3 papers
cs.GR2026
NeurFrame: Learning Continuous Frame Fields for Structured Mesh Generation
Xiaoyang Yu, Canjia Huang, Zhonggui Chen +1
Structured meshes, composed of quadrilateral elements in 2D and hexahedral elements in 3D, are widely used in industrial applications and engineering simulations due to their regul…
cs.CV2024
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification
Jannik Franzen, Claudia Winklmayr, Vanessa E. Guarino +6
Uncertainty Quantification (UQ) is crucial for reliable image segmentation. Yet, while the field sees continual development of novel methods, a lack of agreed-upon benchmarks limit…
cs.CV2024
Model Guidance via Explanations Turns Image Classifiers into Segmentation Models
Xiaoyan Yu, Jannik Franzen, Wojciech Samek +2
Heatmaps generated on inputs of image classification networks via explainable AI methods like Grad-CAM and LRP have been observed to resemble segmentations of input images in many…