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researcher

Max Ehrlich

NVIDIA;University of Maryland

7 papers hereh-index 8579 citations17 works total

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

author position
  • sole author1
  • first author3
  • middle author3

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

fields
  • cs.CV4
  • eess.IV2
  • cs.LG1
affiliations
  • NVIDIA;University of Maryland
Homepage

identity via Semantic Scholar / OpenAlex

activity
20162022
most citedUnsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer

5 citations · 7 across the 3 of their papers we have counts for

collaborators
Showing 2022Show all

1 paper · 1 filter

eess.IV2022

The First Principles of Deep Learning and Compression

Max Ehrlich

The deep learning revolution incited by the 2012 Alexnet paper has been transformative for the field of computer vision. Many problems which were severely limited using classical s…

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