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Richard Zhang

Adobe Research

22 papers hereh-index 2330.7k citations39 works total

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

author position
  • sole author1
  • first author4
  • middle author15
  • last author2

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV17
  • cs.GR2
  • eess.AS2
  • cs.LG1
affiliations
  • Adobe Research
HomepageORCID 0000-0003-2507-4674
same name
  • Richard Zhang — 23 papers, h 19
  • Richard Zhang — 15 papers, h 13
  • Richard Zhang — 5 papers, h 2
  • Richard Zhang — 4 papers, h 4
  • Richard Zhang — 4 papers, h 2
  • Richard Zhang — 2 papers, h 2

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
20162022
most citedToward Multimodal Image-to-Image Translation

1k citations · 2.9k across the 19 of their papers we have counts for

collaborators
Showing 2019 · cs.CVShow all

4 papers · 2 filters

cs.CV2019★ 44 cited

CNN-generated images are surprisingly easy to spot... for now

Sheng-Yu Wang, Oliver Wang, Richard Zhang +2

In this work we ask whether it is possible to create a "universal" detector for telling apart real images from these generated by a CNN, regardless of architecture or dataset used.…

cs.CV2019★ 16 cited

Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation

Arnab Ghosh, Richard Zhang, Puneet K. Dokania +4

We propose an interactive GAN-based sketch-to-image translation method that helps novice users create images of simple objects. As the user starts to draw a sketch of a desired obj…

cs.CV2019★ 27 cited

Detecting Photoshopped Faces by Scripting Photoshop

Sheng-Yu Wang, Oliver Wang, Andrew Owens +2

Most malicious photo manipulations are created using standard image editing tools, such as Adobe Photoshop. We present a method for detecting one very popular Photoshop manipulatio…

cs.CV2019★ 378 cited

Making Convolutional Networks Shift-Invariant Again

Richard Zhang

Modern convolutional networks are not shift-invariant, as small input shifts or translations can cause drastic changes in the output. Commonly used downsampling methods, such as ma…

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