Small Object Detection for Near Real-Time Egocentric Perception in a Manual Assembly Scenario. - Hooman Tavakoli; Snehal Walunj; Parsha Pahlevannejad; Christiane Plociennik; Martin Ruskowski (CoRR, 2021)

Recognising Worker Intentions by Assembly Step Prediction. - Stefan-Alexandru Precup; Snehal Walunj; Arpad Gellert; Christiane Plociennik; Jibinraj Antony; Constantin-Bala Zamfirescu; Martin Ruskowski (ETFA, 2023)

Ontology-Based Digital Twin Framework for Smart Factories. - Snehal Walunj; Michael Sintek; Parsha Pahlevannejad; Christiane Plociennik; Martin Ruskowski (ISD, 2023)

Context-Aware Robotic Assistance for Workers Using Intention Recognition and Semantic Digital Twin. - Snehal Walunj; Parsha Pahlevannejad; Michael Sintek; Juan Carlos Saborío; Prerna Garg; Hooman Tavakoli; Christiane Plociennik; Nicolas Großmann; Ansgar Bernardi; Martin Ruskowski; Joachim Hertzberg; Andreas Dengel 001 (IHCI (1), 2024)

Enhancing Object Detection Performance for Small Objects through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios. - Jibinraj Antony; Vinit Hegiste; Ali Nazeri; Hooman Tavakoli; Snehal Walunj; Christiane Plociennik; Martin Ruskowski (CoRR, 2024)

Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques. - Vinit Hegiste; Snehal Walunj; Jibinraj Antony; Tatjana Legler; Martin Ruskowski (CoRR, 2024)

Context-Aware Worker Assistance System in Augmented Reality using Semantically Zoomable Digital Twin. - Snehal Walunj; Parsha Pahlevannejad; Ali Karnoub; Christiane Plociennik; Martin Ruskowski (CogSIMA, 2025)