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ORCIDTim J. Schoonbeek
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2020 – today
- 2024
[c4]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, Shuja Khalid, Akshay Krishnan, Chuming Li, Maxim Pisarenco, Amit Raj, Frank Rudzicz, Tim J. Schoonbeek
, Sandhya Sridhar, Nathan Tseng, Fons van der Sommen, Chen Wang, Yunbo Wang, Tong Wu, Xiaokang Yang, Jiawei Yao, Derek Young, Xianling Zhang:
Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing. WACV (Workshops) 2024: 762-766- [c3]Tim J. Schoonbeek, Tim Houben, Hans Onvlee, Peter H. N. de With, Fons van der Sommen:
IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting. WACV 2024: 4353-4362 - [i3]Tim J. Schoonbeek, Goutham Balachandran, Hans Onvlee, Tim Houben, Shao-Hsuan Hung, Jacek Kustra, Peter H. N. de With, Fons van der Sommen:
Supervised Representation Learning towards Generalizable Assembly State Recognition. CoRR abs/2408.11700 (2024) - [i2]Dan Lehman, Tim J. Schoonbeek, Shao-Hsuan Hung, Jacek Kustra, Peter H. N. de With, Fons van der Sommen:
Find the Assembly Mistakes: Error Segmentation for Industrial Applications. CoRR abs/2408.12945 (2024) - 2023
- [c2]Tim J. Schoonbeek, Hans Onvlee, Pierluigi Frisco, Peter H. N. de With, Fons van der Sommen:
Beyond Action Recognition: Extracting Meaningful Information from Procedure Recordings. VR Workshops 2023: 881-882 - [i1]Tim J. Schoonbeek, Tim Houben, Hans Onvlee, Peter H. N. de With, Fons van der Sommen:
IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting. CoRR abs/2310.17323 (2023) - 2022
- [c1]Tim J. Schoonbeek, Fabrizio J. Piva, Hamid R. Abdolhay, Gijs Dubbelman:
Learning to Predict Collision Risk from Simulated Video Data. IV 2022: 943-951
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