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researcher

Vincent Paquit

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • eess.IV1
  • stat.AP1
ORCID 0000-0003-0331-2598

identity via Semantic Scholar / OpenAlex

most citedDeep-Learning Quantitative Structural Characterization in Additive Manufacturing

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

stat.AP2025

Intelligent Manufacturing Support: Specialized LLMs for Composite Material Processing and Equipment Operation

Gunnika Kapoor, Komal Chawla, Tirthankar Ghosal +6

Engineering educational curriculum and standards cover many material and manufacturing options. However, engineers and designers are often unfamiliar with certain composite materia…

eess.IV2023

Deep learning based workflow for accelerated industrial X-ray Computed Tomography

Obaidullah Rahman, Singanallur V. Venkatakrishnan, Luke Scime +5

X-ray computed tomography (XCT) is an important tool for high-resolution non-destructive characterization of additively-manufactured metal components. XCT reconstructions of metal…

cs.CV2023★ 3 cited

Deep-Learning Quantitative Structural Characterization in Additive Manufacturing

Amra Peles, Vincent C. Paquit, Ryan R. Dehoff

With a goal of accelerating fabrication of additively manufactured components with precise microstructures, we developed a method for structural characterization of key features in…

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