2 citations · 2 across the 4 of their papers we have counts for
4 papers
Exemplar: Few-Shot Biomedical Segmentation That Refits Exactly in Seconds
Michal Průšek, Adam Novozámský, Filip Šroubek
Segmenting a new microscopy dataset usually means training a deep network on its annotations, and training again for every added image. Exemplar solves a segmentation readout in cl…
HyperBank: A Differentiable Bank of Classical Priors for Few-Shot Spheroid Microscopy Segmentation
M. Průšek, A. Novozámský, F. Šroubek +3
Few-shot spheroid segmentation must adapt to new cell lines, microscopes, and illumination conditions from only a small set of annotated images. While foundation few-shot segmenter…
NeRD: Neural field-based Demosaicking
Tomas Kerepecky, Filip Sroubek, Adam Novozamsky +1
We introduce NeRD, a new demosaicking method for generating full-color images from Bayer patterns. Our approach leverages advancements in neural fields to perform demosaicking by r…
Real-Time Wheel Detection and Rim Classification in Automotive Production
Roman Stanek, Tomas Kerepecky, Adam Novozamsky +3
This paper proposes a novel approach to real-time automatic rim detection, classification, and inspection by combining traditional computer vision and deep learning techniques. At…