Predicting I/O Performance in HPC Using Artificial Neural Networks. - Jan Fabian Schmid; Julian M. Kunkel (Supercomput. Front. Innov., 2016)

Features for Ground Texture Based Localization - A Survey. - Jan Fabian Schmid; Stephan F. Simon; Rudolf Mester (BMVC, 2019)

Explore, Approach, and Terminate: Evaluating Subtasks in Active Visual Object Search Based on Deep Reinforcement Learning. - Jan Fabian Schmid; Mikko Lauri; Simone Frintrop (IROS, 2019)

Ground Texture Based Localization Using Compact Binary Descriptors. - Jan Fabian Schmid; Stephan F. Simon; Rudolf Mester (ICRA, 2020)

Ground Texture Based Localization: Do We Need to Detect Keypoints? - Jan Fabian Schmid; Stephan F. Simon; Rudolf Mester (IROS, 2020)

Model-Based Parameter Optimization for Ground Texture Based Localization Methods. - Jan Fabian Schmid; Stephan F. Simon; Rudolf Mester (CoRR, 2021)

Deep Metric Learning for Ground Images. - Raaghav Radhakrishnan; Jan Fabian Schmid; Randolf Scholz; Lars Schmidt-Thieme (CoRR, 2021)

HD Ground - A Database for Ground Texture Based Localization. - Jan Fabian Schmid; Stephan F. Simon; Raaghav Radhakrishnan; Simone Frintrop; Rudolf Mester (ICRA, 2022)

Ground texture based localization. - Jan Fabian Schmid (2024)