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researcher

Máté Tóth

8 papers hereh-index 9346 citations21 works total

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

author position
  • first author1
  • middle author6

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • eess.SP7
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedResource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation

58 citations · 113 across the 8 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

eess.SP2020★ 47 cited

Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals

Johanna Rock, Mate Toth, Paul Meissner +1

Radar sensors are crucial for environment perception of driver assistance systems as well as autonomous cars. Key performance factors are a fine range resolution and the possibilit…

eess.SP2020★ 3 cited

Quantized Neural Networks for Radar Interference Mitigation

Johanna Rock, Wolfgang Roth, Paul Meissner +1

Radar sensors are crucial for environment perception of driver assistance systems as well as autonomous vehicles. Key performance factors are weather resistance and the possibility…

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