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ORCIDChristopher Mutschler
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- affiliation: University of Erlangen-Nuremberg, Germany
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2020 – today
- 2024
[j13]Felix Ott
, Lucas Heublein, David Rügamer, Bernd Bischl, Christopher Mutschler:
Fusing structure from motion and simulation-augmented pose regression from optical flow for challenging indoor environments. J. Vis. Commun. Image Represent. 103: 104256 (2024)- [c57]Felix Ott, Lucas Heublein, Nisha Lakshmana Raichur, Tobias Feigl, Jonathan Hansen, Alexander Rügamer, Christopher Mutschler:
Few-Shot Learning with Uncertainty-Based Quadruplet Selection for Interference Classification in GNSS Data. ICL-GNSS 2024: 1-7 - [c56]Maniraman Periyasamy, Marc Hölle, Marco Wiedmann, Daniel D. Scherer, Axel Plinge, Christopher Mutschler:
BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading. IJCNN 2024: 1-9 - [i40]Felix Ott, Lucas Heublein, Nisha Lakshmana Raichur, Tobias Feigl, Jonathan Hansen, Alexander Rügamer, Christopher Mutschler:
Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data. CoRR abs/2402.09466 (2024) - [i39]Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Andreas K. Maier:
Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks. CoRR abs/2404.06314 (2024) - [i38]Nico Meyer, Martin Röhn, Jakob Murauer, Axel Plinge, Christopher Mutschler, Daniel D. Scherer:
Comprehensive Library of Variational LSE Solvers. CoRR abs/2404.09916 (2024) - [i37]Nico Meyer, Jakob Murauer, Alexander Popov, Christian Ufrecht, Axel Plinge, Christopher Mutschler, Daniel D. Scherer:
Warm-Start Variational Quantum Policy Iteration. CoRR abs/2404.10546 (2024) - [i36]Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Wolfgang Mauerer:
Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule. CoRR abs/2404.15751 (2024) - [i35]Nisha Lakshmana Raichur, Lucas Heublein, Tobias Feigl, Alexander Rügamer, Christopher Mutschler, Felix Ott:
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning. CoRR abs/2405.11067 (2024) - [i34]Mark Deutel, Frank Hannig, Christopher Mutschler, Jürgen Teich:
On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers. CoRR abs/2407.10734 (2024) - [i33]Mark Deutel, Christopher Mutschler, Jürgen Teich:
microYOLO: Towards Single-Shot Object Detection on Microcontrollers. CoRR abs/2408.15865 (2024) - [i32]Lucas Heublein, Tobias Feigl, Thorsten Nowak, Alexander Rügamer, Christopher Mutschler, Felix Ott:
Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization. CoRR abs/2409.15114 (2024) - 2023
- [j12]Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler:
Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition. IEEE Access 11: 94148-94172 (2023) - [j11]Maja Franz, Lucas Wolf, Maniraman Periyasamy, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Wolfgang Mauerer:
Uncovering instabilities in variational-quantum deep Q-networks. J. Frankl. Inst. 360(17): 13822-13844 (2023) - [j10]Christian Ufrecht, Maniraman Periyasamy, Sebastian Rietsch, Daniel D. Scherer, Axel Plinge, Christopher Mutschler:
Cutting multi-control quantum gates with ZX calculus. Quantum 7: 1147 (2023) - [j9]Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Björn M. Eskofier, Christopher John Rozell, Christopher Mutschler:
Active Learning of Ordinal Embeddings: A User Study on Football Data. Trans. Mach. Learn. Res. 2023 (2023) - [c55]Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann:
Quantum Policy Gradient Algorithm with Optimized Action Decoding. ICML 2023: 24592-24613 - [c54]Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca:
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. IJCNN 2023: 1-8 - [c53]Jonathan Ott, Maximilian Stahlke, Sebastian Kram, Tobias Feigl, Christopher Mutschler:
Multipath Delay Estimation in Complex Environments using Transformer. IPIN 2023: 1-6 - [c52]Maximilian Stahlke, Tobias Feigl, Sebastian Kram, Bjoern M. Eskofier, Christopher Mutschler:
Uncertainty-based Fingerprinting Model Selection for Radio Localization. IPIN 2023: 1-6 - [c51]Mark Deutel, Philipp Woller, Christopher Mutschler, Jürgen Teich:
