Per-Erik Forssén

Emmanuele Barberi, Filippo Cucinotta, Per-Erik Forssén, Marcello Raffaele, Fabio Salmeri,  A Differential Entropy-Based Method for Reverse Engineering Quality Assessment, DESIGN TOOLS AND METHODS IN INDUSTRIAL ENGINEERING III, VOL 2, ADM 2023, Lecture Notes in Mechanical Engineering, pp. 451-458, SPRINGER INTERNATIONAL PUBLISHING AG (2024)  https://doi.org/10.1007/978-3-031-58094-9_50

Simon Kristoffersson Lind, Ziliang Xiong, Per-Erik Forssén, Volker Kruger,  Uncertainty quantification metrics for deep regression, Pattern Recognition Letters 186:91-97 (2024)  https://doi.org/10.1016/j.patrec.2024.09.011  https://arxiv.org/abs/2405.04278

Ziliang Xiong, Arvi Jonnarth, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssén,  Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 3471-3480, IEEE (2024)  https://doi.org/10.1109/cvprw63382.2024.00351

Emil Brissman, Per-Erik Forssén, Johan Edstedt,  Camera Calibration Without Camera Access - A Robust Validation Technique for Extended PnP Methods, , Gade, R., Felsberg, M., Kämäräinen, JK (eds.), Lecture Notes in Computer Science, pp. 34-49 (2023)  https://doi.org/10.1007/978-3-031-31435-3_3

Emil Brissman, Per-Erik Forssén, Johan Edstedt, Camera Calibration without Camera Access – A Robust Validation Technique for Extended PnP Methods (2023)  https://arxiv.org/abs/2302.06949