van der Sommen, Fons

9 publications

TMLR 2025 A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation Amaan Valiuddin, Ruud Van Sloun, Christiaan Viviers, Peter H.N. de With, Fons van der Sommen

ICCV 2025 DisCoPatch: Taming Adversarially-Driven Batch Statistics for Improved Out-of-Distribution Detection Francisco Caetano, Christiaan Viviers, Luis A. Zavala-Mondragón, Peter H.N. De With, Fons van der Sommen

ECCVW 2024 Can Your Generative Model Detect Out-of-Distribution Covariate Shift? Christiaan G. A. Viviers, M. M. Amaan Valiuddin, Francisco Caetano, Lemar Abdi, Lena Filatova, Peter H. N. de With, Fons van der Sommen

CVPRW 2024 Evaluating Confidence Calibration in Endoscopic Diagnosis Models Nikoo Dehghani, Ayla Thijssen, Quirine E. W. van der Zander, Ramon-Michel Schreuder, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With

ECCVW 2024 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

WACV 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

ICMLW 2024 Segmentation CNNs Are Denoising Models Luis A. Zavala-Mondragón, Ruud Van Sloun, Peter H.N. de With, Fons van der Sommen

ICCVW 2023 Segmentation-Based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma Christiaan G. A. Viviers, Mark Ramaekers, M. M. Amaan Valiuddin, Terese Hellström, Nick Tasios, John van der Ven, Igor Jacobs, Lotte Ewals, Joost Nederend, Peter H. N. de With, Misha Luyer, Fons van der Sommen

ECML-PKDD 2022 Block-Level Surrogate Models for Inference Time Estimation in Hardware-Aware Neural Architecture Search Kurt Stolle, Sebastian Vogel, Fons van der Sommen, Willem P. Sanberg