Energy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep Compression. MBMV 2023: 1-12 - [c50]Volker Tresp, Steffen Udluft, Daniel Hein, Werner Hauptmann, Martin Leib, Christopher Mutschler, Daniel D. Scherer, Wolfgang Mauerer:
Workshop Summary: Quantum Machine Learning. QCE 2023: 1-3 - [c49]Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann:
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning. QCE 2023: 36-41 - [c48]Marco Wiedmann, Marc Hölle, Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler:
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-Based Gradients. QCE 2023: 450-456 - [c47]George Yammine, Georgios D. Kontes, Norbert Franke, Axel Plinge, Christopher Mutschler:
Efficient Beam Search for Initial Access Using Collaborative Filtering. WCNC 2023: 1-6 - [e1]Susanna Kaiser, Norbert Franke, Christopher Mutschler:
WiP Proceedings of the Thirteenth International Conference on Indoor Positioning and Indoor Navigation - Work-in-Progress Papers (IPIN-WiP 2023) co-located with 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2023), Nuremberg, Germany, September 25 - 28, 2023. CEUR Workshop Proceedings 3581, CEUR-WS.org 2023 [contents] - [i31]Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler:
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition. CoRR abs/2301.06293 (2023) - [i30]Felix Ott, Lucas Heublein, David Rügamer, Bernd Bischl, Christopher Mutschler:
Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments. CoRR abs/2304.07250 (2023) - [i29]Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann:
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning. CoRR abs/2304.13571 (2023) - [i28]Marco Wiedmann, Marc Hölle, Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler:
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients. CoRR abs/2305.00224 (2023) - [i27]Maniraman Periyasamy, Marc Hölle, Marco Wiedmann, Daniel D. Scherer, Axel Plinge, Christopher Mutschler:
Batch Quantum Reinforcement Learning. CoRR abs/2305.00905 (2023) - [i26]Mark Deutel, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich:
Augmented Random Search for Multi-Objective Bayesian Optimization of Neural Networks. CoRR abs/2305.14109 (2023) - [i25]Dinesh Parthasarathy, Georgios D. Kontes, Axel Plinge, Christopher Mutschler:
C-MCTS: Safe Planning with Monte Carlo Tree Search. CoRR abs/2305.16209 (2023) - [i24]Alexander Mattick, Christopher Mutschler:
Reinforcement Learning for Node Selection in Branch-and-Bound. CoRR abs/2310.00112 (2023) - [i23]Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler:
Velocity-Based Channel Charting with Spatial Distribution Map Matching. CoRR abs/2311.08016 (2023) - 2022
- [j8]Felix Ott, David Rügamer, Lucas Heublein, Tim Hamann, Jens Barth, Bernd Bischl, Christopher Mutschler:
Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens. Int. J. Document Anal. Recognit. 25(4): 385-414 (2022) - [j7]Christoffer Löffler, Christopher Mutschler:
IALE: Imitating Active Learner Ensembles. J. Mach. Learn. Res. 23: 107:1-107:29 (2022) - [j6]Christoffer Löffler, Luca Reeb, Daniel Dzibela, Robert Marzilger, Nicolas Witt, Björn M. Eskofier, Christopher Mutschler:
Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories. ACM Trans. Intell. Syst. Technol. 13(1): 6:1-6:23 (2022) - [c46]Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler:
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition. ICPR Workshops (1) 2022: 373-383 - [c45]Andreas Klaß, Sven M. Lorenz, Martin W. Lauer-Schmaltz, David Rügamer, Bernd Bischl, Christopher Mutschler, Felix Ott:
Uncertainty-aware Evaluation of Time-series Classification for Online Handwriting Recognition with Domain Shift. STRL@IJCAI 2022 - [c44]Lukas M. Schmidt, Johanna Brosig, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler:
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility. ITSC 2022: 1342-1349 - [c43]Lukas M. Schmidt, Sebastian Rietsch, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler:
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies. ITSC 2022: 1913-1920 - [c42]Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler:
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift. ACM Multimedia 2022: 5934-5943 - [c41]Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler:
