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)

Human-centric artificial intelligence architecture for industry 5.0 applications. - Joze M. Rozanec; Inna Novalija; Patrik Zajec; Klemen Kenda; Hooman Tavakoli Ghinani; Sungho Suh; Entso Veliou; Dimitrios Papamartzivanos; Thanassis Giannetsos; Sofia-Anna Menesidou; Rubén Alonso; Nino Cauli; et al. (Int. J. Prod. Res., 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)

Worker Activity Recognition in Manufacturing Line Using Near-Body Electric Field. - Sungho Suh; Vítor Fortes Rey; Sizhen Bian; Yu-Chi Huang; Joze M. Rozanec; Hooman Tavakoli Ghinani; Bo Zhou 005; Paul Lukowicz (IEEE Internet Things J., 2024)

Synthetic Data and Active Learning for Efficient Object Detection. - Hooman Tavakoli Ghinani; Nimesh Singh; Tatjana Legler; Achim Wagner; Martin Ruskowski (CAiSE Workshops, 2025)