Per-Erik Forssén

Ludvig Dillén, Per-Erik Forssén, Johan Edstedt, FACT: Multinomial Misalignment Classification for Point Cloud Registration (2025)  https://arxiv.org/abs/2504.06627

Ziliang Xiong, Shipeng Liu, Nathaniel Helgesen, Joakim Johnander, Per-Erik Forssen, CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving (2025)  https://arxiv.org/abs/2503.07425

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