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Petra Bosilj

4 papers hereh-index 11470 citations35 works total

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.CV3
  • cs.LG1
same name
  • Petra Bosilj — 2 papers, h 1
  • Petra Bosilj — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedDomain Generalisation for Object Detection under Covariate and Concept Shift

6 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Accurate Shift Invariant Convolutional Neural Networks Using Gaussian-Hermite Moments

Jaspreet Singh, Petra Bosilj, Grzegorz Cielniak

The convolutional neural networks (CNNs) are not inherently shift invariant or equivariant. The downsampling operation, used in CNNs, is one of the key reasons which breaks the shi…

cs.LG2023

Neural Fields with Hard Constraints of Arbitrary Differential Order

Fangcheng Zhong, Kyle Fogarty, Param Hanji +6

While deep learning techniques have become extremely popular for solving a broad range of optimization problems, methods to enforce hard constraints during optimization, particular…

cs.CV2022

DeepVerge: Classification of Roadside Verge Biodiversity and Conservation Potential

Andrew Perrett, Charlie Barnes, Mark Schofield +3

Open space grassland is being increasingly farmed or built upon, leading to a ramping up of conservation efforts targeting roadside verges. Approximately half of all UK grassland s…

cs.CV2022★ 6 cited

Domain Generalisation for Object Detection under Covariate and Concept Shift

Karthik Seemakurthy, Erchan Aptoula, Charles Fox +1

Domain generalisation aims to promote the learning of domain-invariant features while suppressing domain-specific features, so that a model can generalise better to previously unse…

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