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researcher

Xing Xu

11 papers hereh-index 7250 citations24 works total

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

author position
  • middle author7
  • last author2

Across the 9 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.AI2
  • cs.RO2
  • cs.CL1
same name
  • Xing Xu — 15 papers, h 42
  • Xing Xu — 8 papers, h 5
  • Xing Xu — 6 papers, h 4
  • Xing Xu — 5 papers, h 6
  • Xing Xu — 4 papers, h 1
  • Xing Xu — 3 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
20232026
most citedBatchNorm-based Weakly Supervised Video Anomaly Detection

4 citations · 5 across the 10 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

GeoState: Learning View-Decoupled Geometry States for 3D World Modeling

Hongchang Liu, Jian Liu, Yujuan Ding +5

Recent 3D world models increasingly use features from geometry foundation models (GFMs) as predictive world states, benefiting from their rich geometric priors. However, the view d…

cs.AI2026

The Ebb and Flow of Multimodal Focus: Scheduling Visual Relay Windows for Grounded VLM Reasoning

Wencheng Ye, Yi Bin, Yujuan Ding +7

Vision-language models increasingly succeed on multimodal reasoning benchmarks, yet their visual evidence often becomes unstable once it enters the language stack, weakening eviden…

cs.CV2026

Multimodal Learning on Low-Quality Data with Conformal Predictive Self-Calibration

Xun Jiang, Yufan Gu, Disen Hu +5

Multimodal learning often grapples with the challenge of low-quality data, which predominantly manifests as two facets: modality imbalance and noisy corruption. While these issues…

cs.RO2026

Language-Grounded Decoupled Action Representation for Robotic Manipulation

Wuding Weng, Tongshu Wu, Liucheng Chen +5

The heterogeneity between high-level vision-language understanding and low-level action control remains a fundamental challenge in robotic manipulation. Although recent methods hav…

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