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Apple (United Kingdom)

United Kingdom

2 papers here9 citations across 2
fields
  • cs.CV1
  • cs.GR1
ROR 01vpeym60OpenAlex

affiliations via OpenAlex

most citedVAE-Info-cGAN: Generating Synthetic Images by Combining Pixel-level and Feature-level Geospatial Conditional Inputs

9 citations

researchers with a paper here
  • Deepak Tolani1 · h 4
  • Michael Hutchinson1 · h 3
  • Serguei Kalentchouk1
  • Swetava Ganguli1 · h 9
  • Vipul Pandey1 · h 4
  • Xuerong Xiao1
collaborating institutions
  • Stanford UniversityUS1 paper
Showing cs.CVShow all

1 paper · 1 filter

cs.CV2020★ 9 cited

VAE-Info-cGAN: Generating Synthetic Images by Combining Pixel-level and Feature-level Geospatial Conditional Inputs

Xuerong Xiao, Swetava Ganguli, Vipul Pandey

Training robust supervised deep learning models for many geospatial applications of computer vision is difficult due to dearth of class-balanced and diverse training data. Converse…

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