Luke McCaffrey

According to our database, Luke McCaffrey authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution.

Soufiane Belharbi, Mara KM Whitford, Phuong Hoang, Shakeeb Murtaza, Luke McCaffrey, Eric Granger

CoRR, 2024

Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology.

Alexis Guichemerre, Soufiane Belharbi, Tsiry Mayet, Shakeeb Murtaza, Pourya Shamsolmoali, Luke McCaffrey, Eric Granger

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos.

Soufiane Belharbi, Shakeeb Murtaza, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

CoRR, 2023

TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos.

Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

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

Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

IEEE Trans. Medical Imaging, 2022

Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images.

Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

CoRR, 2022

F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling.

Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Negative Evidence Matters in Interpretable Histology Image Classification.

Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021

F-CAM: Full Resolution CAM via Guided Parametric Upscaling.

Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

CoRR, 2021

Deep Active Learning for Joint Classification & Segmentation with Weak Annotator.

Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2019

Deep Ordinal Classification with Inequality Constraints.

Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

CoRR, 2019

Deep weakly-supervised learning methods for classification and localization in histology images: a survey.

Jérôme Rony, Soufiane Belharbi, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

CoRR, 2019

Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework.

Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

CoRR, 2019