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Sihan Chen

5 papers hereh-index 10862 citations18 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
  • cs.LG1
same name
  • Sihan Chen — 7 papers, h 3
  • Sihan Chen — 5 papers, h 4
  • Sihan Chen — 5 papers, h 5
  • Sihan Chen — 3 papers, h 2
  • Sihan Chen — 2 papers, h 0
  • Sihan Chen — 2 papers, h 2

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
20242026
collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

UniFixer: A Universal Reference-Guided Fixer for Diffusion-Based View Synthesis

Sihan Chen, Xiang Zhang, Yang Zhang +2

With the recent surge of generative models, diffusion-based approaches have become mainstream for view synthesis tasks, either in an explicit depth-warp-inpaint or in an implicit e…

cs.CV2024

EAVL: Explicitly Align Vision and Language for Referring Image Segmentation

Yichen Yan, Xingjian He, Wenxuan Wang +2

Referring image segmentation (RIS) aims to segment an object mentioned in natural language from an image. The main challenge is text-to-pixel fine-grained correlation. In the previ…

cs.CV2024

Fuse & Calibrate: A bi-directional Vision-Language Guided Framework for Referring Image Segmentation

Yichen Yan, Xingjian He, Sihan Chen +2

Referring Image Segmentation (RIS) aims to segment an object described in natural language from an image, with the main challenge being a text-to-pixel correlation. Previous method…

cs.CV2024

Calibration & Reconstruction: Deep Integrated Language for Referring Image Segmentation

Yichen Yan, Xingjian He, Sihan Chen +1

Referring image segmentation aims to segment an object referred to by natural language expression from an image. The primary challenge lies in the efficient propagation of fine-gra…

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