Incremental Data-Uploading for Full-Quantum Classification. QCE 2022: 31-37 - [c40]Maximilian Stahlke, Tobias Feigl, Mario Hernán Castañeda García, Richard A. Stirling-Gallacher, Jochen Seitz, Christopher Mutschler:
Transfer Learning to adapt 5G AI-based Fingerprint Localization across Environments. VTC Spring 2022: 1-5 - [c39]Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler:
Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task Learning Approach. WACV 2022: 1244-1254 - [c38]Sebastian Kram, Christopher Kraus, Maximilian Stahlke, Tobias Feigl, Jörn Thielecke, Christopher Mutschler:
Delay Estimation in Dense Multipath Environments using Time Series Segmentation. WCNC 2022: 1671-1676 - [d1]Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca:
Scaled and Translated Image Recognition (STIR). Zenodo, 2022
- [i22]Maja Franz, Lucas Wolf, Maniraman Periyasamy, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Wolfgang Mauerer:
Uncovering Instabilities in Variational-Quantum Deep Q-Networks. CoRR abs/2202.05195 (2022) - [i21]Felix Ott, David Rügamer, Lucas Heublein, Tim Hamann, Jens Barth, Bernd Bischl, Christopher Mutschler:
Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens. CoRR abs/2202.07036 (2022) - [i20]Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler:
Cross-Modal Common Representation Learning with Triplet Loss Functions. CoRR abs/2202.07901 (2022) - [i19]Lukas M. Schmidt, Johanna Brosig, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler:
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility. CoRR abs/2203.07676 (2022) - [i18]Christoffer Löffler, Wei-Cheng Lai, Bjoern M. Eskofier, Dario Zanca, Lukas Schmidt, Christopher Mutschler:
Don't Get Me Wrong: How to apply Deep Visual Interpretations to Time Series. CoRR abs/2203.07861 (2022) - [i17]Lukas M. Schmidt, Sebastian Rietsch, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler:
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies. CoRR abs/2203.08409 (2022) - [i16]Sebastian Kram, Christopher Kraus, Tobias Feigl, Maximilian Stahlke, Jörg Robert, Christopher Mutschler:
Position Tracking using Likelihood Modeling of Channel Features with Gaussian Processes. CoRR abs/2203.13110 (2022) - [i15]Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler:
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift. CoRR abs/2204.03342 (2022) - [i14]Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler:
Incremental Data-Uploading for Full-Quantum Classification. CoRR abs/2205.03057 (2022) - [i13]Mark Deutel, Philipp Woller, Christopher Mutschler, Jürgen Teich:
Deployment of Energy-Efficient Deep Learning Models on Cortex-M based Microcontrollers using Deep Compression. CoRR abs/2205.10369 (2022) - [i12]Andreas Klaß, Sven M. Lorenz, Martin W. Lauer-Schmaltz, David Rügamer, Bernd Bischl, Christopher Mutschler, Felix Ott:
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift. CoRR abs/2206.08640 (2022) - [i11]Sebastian Rietsch, Shih-Yuan Huang, Georgios D. Kontes, Axel Plinge, Christopher Mutschler:
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving. CoRR abs/2207.11432 (2022) - [i10]Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Bjoern M. Eskofier, Christopher John Rozell, Christopher Mutschler:
Active Learning of Ordinal Embeddings: A User Study on Football Data. CoRR abs/2207.12710 (2022) - [i9]Felix Ott, Nisha Lakshmana Raichur, David Rügamer, Tobias Feigl, Heiko Neumann, Bernd Bischl, Christopher Mutschler:
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression. CoRR abs/2208.00919 (2022) - [i8]George Yammine, Georgios D. Kontes, Norbert Franke, Axel Plinge, Christopher Mutschler:
Efficient Beam Search for Initial Access Using Collaborative Filtering. CoRR abs/2209.06669 (2022) - [i7]Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler:
Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach. CoRR abs/2210.06294 (2022) - [i6]Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Daniel D. Scherer, Axel Plinge, Christopher Mutschler:
A Survey on Quantum Reinforcement Learning. CoRR abs/2211.03464 (2022) - [i5]Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca:
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. CoRR abs/2211.10288 (2022) - [i4]Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann:
Quantum Policy Gradient Algorithm with Optimized Action Decoding. CoRR abs/2212.06663 (2022) - 2021
