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Melissa Cote

4 papers hereh-index 11382 citations41 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedA Deep Learning-based Framework for the Detection of Schools of Herring in Echograms

12 citations · 13 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2026

TubeLite: Lightweight Multi-Actor Spatio-Temporal Action Detection

Ali Soltaninezhad, Melissa Cote, Alejandro Rico Espinosa +2

Spatio-temporal action detection in videos requires jointly localizing actors in space and identifying action boundaries over time. A common challenge is constructing temporally st…

cs.CV2025

Exploring text-to-image generation for historical document image retrieval

Melissa Cote, Alexandra Branzan Albu

Attribute-based document image retrieval (ABDIR) was recently proposed as an alternative to query-by-example (QBE) searches, the dominant document image retrieval (DIR) paradigm. O…

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…

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