Michael Munz - RankMe

22 papers B 3C 1Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automatability and validity of methods for the quantification of intra-/Intermuscular adipose tissue in conventional MRI: a systematic review. BMC Medical Imaging Alicia Pirwass, Birte Glimm, Michael Munz, Hans-Joachim Wilke
2025	J	`jnl`	Boosting Automatic Exercise Evaluation Through Musculoskeletal Simulation-Based IMU Data Augmentation. CoRR Andreas Spilz, Heiko Oppel, Michael Munz
2025	J	`jnl`	GAITEX: Human motion dataset from impaired gait and rehabilitation exercises of inertial and optical sensor data. CoRR Andreas Spilz, Heiko Oppel, Jochen Werner, Kathrin Stucke-Straub, Felix Capanni, Michael Munz
2025	J	`jnl`	Optimizing training of time series diffusion models via similarity score functions: application to cyclic and acyclic motion with IMU data. Frontiers Artif. Intell. Heiko Oppel, Andreas Spilz, Michael Munz
2025	J	`jnl`	Sawtooth Sampling for Time Series Denoising Diffusion Implicit Models. CoRR Heiko Oppel, Andreas Spilz, Michael Munz
2025	J	`jnl`	Time Series Similarity Score Functions to Monitor and Interact with the Training and Denoising Process of a Time Series Diffusion Model applied to a Human Activity Recognition Dataset based on IMUs. CoRR Heiko Oppel, Andreas Spilz, Michael Munz
2024	J	`jnl`	IMUDiffusion: A Diffusion Model for Multivariate Time Series Synthetisation for Inertial Motion Capturing Systems. CoRR Heiko Oppel, Michael Munz
2024	—	`conf`	Towards Explainable Visual Vessel Recognition Using Fine-Grained Classification and Image Retrieval. CVPR Workshops Heiko Karus, Friedhelm Schwenker, Michael Munz, Michael Teutsch
2023	J	`jnl`	Automatic Assessment of Functional Movement Screening Exercises with Deep Learning Architectures. Sensors Andreas Spilz, Michael Munz
2023	J	`jnl`	Transformer-Based UNet with Multi-Headed Cross-Attention Skip Connections to Eliminate Artifacts in Scanned Documents. CoRR David Kreuzer, Michael Munz
2022	J	`jnl`	Automatic Assessment of Functional Movement Screening Exercises with Deep Learning Architectures. CoRR Andreas Spilz, Michael Munz
2021	J	`jnl`	Deep Convolutional and LSTM Networks on Multi-Channel Time Series Data for Gait Phase Recognition. Sensors David Kreuzer, Michael Munz
2021	J	`jnl`	Novel Approach To Synchronisation Of Wearable IMUs Based On Magnetometers. CoRR Andreas Spilz, Michael Munz
2020	J	`jnl`	Analysis of Gait-Event-related Brain Potentials During Instructed And Spontaneous Treadmill Walking - Technical Affordances and used Methods. CoRR Cornelia Herbert, Jan Nachtsheim, Michael Munz
2013	J	`jnl`	Real-Time Multi-Object Tracking using Random Finite Sets. IEEE Trans. Aerosp. Electron. Syst. Stephan Reuter, Benjamin Wilking, Jürgen Wiest, Michael Munz, Klaus Dietmayer
2012	B	`conf`	Impact of out-of-sequence measurements on the joint integrated probabilistic data association filter for vehicle safety systems. Intelligent Vehicles Symposium Antje Westenberger, Bharanidhar Duraisamy, Michael Munz, Marc M. Muntzinger, Martin Fritzsche, Klaus Dietmayer
2012	—	`conf`	Using grid maps to reduce the number of false positive measurements in advanced driver assistance systems. ITSC Dominik Nuss, Stephan Reuter, Marcus Konrad, Michael Munz, Klaus Dietmayer
2011	B	`conf`	Using Dempster-Shafer-based modeling of object existence evidence in sensor fusion systems for advanced driver assistance systems. Intelligent Vehicles Symposium Michael Munz, Klaus Dietmayer
2010	C	`conf`	Generalized fusion of heterogeneous sensor measurements for multi target tracking. FUSION Michael Munz, Klaus Dietmayer, Mirko Mählisch
2010	J	`jnl`	Generic Centralized Multi Sensor Data Fusion Based on Probabilistic Sensor and Environment Models for Driver Assistance Systems. IEEE Intell. Transp. Syst. Mag. Michael Munz, Mirko Mählisch, Klaus Dietmayer
2010	B	`conf`	Probabilistic modeling of sensor properties in generic fusion systems for modern driver assistance systems. Intelligent Vehicles Symposium Michael Munz, Mirko Mählisch, Jürgen Dickmann, Klaus Dietmayer
2009	—	`conf`	A sensor independent probabilistic fusion system for driver assistance systems. ITSC Michael Munz, Klaus C. J. Dietmayer, Mirko Mählisch