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W. Woo

5 papers hereh-index 6148 citations14 works total

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

author position
  • middle author1
  • last author4

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

fields
  • cs.LG3
  • cs.CV1
  • q-bio.QM1
same name
  • W. Woo — 5 papers, h 9
  • W. Woo — 3 papers, h 4
  • W. Woo — 3 papers, h 0
  • W. Woo — 2 papers, h 10
  • W. Woo — 2 papers, h 4
  • W. Woo — 1 paper, h 3

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
20212026
most citedIs the use of Deep Learning and Artificial Intelligence an appropriate means to locate debris in the ocean without harming aquatic wildlife?

28 citations · 38 across the 5 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

cs.CV2024★ 1 cited

State of the art applications of deep learning within tracking and detecting marine debris: A survey

Zoe Moorton, Zeyneb Kurt, Wai Lok Woo

Deep learning techniques have been explored within the marine litter problem for approximately 20 years but the majority of the research has developed rapidly in the last five year…

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