2 citations · 2 across the 4 of their papers we have counts for
4 papers
Harmformer: Harmonic Networks Meet Transformers for Continuous Roto-Translation Equivariance
Tomáš Karella, Adam Harmanec, Jan Kotera +2
CNNs exhibit inherent equivariance to image translation, leading to efficient parameter and data usage, faster learning, and improved robustness. The concept of translation equivar…
H-NeXt: The next step towards roto-translation invariant networks
Tomas Karella, Filip Sroubek, Jan Flusser +2
The widespread popularity of equivariant networks underscores the significance of parameter efficient models and effective use of training data. At a time when robustness to unseen…
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…