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researcher

Xinru Shan

2 papers hereh-index 4139 citations12 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedA Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering

30 citations · 37 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023★ 7 cited

Robustness of Segment Anything Model (SAM) for Autonomous Driving in Adverse Weather Conditions

Xinru Shan, Chaoning Zhang

Segment Anything Model (SAM) has gained considerable interest in recent times for its remarkable performance and has emerged as a foundational model in computer vision. It has been…

cs.CV2023★ 30 cited

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering

Chaoning Zhang, Joseph Cho, Fachrina Dewi Puspitasari +11

The Segment Anything Model (SAM), developed by Meta AI Research, represents a significant breakthrough in computer vision, offering a robust framework for image and video segmentat…

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