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Jing Liao

59 papers hereh-index 437.9k citations77 works total

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

author position
  • first author1
  • middle author36
  • last author22

Across the 59 of 59 papers where every author was matched, so the position is known.

fields
  • cs.CV54
  • cs.CR2
  • cs.MM2
  • cs.GR1
same name
  • Jing Liao — 12 papers, h 4
  • Jing Liao — 8 papers, h 5
  • Jing Liao — 8 papers, h 4
  • Jing Liao — 7 papers, h 6
  • Jing Liao — 6 papers, h 4
  • Jing Liao — 5 papers, h 6

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
20172023
most citedPoison Ink: Robust and Invisible Backdoor Attack

120 citations · 907 across the 57 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.CV2017★ 1 cited

Progressive Color Transfer with Dense Semantic Correspondences

Mingming He, Jing Liao, Dongdong Chen +2

We propose a new algorithm for color transfer between images that have perceptually similar semantic structures. We aim to achieve a more accurate color transfer that leverages sem…

cs.CV2017★ 32 cited

Visual Attribute Transfer through Deep Image Analogy

Jing Liao, Yuan Yao, Lu Yuan +2

We propose a new technique for visual attribute transfer across images that may have very different appearance but have perceptually similar semantic structure. By visual attribute…

cs.CV2017★ 39 cited

Coherent Online Video Style Transfer

Dongdong Chen, Jing Liao, Lu Yuan +2

Training a feed-forward network for fast neural style transfer of images is proven to be successful. However, the naive extension to process video frame by frame is prone to produc…

cs.CV2017★ 74 cited

StyleBank: An Explicit Representation for Neural Image Style Transfer

Dongdong Chen, Lu Yuan, Jing Liao +2

We propose StyleBank, which is composed of multiple convolution filter banks and each filter bank explicitly represents one style, for neural image style transfer. To transfer an i…

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