirkl, Jonathan Ott, Maximilian Stahlke, George Yammine, Tobias Feigl, Christopher Mutschler
2025	J	`jnl`	Simplicity is Key: An Unsupervised Pretraining Approach for Sparse Radio Channels. CoRR Jonathan Ott, Maximilian Stahlke, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler
2025	J	`jnl`	VAE-based Feature Disentanglement for Data Augmentation and Compression in Generalized GNSS Interference Classification. CoRR Lucas Heublein, Simon Kocher, Tobias Feigl, Alexander Rügamer, Christopher Mutschler, Felix Ott
2025	—	`conf`	Vae-Based Feature Disentanglement for Data Augmentation and Compression in Generalized Gnss Interference Classification. ICL-GNSS Lucas Heublein, Simon Kocher, Tobias Feigl, Alexander Rügamer, Christopher Mutschler, Felix Ott
2024	J	`jnl`	Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling. CoRR Lucas Heublein, Tobias Feigl, Alexander Rügamer, Felix Ott
2024	J	`jnl`	Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning. CoRR Nisha Lakshmana Raichur, Lucas Heublein, Tobias Feigl, Alexander Rügamer, Christopher Mutschler, Felix Ott
2024	J	`jnl`	Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization. CoRR Lucas Heublein, Tobias Feigl, Thorsten Nowak, Alexander Rügamer, Christopher Mutschler, Felix Ott
2024	J	`jnl`	Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification. CoRR Saurabh Sampatrao Gaikwad, Lucas Heublein, Nisha Lakshmana Raichur, Tobias Feigl, Christopher Mutschler, Felix Ott
2024	—	`conf`	Few-Shot Learning with Uncertainty-Based Quadruplet Selection for Interference Classification in GNSS Data. ICL-GNSS Felix Ott, Lucas Heublein, Nisha Lakshmana Raichur, Tobias Feigl, Jonathan Hansen, Alexander Rügamer, Christopher Mutschler
2024	J	`jnl`	Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data. CoRR Felix Ott, Lucas Heublein, Nisha Lakshmana Raichur, Tobias Feigl, Jonathan Hansen, Alexander Rügamer, Christopher Mutschler
2024	C	`conf`	Non-Line-of-Sight Detection for Radio Localization using Deep State Space Models. IPIN Leon Brasseler, Maximilian Stahlke, Thomas Altstidl, Tobias Feigl, Christopher Mutschler
2024	J	`jnl`	Optimal Machine Learning and Signal Processing Synergies for Low-Resource GNSS Interference Classification. IEEE Trans. Aerosp. Electron. Syst. Johannes Rossouw van der Merwe, David Contreras Franco, Tobias Feigl, Alexander Rügamer
2024	C	`conf`	Radio Foundation Models: Pre-training Transformers for 5G-based Indoor Localization. IPIN Jonathan Ott, Jonas Pirkl, Maximilian Stahlke, Tobias Feigl, Christopher Mutschler
2024	J	`jnl`	Radio Foundation Models: Pre-training Transformers for 5G-based Indoor Localization. CoRR Jonathan Ott, Jonas Pirkl, Maximilian Stahlke, Tobias Feigl, Christopher Mutschler
2023	J	`jnl`	Low-Cost COTS GNSS Interference Monitoring, Detection, and Classification System. Sensors Johannes Rossouw van der Merwe, David Contreras Franco, Jonathan Hansen, Tobias Brieger, Tobias Feigl, Felix Ott, Dorsaf Jdidi, Alexander Rügamer, Wolfgang Felber
2023	C	`conf`	Multipath Delay Estimation in Complex Environments using Transformer. IPIN Jonathan Ott, Maximilian Stahlke, Sebastian Kram, Tobias Feigl, Christopher Mutschler
2023	C	`conf`	Uncertainty-based Fingerprinting Model Selection for Radio Localization. IPIN Maximilian Stahlke, Tobias Feigl, Sebastian Kram, Bjoern M. Eskofier, Christopher Mutschler
2023	J	`jnl`	Velocity-Based Channel Charting with Spatial Distribution Map Matching. CoRR Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler
2022	J	`jnl`	Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression. CoRR Felix Ott, Nisha Lakshmana Raichur, David Rügamer, Tobias Feigl, Heiko Neumann, Bernd Bischl, Christopher Mutschler
2022	B	`conf`	Delay Estimation in Dense Multipath Environments using Time Series Segmentation. WCNC Sebastian Kram, Christopher Kraus, Maximilian Stahlke, Tobias Feigl, Jörn Thielecke, Christopher Mutschler
2022	J	`jnl`	Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach. CoRR Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler
2022	—	`conf`	Low-cost COTS GNSS interference detection and classification platform: Initial results. ICL-GNSS Johannes Rossouw van der Merwe, David Contreras Franco, Dorsaf Jdidi, Tobias Feigl, Alexander Rügamer, Wolfgang Felber
2022	J	`jnl`	Position Tracking using Likelihood Modeling of Channel Features with Gaussian Processes. CoRR Sebastian Kram, Christopher Kraus, Tobias Feigl, Maximilian Stahlke, Jörg Robert, Christopher Mutschler
