Social Emotion Mining Techniques for Facebook Posts Reaction Prediction. - Florian Krebs; Bruno Lubascher; Tobias Moers; Pieter Schaap; Gerasimos Spanakis (ICAART (2), 2018)

SEMTec: Social Emotion Mining Techniques for Analysis and Prediction of Facebook Post Reactions. - Tobias Moers; Florian Krebs; Gerasimos Spanakis (ICAART (Revised Selected Papers), 2018)

Data-Driven Maneuver Modeling using Generative Adversarial Networks and Variational Autoencoders for Safety Validation of Highly Automated Vehicles. - Robert Krajewski; Tobias Moers; Dominik Nerger; Lutz Eckstein (ITSC, 2018)

BézierVAE: Improved Trajectory Modeling using Variational Autoencoders for the Safety Validation of Highly Automated Vehicles. - Robert Krajewski; Tobias Moers; Adrian Meister; Lutz Eckstein (ITSC, 2019)

VeGAN: Using GANs for Augmentation in Latent Space to Improve the Semantic Segmentation of Vehicles in Images From an Aerial Perspective. - Robert Krajewski; Tobias Moers; Lutz Eckstein (WACV, 2019)

The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany. - Robert Krajewski; Tobias Moers; Julian Bock; Lennart Vater; Lutz Eckstein (ITSC, 2020)

The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections. - Julian Bock; Robert Krajewski; Tobias Moers; Steffen Runde; Lennart Vater; Lutz Eckstein (IV, 2020)

Utilization and Potentials of Unmanned Aerial Vehicles (UAVs) in the Field of Automated Driving: A Survey. - Laurent Kloeker; Tobias Moers; Lennart Vater; Adrian Zlocki; Lutz Eckstein (ICVISP, 2021)

Drone-based Generation of Sensor Reference and Training Data for Highly Automated Vehicles. - Robert Krajewski; Lennart Vater; Marvin Klimke; Tobias Moers; Julian Bock; Lutz Eckstein (ITSC, 2021)

The exiD Dataset: A Real-World Trajectory Dataset of Highly Interactive Highway Scenarios in Germany. - Tobias Moers; Lennart Vater; Robert Krajewski; Julian Bock; Adrian Zlocki; Lutz Eckstein (IV, 2022)

A Semi-Automated Corner Case Detection and Evaluation Pipeline. - Isabelle Tülleners; Tobias Moers; Thomas Schulik; Martin Sedlácek (CoRR, 2023)