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Meng Wei

5 papers hereh-index 439 citations8 works total

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

author position
  • first author2
  • middle author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV5
same name
  • Meng Wei — 9 papers, h 6
  • Meng Wei — 9 papers, h 4
  • Meng Wei — 6 papers, h 5
  • Meng Wei — 5 papers, h 7
  • Meng Wei — 4 papers, h 4
  • Meng Wei — 4 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
20242026
most citedComparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge

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

collaborators
Showing 2025Show all

3 papers · 1 filter

cs.CV2025

Grounding Surgical Action Triplets with Instrument Instance Segmentation: A Dataset and Target-Aware Fusion Approach

Oluwatosin Alabi, Meng Wei, Charlie Budd +2

Understanding surgical instrument-tissue interactions requires not only identifying which instrument performs which action on which anatomical target, but also grounding these inte…

cs.CV2025

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation

Meng Wei, Charlie Budd, Oluwatosin Alabi +2

Consistent surgical instrument segmentation is critical for automation in robot-assisted surgery. Yet, existing methods only treat instrument-level instance segmentation (IIS) or p…

cs.CV2025★ 4 cited

Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge

Tobias Rueckert, David Rauber, Raphaela Maerkl +58

Reliable recognition and localization of surgical instruments in endoscopic video recordings are foundational for a wide range of applications in computer- and robot-assisted minim…

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