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researcher

Klaus H. Strobl

2 papers hereh-index 151.2k citations35 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedSegmentation of Surgical Instruments for Minimally-Invasive Robot-Assisted Procedures Using Generative Deep Neural Networks

4 citations · 4 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2020

DOT: Dynamic Object Tracking for Visual SLAM

Irene Ballester, Alejandro Fontan, Javier Civera +2

In this paper we present DOT (Dynamic Object Tracking), a front-end that added to existing SLAM systems can significantly improve their robustness and accuracy in highly dynamic en…

cs.CV2020★ 4 cited

Segmentation of Surgical Instruments for Minimally-Invasive Robot-Assisted Procedures Using Generative Deep Neural Networks

Iñigo Azqueta-Gavaldon, Florian Fröhlich, Klaus Strobl +1

This work proves that semantic segmentation on minimally invasive surgical instruments can be improved by using training data that has been augmented through domain adaptation. The…

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