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researcher

Xu Pan

State Key Lab. LIESMARS, Wuhan University

4 papers hereh-index 13 citations5 works total

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

author position
  • first author2
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO2
  • cs.CV1
  • cs.CY1
affiliations
  • State Key Lab. LIESMARS, Wuhan University
HomepageORCID 0009-0007-3297-0385
same name
  • Xu Pan — 22 papers, h 6
  • Xu Pan — 6 papers, h 2
  • Xu Pan — 1 paper, h 2
  • Xu Pan — 1 paper, h 0
  • Xu Pan — 1 paper, h 5
  • Xu Pan — 1 paper

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

collaborators

4 papers

cs.CV2026

SAMatcher: Co-Visibility Modeling with Segment Anything for Robust Feature Matching

Xu Pan, Qiyuan Ma, Mingyue Dong +3

Reliable correspondence estimation is a fundamental problem in image processing, underpinning applications such as Structure from Motion, visual localization, and image registratio…

cs.CY2026

Institutional Trust and the Domestic AI Advantage: Evidence from DeepSeek and ChatGPT Users in China

Jiashen Huang, Yu Jia, Xu Pan

Public trust in generative artificial intelligence exhibits increasingly divergent patterns across national contexts, yet prevailing research largely overlooks the macro-structural…

cs.RO2026

Towards Backdoor-Based Ownership Verification for Vision-Language-Action Models

Ming Sun, Rui Wang, Xingrui Yu +5

Vision-Language-Action models (VLAs) support generalist robotic control by enabling end-to-end decision policies directly from multi-modal inputs. As trained VLAs are increasingly…

cs.RO2026

SA-VLA: Spatially-Aware Flow-Matching for Vision-Language-Action Reinforcement Learning

Xu Pan, Zhenglin Wan, Xingrui Yu +6

Vision-Language-Action (VLA) models exhibit strong generalization in robotic manipulation, yet reinforcement learning (RL) fine-tuning often degrades robustness under spatial distr…

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