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researcher

Matias Valdenegro-Toro

7 papers hereh-index 4178 citations7 works total

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

author position
  • first author2
  • last author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.LG1
  • cs.RO1
same name
  • Matias Valdenegro-Toro — 27 papers, h 6
  • Matias Valdenegro-Toro — 10 papers, h 6
  • Matias Valdenegro-Toro — 9 papers, h 3
  • Matias Valdenegro-Toro — 6 papers, h 3
  • Matias Valdenegro-Toro — 4 papers, h 6
  • Matias Valdenegro-Toro — 3 papers, h 3

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
20212025
most citedThe Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation

1 citations · 3 across the 6 of their papers we have counts for

collaborators
Showing 2021 · cs.CVShow all

3 papers · 2 filters

cs.CV2021★ 1 cited

The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation

Deepak Singh, Matias Valdenegro-Toro

Accurate detection and segmentation of marine debris is important for keeping the water bodies clean. This paper presents a novel dataset for marine debris segmentation collected u…

cs.CV2021

Pre-trained Models for Sonar Images

Matias Valdenegro-Toro, Alan Preciado-Grijalva, Bilal Wehbe

Machine learning and neural networks are now ubiquitous in sonar perception, but it lags behind the computer vision field due to the lack of data and pre-trained models specificall…

cs.CV2021

Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty

Arka Mallick, Paul Plöger, Matias Valdenegro-Toro

Application of underwater robots are on the rise, most of them are dependent on sonar for underwater vision, but the lack of strong perception capabilities limits them in this task…

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