output
20162023
most citedMulti-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks

79 citations

7 papers

cs.CV2023★ 7 cited

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…

cs.CV2020★ 10 cited

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…

cs.CV2018★ 79 cited

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…

cs.CV2018★ 67 cited

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…

cs.CV2018★ 4 cited

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…

cs.CV2016★ 64 cited

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.…

cs.LG2016★ 40 cited

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…