79 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- École de Technologie SupérieureCA6 papers
- Universidade Federal do ParanáBR3 papers
- Université du Québec à MontréalCA2 papers
- Air Force Medical UniversityCN1 paper
- Artificial Intelligence in Medicine (Canada)CA1 paper
- Ericsson (Canada)CA1 paper
- Institut National des Sciences Appliquées Rouen NormandieFR1 paper
- Laboratoire d'Informatique, du Traitement de l'Information et des SystèmesFR1 paper
- Pontifícia Universidade Católica do ParanáBR1 paper
- Université de Rouen NormandieFR1 paper
- Université LavalCA1 paper
- Xidian UniversityCN1 paper
7 papers
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object Localization
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli +2
Self-supervised vision transformers (SSTs) have shown great potential to yield rich localization maps that highlight different objects in an image. However, these maps remain class…
An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings
Andre G. Hochuli, Alceu S. Britto, Jean P. Barddal +2
An end-to-end solution for handwritten numeral string recognition is proposed, in which the numeral string is considered as composed of objects automatically detected and recognize…
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks
Jose Dolz, Xiaopan Xu, Jerome Rony +7
Precise segmentation of bladder walls and tumor regions is an essential step towards non-invasive identification of tumor stage and grade, which is critical for treatment decision…
Fixed-sized representation learning from Offline Handwritten Signatures of different sizes
Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira
Methods for learning feature representations for Offline Handwritten Signature Verification have been successfully proposed in recent literature, using Deep Convolutional Neural Ne…
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images
Hongliu Cao, Simon Bernard, Laurent Heutte +1
Breast cancer is one of the most common types of cancer and leading cancer-related death causes for women. In the context of ICIAR 2018 Grand Challenge on Breast Cancer Histology I…
Analyzing features learned for Offline Signature Verification using Deep CNNs
Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira
Research on Offline Handwritten Signature Verification explored a large variety of handcrafted feature extractors, ranging from graphology, texture descriptors to interest points.…
Bayesian Hyperparameter Optimization for Ensemble Learning
Julien-Charles Lévesque, Christian Gagné, Robert Sabourin
In this paper, we bridge the gap between hyperparameter optimization and ensemble learning by performing Bayesian optimization of an ensemble with regards to its hyperparameters. O…