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Lin Chen

8 papers hereh-index 6409 citations10 works total

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

author position
  • first author4
  • middle author3

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.CR1
  • eess.IV1
same name
  • Lin Chen — 77 papers, h 23
  • Lin Chen — 25 papers, h 17
  • Lin Chen — 22 papers, h 9
  • Lin Chen — 20 papers, h 9
  • Lin Chen — 18 papers, h 9
  • Lin Chen — 17 papers, h 14

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
20192023
most citedDeliberated Domain Bridging for Domain Adaptive Semantic Segmentation

16 citations · 32 across the 8 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 1 cited

Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation

Zhixiang Wei, Lin Chen, Yi Jin +6

In this paper, we first assess and harness various Vision Foundation Models (VFMs) in the context of Domain Generalized Semantic Segmentation (DGSS). Driven by the motivation that…

cs.CV2023

Disentangle then Parse:Night-time Semantic Segmentation with Illumination Disentanglement

Zhixiang Wei, Lin Chen, Tao Tu +3

Most prior semantic segmentation methods have been developed for day-time scenes, while typically underperforming in night-time scenes due to insufficient and complicated lighting…

cs.CV2023★ 2 cited

FreeDrag: Feature Dragging for Reliable Point-based Image Editing

Pengyang Ling, Lin Chen, Pan Zhang +3

To serve the intricate and varied demands of image editing, precise and flexible manipulation in image content is indispensable. Recently, Drag-based editing methods have gained im…

cs.CV2023

Model Doctor for Diagnosing and Treating Segmentation Error

Zhijie Jia, Lin Chen, Kaiwen Hu +3

Despite the remarkable progress in semantic segmentation tasks with the advancement of deep neural networks, existing U-shaped hierarchical typical segmentation networks still suff…

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