- [c37]Thomas Altstidl, Sebastian Kram, Oskar Herrmann, Maximilian Stahlke, Tobias Feigl, Christopher Mutschler:
Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning. IPIN 2021: 1-8 - [c36]Tobias Feigl, Ernst Eberlein, Sebastian Kram, Christopher Mutschler:
Robust ToA-Estimation using Convolutional Neural Networks on Randomized Channel Models. IPIN 2021: 1-8 - [c35]Steffen Meyer, Thomas Windisch, Adrian Perl, Daniel Dzibela, Robert Marzilger, Nicolas Witt, Justus Benzler, Göran Kirchner, Tobias Feigl, Christopher Mutschler:
Contact Tracing with the Exposure Notification Framework in the German Corona-Warn-App. IPIN 2021: 1-8 - [c34]Lukas M. Schmidt, Georgios D. Kontes, Axel Plinge, Christopher Mutschler:
Can You Trust Your Autonomous Car? Interpretable and Verifiably Safe Reinforcement Learning. IV 2021: 171-178 - 2020
- [j5]Felix Ott, Mohamad Wehbi, Tim Hamann, Jens Barth, Björn M. Eskofier, Christopher Mutschler:
The OnHW Dataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 92:1-92:20 (2020) - [j4]Tobias Feigl, Sebastian Kram, Philipp Woller, Ramiz H. Siddiqui, Michael Philippsen, Christopher Mutschler:
RNN-Aided Human Velocity Estimation from a Single IMU. Sensors 20(13): 3656 (2020) - [c33]Felix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler:
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization. CVPR Workshops 2020: 187-198 - [c32]Tobias Feigl, Andreas Porada, Steve Steiner, Christoffer Löffler, Christopher Mutschler, Michael Philippsen:
Localization Limitations of ARCore, ARKit, and Hololens in Dynamic Large-scale Industry Environments. VISIGRAPP (1: GRAPP) 2020: 307-318 - [c31]Maximilian Stahlke, Sebastian Kram, Christopher Mutschler, Thomas Mahr:
NLOS Detection using UWB Channel Impulse Responses and Convolutional Neural Networks. ICL-GNSS 2020: 1-6 - [c30]Tobias Feigl, Lisa Gruner, Christopher Mutschler, Daniel Roth:
Real-Time Gait Reconstruction For Virtual Reality Using a Single Sensor. ISMAR Adjunct 2020: 84-89 - [c29]Anes Redzepagic, Christoffer Löffler, Tobias Feigl, Christopher Mutschler:
A Sense of Quality for Augmented Reality Assisted Process Guidance. ISMAR Adjunct 2020: 129-134 - [c28]Georgios D. Kontes, Daniel D. Scherer, Tim Nisslbeck, Janina Fischer, Christopher Mutschler:
High-Speed Collision Avoidance using Deep Reinforcement Learning and Domain Randomization for Autonomous Vehicles. ITSC 2020: 1-8 - [c27]Christoffer Löffler, Christian Nickel, Christopher Sobel, Daniel Dzibela, Jonathan Braat, Benjamin Gruhler, Philipp Woller, Nicolas Witt, Christopher Mutschler:
Automated Quality Assurance for Hand-Held Tools via Embedded Classification and AutoML. ECML/PKDD (5) 2020: 532-535 - [i3]Christoffer Löffler, Karthik Ayyalasomayajula, Sascha Riechel, Christopher Mutschler:
IALE: Imitating Active Learner Ensembles. CoRR abs/2007.04637 (2020)
2010 – 2019
- 2019
- [j3]Arne Niitsoo, Thorsten Edelhäußer, Ernst Eberlein, Niels Hadaschik, Christopher Mutschler:
A Deep Learning Approach to Position Estimation from Channel Impulse Responses. Sensors 19(5): 1064 (2019) - [j2]Tobias Feigl, Daniel Roth, Stefan Gradl, Markus Wirth, Marc Erich Latoschik, Björn M. Eskofier, Michael Philippsen, Christopher Mutschler:
Sick Moves! Motion Parameters as Indicators of Simulator Sickness. IEEE Trans. Vis. Comput. Graph. 25(11): 3146-3157 (2019) - [c26]Tobias Feigl, Sebastian Kram, Philipp Woller, Ramiz H. Siddiqui, Michael Philippsen, Christopher Mutschler:
A Bidirectional LSTM for Estimating Dynamic Human Velocities from a Single IMU. IPIN 2019: 1-8 - [i2]Felix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler:
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization. CoRR abs/1912.08263 (2019) - [i1]Leonid Butyrev, Thorsten Edelhäußer, Christopher Mutschler:
Deep Reinforcement Learning for Motion Planning of Mobile Robots. CoRR abs/1912.09260 (2019) - 2018
- [c25]Birendra Ghimire, Jochen Seitz, Christopher Mutschler:
Indoor Positioning Using OFDM-Based Visible Light Communication System. IPIN 2018: 1-8 - [c24]Christoffer Löffler, Sascha Riechel, Janina Fischer, Christopher Mutschler:
Evaluation Criteria for Inside-Out Indoor Positioning Systems Based on Machine Learning. IPIN 2018: 1-8 - [c23]Arne Niitsoo, Thorsten Edelhäußer, Christopher Mutschler:
