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Jing Xiao

4 papers hereh-index 181.1k citations66 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Jing Xiao — 127 papers, h 21
  • Jing Xiao — 62 papers, h 34
  • Jing Xiao — 11 papers, h 13
  • Jing Xiao — 5 papers, h 5
  • Jing Xiao — 5 papers, h 4
  • Jing Xiao — 5 papers, h 4

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

most citedUnsupervised Foggy Scene Understanding via Self Spatial-Temporal Label Diffusion

36 citations · 56 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2022★ 36 cited

Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label Diffusion

Liang Liao, Wenyi Chen, Jing Xiao +3

Understanding foggy image sequence in the driving scenes is critical for autonomous driving, but it remains a challenging task due to the difficulty in collecting and annotating re…

cs.CV2022★ 2 cited

Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning

Mengshun Hu, Kui Jiang, Liang Liao +3

Spatial-Temporal Video Super-Resolution (ST-VSR) aims to generate super-resolved videos with higher resolution(HR) and higher frame rate (HFR). Quite intuitively, pioneering two-st…

cs.CV2020★ 8 cited

Image Inpainting Guided by Coherence Priors of Semantics and Textures

Liang Liao, Jing Xiao, Zheng Wang +2

Existing inpainting methods have achieved promising performance in recovering defected images of specific scenes. However, filling holes involving multiple semantic categories rema…

cs.CV2020★ 10 cited

Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes

Liang Liao, Jing Xiao, Zheng Wang +2

Completing a corrupted image with correct structures and reasonable textures for a mixed scene remains an elusive challenge. Since the missing hole in a mixed scene of a corrupted…

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