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Luke McCaffrey

16 papers hereh-index 9306 citations23 works total

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

author position
  • middle author15

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • eess.IV3
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedNegative Evidence Matters in Interpretable Histology Image Classification

6 citations · 9 across the 12 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

cs.CV2020

Deep Active Learning for Joint Classification & Segmentation with Weak Annotator

Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey +1

CNN visualization and interpretation methods, like class-activation maps (CAMs), are typically used to highlight the image regions linked to class predictions. These models allow t…

cs.CV2020

Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty

Soufiane Belharbi, Jérôme Rony, Jose Dolz +3

Weakly-supervised learning (WSL) has recently triggered substantial interest as it mitigates the lack of pixel-wise annotations. Given global image labels, WSL methods yield pixel-…

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