Convolutional Neural Networks for Position Estimation in TDoA-Based Locating Systems. IPIN 2018: 1-8 - [c22]Thorsten Nowak, Markus Hartmann, Jörn Thielecke, Niels Hadaschik, Christopher Mutschler:
Super-Resolution in RSS-Based Direction-of-Arrival Estimation. IPIN 2018: 1-8 - [c21]Tobias Feigl, Christopher Mutschler, Michael Philippsen:
Supervised Learning for Yaw Orientation Estimation. IPIN 2018: 206-212 - [c20]Tobias Feigl, Thorsten Nowak, Michael Philippsen, Thorsten Edelhäußer, Christopher Mutschler:
Recurrent Neural Networks on Drifting Time-of-Flight Measurements. IPIN 2018: 206-212 - [c19]Daniel Roth, Constantin Kleinbeck, Tobias Feigl, Christopher Mutschler, Marc Erich Latoschik:
Beyond Replication: Augmenting Social Behaviors in Multi-User Virtual Realities. VR 2018: 215-222 - [c18]Tobias Feigl, Christopher Mutschler, Michael Philippsen:
Human Compensation Strategies for Orientation Drifts. VR 2018: 409-414 - [c17]Tobias Feigl, Christopher Mutschler, Michael Philippsen:
Head-to-Body-Pose Classification in No-Pose VR Tracking Systems. VR 2018: 545-546 - [c16]Jean-Luc Lugrin, Florian Kern, Ruben Schmidt, Constantin Kleinbeck, Daniel Roth, Christian Daxer, Tobias Feigl, Christopher Mutschler, Marc Erich Latoschik:
A Location-Based VR Museum. VS-GAMES 2018: 1-2 - [c15]Lorenz Gorse, Christoffer Löffler, Christopher Mutschler, Michael Philippsen:
Optical Camera Communication for Active Marker Identification in Camera-based Positioning Systems. WPNC 2018: 1-6 - 2017
- [c14]Daniel Roth, Constantin Kleinbeck, Tobias Feigl, Christopher Mutschler, Marc Erich Latoschik:
Social Augmentations in Multi-User Virtual Reality: A Virtual Museum Experience. ISMAR Adjunct 2017: 42-43 - [c13]Tobias Feigl, Eliise Kõre, Christopher Mutschler, Michael Philippsen:
Acoustical manipulation for redirected walking. VRST 2017: 45:1-45:2 - 2016
- [c12]Mohammad Alawieh, Niels Hadaschik, Norbert Franke, Christopher Mutschler:
Inter-satellite ranging in the Low Earth Orbit. CSNDSP 2016: 1-6 - [c11]Stefan Gradl, Björn M. Eskofier, Dominic Eskofier, Christopher Mutschler, Stephan Otto:
Virtual and augmented reality in sports: an overview and acceptance study. UbiComp Adjunct 2016: 885-888 - [c10]Benjamin Sackenreuter, Niels Hadaschik, Marc Fassbinder, Christopher Mutschler:
Low-complexity PDoA-based localization. IPIN 2016: 1-6 - 2015
- [c9]Christoffer Löffler, Christopher Mutschler, Michael Philippsen:
Approximative event processing on sensor data streams. DEBS 2015: 360-363 - 2014
- [b1]Christopher Mutschler:
Latency Minimization of Order-Preserving Distributed Event-Based Systems. University of Erlangen-Nuremberg, Verlag Dr. Hut 2014 - [j1]Christopher Mutschler, Michael Philippsen:
Adaptive Speculative Processing of Out-of-Order Event Streams. ACM Trans. Internet Techn. 14(1): 4:1-4:24 (2014) - [c8]Christopher Mutschler, Christoffer Löffler, Nicolas Witt, Thorsten Edelhäußer, Michael Philippsen:
Predictive load management in smart grid environments. DEBS 2014: 282-287 - 2013
- [c7]Christoffer Löffler, Christopher Mutschler, Michael Philippsen:
Evolutionary algorithms that use runtime migration of detector processes to reduce latency in event-based systems. AHS 2013: 31-38 - [c6]Christopher Mutschler, Michael Philippsen:
Reliable speculative processing of out-of-order event streams in generic publish/subscribe middlewares. DEBS 2013: 147-158 - [c5]Christopher Mutschler, Holger Ziekow, Zbigniew Jerzak:
The DEBS 2013 grand challenge. DEBS 2013: 289-294 - [c4]Christopher Mutschler, Nicolas Witt, Michael Philippsen:
Demo: do event-based systems have a passion for sports? DEBS 2013: 331-332 - [c3]Christopher Mutschler, Michael Philippsen:
Distributed Low-Latency Out-of-Order Event Processing for High Data Rate Sensor Streams. IPDPS 2013: 1133-1144 - [c2]Christopher Mutschler, Michael Philippsen:
Runtime migration of stateful event detectors with low-latency ordering constraints. PerCom Workshops 2013: 609-614 - 2012
- [c1]Christopher Mutschler, Michael Philippsen:
Learning event detection rules with noise hidden Markov models. AHS 2012: 159-166
Coauthor Index
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the dblp computer science bibliography is funded and supported by:
