O. Strafforello (2024), Rethinking the objectives of computer vision systems, PhD Thesis Delft University of Technology.

Ombretta Strafforello, Klamer Schutte, Jan van Gemert (2023), Are current long-term video understanding datasets long-term?, Cristina Ceballos (Eds.), In Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) p.2959-2968, IEEE.

J. Warchocki, T. Oprescu, Y. Wang, A. Dămăcuș, P.M. Misterka, R. Bruintjes, A. Lengyel, O. Strafforello, J.C. van Gemert (2023), Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models, In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops p.3008-3016.

A. Lengyel, O. Strafforello, R. Bruintjes, A.S. Gielisse, J.C. van Gemert (2023), Color Equivariant Convolutional Networks, In 37th Conference on Neural Information Processing Systems.

Ombretta Strafforello, Xin Liu, Klamer Schutte, Jan van Gemert (2023), Video BagNet: Short temporal receptive fields increase robustness in long-term action recognition, Cristina Ceballos (Eds.), In Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) p.159-166, IEEE.

Ombretta Strafforello, Vanathi Rajasekart, Osman S. Kayhan, Oana Inel, Jan van Gemert (2022), Humans Disagree With the IoU for Measuring Object Detector Localization Error, In Proceedings of the 2022 IEEE International Conference on Image Processing (ICIP) p.1261-1265, IEEE.

Luca Ballan, Ombretta Strafforello, Klamer Schutte (2021), Long-term behaviour recognition in videos with actor-focused region attention, Giovanni Maria Farinella, Petia Radeva, Jose Braz, Kadi Bouatouch (Eds.), In VISAPP p.362-369, SciTePress.