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Jiaxing Huang

4 papers here

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV4
same name
  • Jiaxing Huang — 6 papers
  • Jiaxing Huang — 4 papers
  • Jiaxing Huang — 3 papers
  • Jiaxing Huang — 2 papers
  • Jiaxing Huang — 2 papers
  • Jiaxing Huang — 1 paper, 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 citedFBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition

5 citations · 13 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2021★ 1 cited

Domain Adaptive Video Segmentation via Temporal Consistency Regularization

Dayan Guan, Jiaxing Huang, Aoran Xiao +1

Video semantic segmentation is an essential task for the analysis and understanding of videos. Recent efforts largely focus on supervised video segmentation by learning from fully…

cs.CV2021★ 5 cited

FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition

Kaiwen Cui, Gongjie Zhang, Fangneng Zhan +2

Generative Adversarial Networks (GANs) have become the de-facto standard in image synthesis. However, without considering the foreground-background decomposition, existing GANs ten…

cs.CV2021★ 5 cited

Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment

Jiaxing Huang, Dayan Guan, Aoran Xiao +1

Contemporary domain adaptive semantic segmentation aims to address data annotation challenges by assuming that target domains are completely unannotated. However, annotating a few…

cs.CV2021★ 2 cited

RDA: Robust Domain Adaptation via Fourier Adversarial Attacking

Jiaxing Huang, Dayan Guan, Aoran Xiao +1

Unsupervised domain adaptation (UDA) involves a supervised loss in a labeled source domain and an unsupervised loss in an unlabeled target domain, which often faces more severe ove…

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