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Junlin Han

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23 papers hereh-index 13922 citations27 works total

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

author position
  • first author9
  • middle author14

Across the 23 of 23 papers where every author was matched, so the position is known.

fields
  • cs.CV22
  • eess.IV1
affiliations
  • Meta
  • University of Oxford
Homepage
same name
  • Junlin Han — 9 papers, h 5
  • Junlin Han — 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
20212026
most citedDual Contrastive Learning for Unsupervised Image-to-Image Translation

15 citations · 58 across the 22 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021

Blind Image Decomposition

Junlin Han, Weihao Li, Pengfei Fang +5

We propose and study a novel task named Blind Image Decomposition (BID), which requires separating a superimposed image into constituent underlying images in a blind setting, that…

eess.IV2021★ 5 cited

Underwater Image Restoration via Contrastive Learning and a Real-world Dataset

Junlin Han, Mehrdad Shoeiby, Tim Malthus +7

Underwater image restoration is of significant importance in unveiling the underwater world. Numerous techniques and algorithms have been developed in the past decades. However, du…

cs.CV2021★ 15 cited

Dual Contrastive Learning for Unsupervised Image-to-Image Translation

Junlin Han, Mehrdad Shoeiby, Lars Petersson +1

Unsupervised image-to-image translation tasks aim to find a mapping between a source domain X and a target domain Y from unpaired training data. Contrastive learning for Unpaired i…

cs.CV2021★ 6 cited

Single Underwater Image Restoration by Contrastive Learning

Junlin Han, Mehrdad Shoeiby, Tim Malthus +6

Underwater image restoration attracts significant attention due to its importance in unveiling the underwater world. This paper elaborates on a novel method that achieves state-of-…

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