Dr.-Ing. Thomas Kautz

Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics) Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME)

xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning (2022) Link J, Schwinn L, Pulsmeyer F, Kautz T, Eskofier B Journal article Enhancement of speed and accuracy trade-off for sports ball detection in videos—finding fast moving, small objects in real time (2021) Hiemann A, Kautz T, Zottmann T, Hlawitschka M Journal article Mobile Stride Length Estimation with Deep Convolutional Neural Networks. (2018) Hannink J, Kautz T, Pasluosta CF, Barth J, Schülein S, Gaßmann KG, Klucken J, Eskofier B Journal article Classification and visualization of skateboard tricks using wearable sensors (2017) Groh B, Fleckenstein M, Kautz T, Eskofier B Journal article, Original article Activity recognition in beach volleyball using a Deep Convolutional Neural Network (2017) Kautz T, Groh B, Hannink J, Jensen U, Strubberg H, Eskofier B Journal article, Original article Generic performance measure for multiclass-classifiers (2017) Kautz T, Eskofier B, Pasluosta CF Journal article, Original article Automated Ski Velocity and Jump Length Determination in Ski Jumping Based on Unobtrusive and Wearable Sensors (2017) Groh B, Warschun F, Deininger M, Kautz T, Martindale C, Eskofier B Journal article, Original article Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks. (2017) Hannink J, Kautz T, Pasluosta CF, Gaßmann KG, Klucken J, Eskofier B Journal article, Original article Workshop on wearables for sports (2016) Martindale C, Wirth M, Schneegas S, Zrenner M, Groh B, Blank P, Schuldhaus D, et al. Conference contribution, Conference Contribution Wearable Real-Time Skateboard Trick Visualization and Its Community Perception (2016) Groh B, Flaschka J, Wirth M, Kautz T, Fleckenstein M, Eskofier B Journal article, Original article