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Ying-Cong Chen

9 papers hereh-index 141.3k citations20 works total

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

author position
  • first author1
  • middle author6
  • last author2

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.LG1
same name
  • Ying-Cong Chen — 16 papers, h 6
  • Ying-Cong Chen — 10 papers, h 3
  • Ying-Cong Chen — 10 papers, h 1
  • Ying-Cong Chen — 9 papers, h 4
  • Ying-Cong Chen — 9 papers, h 6
  • Ying-Cong Chen — 8 papers, h 3

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
20182022
most citedDelving into Deep Imbalanced Regression

123 citations · 159 across the 9 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 1 cited

Out-of-domain GAN inversion via Invertibility Decomposition for Photo-Realistic Human Face Manipulation

Xin Yang, Xiaogang Xu, Yingcong Chen

The fidelity of Generative Adversarial Networks (GAN) inversion is impeded by Out-Of-Domain (OOD) areas (e.g., background, accessories) in the image. Detecting the OOD areas beyond…

cs.CV2022★ 8 cited

Adaptive Domain Generalization via Online Disagreement Minimization

Xin Zhang, Ying-Cong Chen

Deep neural networks suffer from significant performance deterioration when there exists distribution shift between deployment and training. Domain Generalization (DG) aims to safe…

cs.CV2022★ 1 cited

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation

Xin Lai, Zhuotao Tian, Xiaogang Xu +5

Unsupervised domain adaptation in semantic segmentation has been raised to alleviate the reliance on expensive pixel-wise annotations. It leverages a labeled source domain dataset…

cs.CV2022★ 3 cited

Representation Compensation Networks for Continual Semantic Segmentation

Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu +2

In this work, we study the continual semantic segmentation problem, where the deep neural networks are required to incorporate new classes continually without catastrophic forgetti…

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