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researcher

David Griffiths

2 papers here

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2
ORCID 0000-0002-8582-138X

identity via Semantic Scholar / OpenAlex

most citedA review on deep learning techniques for 3D sensed data classification

153 citations · 202 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2019★ 49 cited

SynthCity: A large scale synthetic point cloud

David Griffiths, Jan Boehm

With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training da…

cs.CV2019★ 153 cited

A review on deep learning techniques for 3D sensed data classification

David Griffiths, Jan Boehm

Over the past decade deep learning has driven progress in 2D image understanding. Despite these advancements, techniques for automatic 3D sensed data understanding, such as point c…

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