Learning to Predict Collision Risk from Simulated Video Data. - Tim J. Schoonbeek; Fabrizio J. Piva; Hamid R. Abdolhay; Gijs Dubbelman (IV, 2022)

Augmented Reality for Automatically Generating Robust Manufacturing and Maintenance Logs. - Tim J. Schoonbeek; Pierluigi Frisco; Hans Onvlee; Peter H. N. de With; Fons van der Sommen (LIM, 2022)

Beyond Action Recognition: Extracting Meaningful Information from Procedure Recordings. - Tim J. Schoonbeek; Hans Onvlee; Pierluigi Frisco; Peter H. N. de With; Fons van der Sommen (VR Workshops, 2023)

Find the Assembly Mistakes: Error Segmentation for Industrial Applications. - Dan Lehman; Tim J. Schoonbeek; Shao-Hsuan Hung; Jacek Kustra; Peter H. N. de With; Fons van der Sommen (ECCV Workshops (4), 2024)

Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing. - Marissa Ramirez de Chanlatte; Phillip Colella; Trevor Darrell; Alexandra Carlson; Peter H. N. de With; Huayu Deng; Shanyan Guan; James Hays; Tim Houben; Thomas Huisman; Nikita Jaipuria; Hans Johansen; et al. (WACV (Workshops), 2024)

IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting. - Tim J. Schoonbeek; Tim Houben; Hans Onvlee; Peter H. N. de With; Fons van der Sommen (WACV, 2024)

Supervised Representation Learning Towards Generalizable Assembly State Recognition. - Tim J. Schoonbeek; Goutham Balachandran; Hans Onvlee; Tim Houben; Shao-Hsuan Hung; Jacek Kustra; Peter H. N. de With; Fons van der Sommen (IEEE Robotics Autom. Lett., 2024)