Towards Re-Identification for Warehousing Entities - A Work-in-Progress Study. - Jérôme Rutinowski; Christian Pionzewski; Tim Chilla; Christopher Reining; Michael ten Hompel (ETFA, 2021)

Deep Learning Based Re-Identification of Wooden Euro-pallets. - Jérôme Rutinowski; Christian Pionzewski; Tim Chilla; Christopher Reining; Michael ten Hompel (ICMLA, 2022)

Re-identification Robustness Over Time - The Case for Synthetic Training Data. - Stephan Matzke; Christian Pionzewski; Jérôme Rutinowski; Firdes Çelik; Markus König (ICMLA, 2023)

Synth- Yard-MCMOT - Synthetically Generated Multi-Camera Multi-Object Tracking Dataset In Yard Logistics. - Tim Chilla; Tom Stein; Christian Pionzewski; Oliver Urbann; Jérôme Rutinowski; Alice Kirchheim (ETFA, 2024)

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis. - Christian Pionzewski; Rebecca Rademacher; Jérôme Rutinowski; Antonia Ponikarov; Stephan Matzke; Tim Chilla; Pia Schreynemackers; Alice Kirchheim (ICMLA, 2024)