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researcher

Filip Šroubek

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
ORCID 0000-0001-6835-4911

identity via Semantic Scholar / OpenAlex

most citedReal-Time Wheel Detection and Rim Classification in Automotive Production

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024

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…

cs.CV2023

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…

cs.CV2023

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…

cs.CV2023★ 2 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.