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Eli Shechtman

Adobe Research

79 papers hereh-index 7352.2k citations162 works total

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

author position
  • middle author67
  • last author11

Across the 78 of 79 papers where every author was matched, so the position is known.

fields
  • cs.CV74
  • cs.GR3
  • cs.LG1
  • cs.SI1
affiliations
  • Adobe Research
Homepage
same name
  • Eli Shechtman — 27 papers, h 16
  • Eli Shechtman — 8 papers, h 5
  • Eli Shechtman — 4 papers, h 3
  • Eli Shechtman — 3 papers

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
20122023
most citedToward Multimodal Image-to-Image Translation

1k citations · 3.1k across the 67 of their papers we have counts for

collaborators
Showing 2018 · cs.CVShow all

4 papers · 2 filters

cs.CV2018

Localizing Moments in Video with Temporal Language

Lisa Anne Hendricks, Oliver Wang, Eli Shechtman +3

Localizing moments in a longer video via natural language queries is a new, challenging task at the intersection of language and video understanding. Though moment localization wit…

cs.CV2018★ 1 cited

Learning Blind Video Temporal Consistency

Wei-Sheng Lai, Jia-Bin Huang, Oliver Wang +3

Applying image processing algorithms independently to each frame of a video often leads to undesired inconsistent results over time. Developing temporally consistent video-based ex…

cs.CV2018★ 39 cited

ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing

Chen-Hsuan Lin, Ersin Yumer, Oliver Wang +2

We address the problem of finding realistic geometric corrections to a foreground object such that it appears natural when composited into a background image. To achieve this, we p…

cs.CV2018★ 816 cited

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Richard Zhang, Phillip Isola, Alexei A. Efros +2

While it is nearly effortless for humans to quickly assess the perceptual similarity between two images, the underlying processes are thought to be quite complex. Despite this, the…

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