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researcher

Melissa Cote

2 papers here

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

author position
  • middle author2

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

fields
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedA Deep Learning-based Framework for the Detection of Schools of Herring in Echograms

12 citations · 13 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2020★ 1 cited

Symbol Spotting on Digital Architectural Floor Plans Using a Deep Learning-based Framework

Alireza Rezvanifar, Melissa Cote, Alexandra Branzan Albu

This papers focuses on symbol spotting on real-world digital architectural floor plans with a deep learning (DL)-based framework. Traditional on-the-fly symbol spotting methods are…

cs.LG2019★ 12 cited

A Deep Learning-based Framework for the Detection of Schools of Herring in Echograms

Alireza Rezvanifar, Tunai Porto Marques, Melissa Cote +6

Tracking the abundance of underwater species is crucial for understanding the effects of climate change on marine ecosystems. Biologists typically monitor underwater sites with ech…

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