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Peter Bell

4 papers hereh-index 7197 citations22 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cs.CV4
same name
  • Peter Bell — 9 papers, h 4
  • Peter Bell — 6 papers, h 6
  • Peter Bell — 5 papers, h 2
  • Peter Bell — 4 papers, h 6
  • Peter Bell — 4 papers, h 3
  • Peter Bell — 2 papers, 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

most citedRecognizing Characters in Art History Using Deep Learning

25 citations · 46 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Uncertainty-Aware Art-Historical Dating with Vision-Language Models

Stefanie Schneider, Peter Bell

Museum and archival datasets do not mirror historical artistic production, but materialize the contingent histories of collecting, preservation, cataloging, and digitization. This…

cs.CV2020★ 21 cited

Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning

Prathmesh Madhu, Angel Villar-Corrales, Ronak Kosti +5

Human pose estimation (HPE) is a central part of understanding the visual narration and body movements of characters depicted in artwork collections, such as Greek vase paintings.…

cs.CV2020

Understanding Compositional Structures in Art Historical Images using Pose and Gaze Priors

Prathmesh Madhu, Tilman Marquart, Ronak Kosti +3

Image compositions as a tool for analysis of artworks is of extreme significance for art historians. These compositions are useful in analyzing the interactions in an image to stud…

cs.CV2020★ 25 cited

Recognizing Characters in Art History Using Deep Learning

Prathmesh Madhu, Ronak Kosti, Lara Mührenberg +3

In the field of Art History, images of artworks and their contexts are core to understanding the underlying semantic information. However, the highly complex and sophisticated repr…

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