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Jiayu Sun

5 papers hereh-index 10598 citations22 works total

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

author position
  • first author1
  • middle author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV1
same name
  • Jiayu Sun — 1 paper, h 19
  • Jiayu Sun — 1 paper, h 1
  • Jiayu Sun — 1 paper, h 4
  • Jiayu Sun — 1 paper, h 7

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
20202024
most citedMODNet-V: Improving Portrait Video Matting via Background Restoration

5 citations · 11 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024

Spatial Semantic Recurrent Mining for Referring Image Segmentation

Jiaxing Yang, Lihe Zhang, Jiayu Sun +1

Referring Image Segmentation (RIS) consistently requires language and appearance semantics to more understand each other. The need becomes acute especially under hard situations. T…

cs.CV2021★ 5 cited

MODNet-V: Improving Portrait Video Matting via Background Restoration

Jiayu Sun, Zhanghan Ke, Lihe Zhang +2

To address the challenging portrait video matting problem more precisely, existing works typically apply some matting priors that require additional user efforts to obtain, such as…

cs.CV2021

Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection

Kecheng Chen, Kun Long, Yazhou Ren +2

Deep learning has achieved notable performance in the denoising task of low-quality medical images and the detection task of lesions, respectively. However, existing low-quality me…

cs.CV2020★ 5 cited

MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition

Zhanghan Ke, Jiayu Sun, Kaican Li +2

Existing portrait matting methods either require auxiliary inputs that are costly to obtain or involve multiple stages that are computationally expensive, making them less suitable…

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