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Xiao-Ming Wu

19 papers hereh-index 11460 citations23 works total

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

author position
  • first author3
  • middle author16

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.RO10
  • cs.CV9
same name
  • Xiao-Ming Wu — 23 papers, h 25
  • Xiao-Ming Wu — 21 papers, h 12
  • Xiao-Ming Wu — 19 papers, h 8
  • Xiao-Ming Wu — 9 papers, h 7
  • Xiao-Ming Wu — 8 papers, h 4
  • Xiao-Ming Wu — 3 papers, h 4

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 citedDiffuVolume: Diffusion Model for Volume based Stereo Matching

6 citations · 17 across the 18 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

Puffin-World: Scaling a Unified Multimodal Model with Native 3D World States

Kang Liao, Yihang Luo, Xiao-Ming Wu +7

We propose Puffin-World, a unified multimodal architecture that integrates physical understanding, spatial simulation, and 3D world generation and reconstruction without relying on…

cs.RO2026

HATS: A Human-Agent Teleoperation System for Multi-Arm Data Collection

Zesen Lin, Jian-Jian Jiang, Haoming Cen +3

Many real-world manipulation scenarios, such as handling complex collaborative tasks and dealing with large workspaces, require coordination of more than two robotic arms. Conseque…

cs.RO2026

Task Editing for Generalizable 3D Visuomotor Policy Learning

Jian-Jian Jiang, YiHan Yang, Lan Wei +6

3D visuomotor policies offer a promising direction for complex robotic manipulation, as depth maps and point clouds provide rich geometric information for spatial reasoning. Howeve…

cs.CV2026

VLANeXt Family: A Systematic Study of VLA Models from Core Recipes to Emerging Paradigms

Xiao-Ming Wu, Bin Fan, Kang Liao +6

Following the rise of large foundation models, Vision-Language-Action models (VLAs) emerged, leveraging strong visual and language understanding from Vision-Language Models for gen…

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