Circuit design using evolutionary algorithms. - Thomas Beielstein; Jan Dienstuhl; Christian Feist; Marc Pompl (IEEE Congress on Evolutionary Computation, 2002)

Fast Change Detection for Camera-based Surveillance Systems. - Matthias Michael; Christian Feist; Florian Schuller; Marc Tschentscher (ITSC, 2016)

Multiple intention tracking by a generalizec potential field approach. - Florian Particke; Markus Hiller; Lucila Patino-Studencki; Christoph Sippl; Christian Feist; Jörn Thielecke (SDF, 2017)

Pedestrian Tracking using a Generalized Potential Field Approach. - Florian Particke; Lucila Patino-Studencki; Jörn Thielecke; Christian Feist (VISIGRAPP (6: VISAPP), 2017)

Entropy-Based Intention Change Detection with a Multi-Hypotheses Filter. - Florian Particke; Christian Hofmann; Markus Hiller; Henrik Bey; Christian Feist; Jörn Thielecke (FUSION, 2018)

Roadgraph Generation and Free-Space Estimation in Unknown Structured Environments for Autonomous Vehicle Motion Planning. - Tobias Kessler; Pascal Minnerup; Klemens Esterle; Christian Feist; Florian Mickler; Erwin Roth; Alois C. Knoll (ITSC, 2018)

Improvements in pedestrian movement prediction by considering multiple intentions in a Multi-Hypotheses filter. - Florian Particke; Markus Hiller; Christian Feist; Jörn Thielecke (PLANS, 2018)

ParkDiffusion: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction for Automated Parking using Diffusion Models. - Jiarong Wei; Niclas Vödisch; Anna Rehr; Christian Feist; Abhinav Valada (CoRR, 2025)