2022	—	`conf`	Transfer Learning to adapt 5G AI-based Fingerprint Localization across Environments. VTC Spring Maximilian Stahlke, Tobias Feigl, Mario Hernán Castañeda García, Richard A. Stirling-Gallacher, Jochen Seitz, Christopher Mutschler
2021	C	`conf`	Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning. IPIN Thomas Altstidl, Sebastian Kram, Oskar Herrmann, Maximilian Stahlke, Tobias Feigl, Christopher Mutschler
2021	C	`conf`	Contact Tracing with the Exposure Notification Framework in the German Corona-Warn-App. IPIN Steffen Meyer, Thomas Windisch, Adrian Perl, Daniel Dzibela, Robert Marzilger, Nicolas Witt, Justus Benzler, Göran Kirchner, Tobias Feigl, Christopher Mutschler
2021	—	`—`	Datengetriebene Methoden zur Bestimmung von Position und Orientierung in funk- und trägheitsbasierter Koppelnavigation. Tobias Feigl
2021	C	`conf`	Robust ToA-Estimation using Convolutional Neural Networks on Randomized Channel Models. IPIN Tobias Feigl, Ernst Eberlein, Sebastian Kram, Christopher Mutschler
2020	—	`conf`	A Sense of Quality for Augmented Reality Assisted Process Guidance. ISMAR Adjunct Anes Redzepagic, Christoffer Löffler, Tobias Feigl, Christopher Mutschler
2020	Misc	`conf`	Localization Limitations of ARCore, ARKit, and Hololens in Dynamic Large-scale Industry Environments. VISIGRAPP (1: GRAPP) Tobias Feigl, Andreas Porada, Steve Steiner, Christoffer Löffler, Christopher Mutschler, Michael Philippsen
2020	J	`jnl`	RNN-Aided Human Velocity Estimation from a Single IMU. Sensors Tobias Feigl, Sebastian Kram, Philipp Woller, Ramiz H. Siddiqui, Michael Philippsen, Christopher Mutschler
2020	—	`conf`	Real-Time Gait Reconstruction For Virtual Reality Using a Single Sensor. ISMAR Adjunct Tobias Feigl, Lisa Gruner, Christopher Mutschler, Daniel Roth
2020	—	`conf`	ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization. CVPR Workshops Felix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler
2019	C	`conf`	A Bidirectional LSTM for Estimating Dynamic Human Velocities from a Single IMU. IPIN Tobias Feigl, Sebastian Kram, Philipp Woller, Ramiz H. Siddiqui, Michael Philippsen, Christopher Mutschler
2019	—	`conf`	A Social Interaction Interface Supporting Affective Augmentation Based on Neuronal Data. SUI Daniel Roth, Larissa Brübach, Franziska Westermeier, Christian Schell, Tobias Feigl, Marc Erich Latoschik
2019	—	`conf`	Brain 2 Communicate: EEG-based Affect Recognition to Augment Virtual Social Interactions. MuC (Workshopband) Daniel Roth, Franziska Westermeier, Larissa Brübach, Tobias Feigl, Christian Schell, Marc Erich Latoschik
2019	J	`jnl`	Sick Moves! Motion Parameters as Indicators of Simulator Sickness. IEEE Trans. Vis. Comput. Graph. Tobias Feigl, Daniel Roth, Stefan Gradl, Markus Wirth, Marc Erich Latoschik, Björn M. Eskofier, Michael Philippsen, Christopher Mutschler
2019	J	`jnl`	UWB Channel Impulse Responses for Positioning in Complex Environments: A Detailed Feature Analysis. Sensors Sebastian Kram, Maximilian Stahlke, Tobias Feigl, Jochen Seitz, Jörn Thielecke
2019	J	`jnl`	ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization. CoRR Felix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler
2018	—	`conf`	A Location-Based VR Museum. VS-GAMES Jean-Luc Lugrin, Florian Kern, Ruben Schmidt, Constantin Kleinbeck, Daniel Roth, Christian Daxer, Tobias Feigl, Christopher Mutschler, Marc Erich Latoschik
2018	A*	`conf`	Beyond Replication: Augmenting Social Behaviors in Multi-User Virtual Realities. VR Daniel Roth, Constantin Kleinbeck, Tobias Feigl, Christopher Mutschler, Marc Erich Latoschik
2018	A*	`conf`	Head-to-Body-Pose Classification in No-Pose VR Tracking Systems. VR Tobias Feigl, Christopher Mutschler, Michael Philippsen
2018	A*	`conf`	Human Compensation Strategies for Orientation Drifts. VR Tobias Feigl, Christopher Mutschler, Michael Philippsen
2018	C	`conf`	Recurrent Neural Networks on Drifting Time-of-Flight Measurements. IPIN Tobias Feigl, Thorsten Nowak, Michael Philippsen, Thorsten Edelhäußer, Christopher Mutschler
2018	C	`conf`	Supervised Learning for Yaw Orientation Estimation. IPIN Tobias Feigl, Christopher Mutschler, Michael Philippsen
2017	B	`conf`	Acoustical manipulation for redirected walking. VRST Tobias Feigl, Eliise Kõre, Christopher Mutschler, Michael Philippsen
2017	—	`conf`	Social Augmentations in Multi-User Virtual Reality: A Virtual Museum Experience. ISMAR Adjunct Daniel Roth, Constantin Kleinbeck, Tobias Feigl, Christopher Mutschler, Marc Erich Latoschik