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Paul Bodesheim

4 papers here

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

author position
  • middle author4

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

fields
  • cs.CV3
  • stat.ML1
ORCID 0000-0002-3564-6528

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedDeep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification

10 citations · 17 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2023★ 5 cited

Automated Visual Monitoring of Nocturnal Insects with Light-based Camera Traps

Dimitri Korsch, Paul Bodesheim, Gunnar Brehm +1

Automatic camera-assisted monitoring of insects for abundance estimations is crucial to understand and counteract ongoing insect decline. In this paper, we present two datasets of…

cs.CV2023★ 10 cited

Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification

Dimitri Korsch, Paul Bodesheim, Joachim Denzler

Biodiversity monitoring is crucial for tracking and counteracting adverse trends in population fluctuations. However, automatic recognition systems are rarely applied so far, and e…

cs.CV2014★ 1 cited

Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods

Alexander Freytag, Johannes Rühle, Paul Bodesheim +2

Vector-quantized local features frequently used in bag-of-visual-words approaches are the backbone of popular visual recognition systems due to both their simplicity and their perf…

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