Christoffer Löffler

Machine Learning and Data Analytics Lab

Active Learning of Ordinal Embeddings: A User Study on Football Data (2023) Löffler C, Fallah K, Fenu S, Zanca D, Eskofier B, Rozell CJ, Mutschler C Journal article, Online publication Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories (2022) Löffler C, Reeb L, Dzibela D, Marzilger R, Witt N, Eskofier B, Mutschler C Journal article IALE: Imitating Active Learner Ensembles (2022) Löffler C, Mutschler C Journal article, Original article Recipes for Post-training Quantization of Deep Neural Networks (2020) Mishra A, Löffler C, Plinge A Conference contribution, Conference Contribution A Sense of Quality for Augmented Reality Assisted Process Guidance (2020) Redzepagic A, Löffler C, Feigl T, Mutschler C Conference contribution, Conference Contribution ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization (2020) Ott F, Feigl T, Löffler C, Mutschler C Conference contribution, Conference Contribution Automated Quality Assurance for Hand-held Tools via Embedded Classification and AutoML (2020) Löffler C, Nickel C, Sobel C, Daniel D, Braat J, Gruhler B, Woller P, et al. Conference contribution, Conference Contribution Localization Limitations of ARCore, ARKit, and Hololens in Dynamic Large-Scale Industry Environments (2020) Feigl T, Porada A, Steiner S, Löffler C, Mutschler C, Philippsen M Conference contribution, Original article Visual-Odometry-aided Pose Regression for 6DoF Camera Localization (2019) Ott F, Feigl T, Löffler C, Mutschler C Other publication type Optical Camera Communication for Active Marker Identification in Camera-based Positioning Systems (2018) Gorse L, Löffler C, Mutschler C, Philippsen M Conference contribution, Conference Contribution