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Seoung Wug Oh

37 papers hereh-index 213.9k citations53 works total

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

author position
  • first author4
  • middle author33

Across the 37 of 37 papers where every author was matched, so the position is known.

fields
  • cs.CV36
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedApproaching the Computational Color Constancy as a Classification Problem through Deep Learning

99 citations · 223 across the 30 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019

Copy-and-Paste Networks for Deep Video Inpainting

Sungho Lee, Seoung Wug Oh, DaeYeun Won +1

We present a novel deep learning based algorithm for video inpainting. Video inpainting is a process of completing corrupted or missing regions in videos. Video inpainting has addi…

cs.CV2019

Onion-Peel Networks for Deep Video Completion

Seoung Wug Oh, Sungho Lee, Joon-Young Lee +1

We propose the onion-peel networks for video completion. Given a set of reference images and a target image with holes, our network fills the hole by referring the contents in the…

cs.CV2019★ 1 cited

Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks

Seoung Wug Oh, Joon-Young Lee, Ning Xu +1

We present a deep learning method for the interactive video object segmentation. Our method is built upon two core operations, interaction and propagation, and each operation is co…

cs.CV2019

Video Object Segmentation using Space-Time Memory Networks

Seoung Wug Oh, Joon-Young Lee, Ning Xu +1

We propose a novel solution for semi-supervised video object segmentation. By the nature of the problem, available cues (e.g. video frame(s) with object masks) become richer with t…

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