| Min-max Entropy for Weakly Supervised Pointwise Localization S Belharbi, J Rony, J Dolz, I Ben Ayed, L McCaffrey, E Granger | 81* | 2019 |
| Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey J Rony, S Belharbi, J Dolz, IB Ayed, L McCaffrey, E Granger Machine Learning for Biomedical Imaging 2 (March 2023 issue), 96--150, 2023 | 79* | 2023 |
| Spotting L3 slice in CT scans using deep convolutional network and transfer learning S Belharbi, C Chatelain, R Hérault, S Adam, S Thureau, M Chastan, ... Computers in biology and medicine 87, 95-103, 2017 | 67 | 2017 |
| Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty S Belharbi, J Rony, J Dolz, IB Ayed, L McCaffrey, E Granger IEEE Transactions on Medical Imaging 41 (3), 702-714, 2022 | 43 | 2022 |
| Deep Active Learning for Joint Classification & Segmentation with Weak Annotator S Belharbi, I Ben Ayed, L McCaffrey, E Granger IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021 | 34 | 2021 |
| F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling S Belharbi, A Sarraf, M Pedersoli, I Ben Ayed, L McCaffrey, E Granger WACV 2022: IEEE Winter Conf. on Applications of Computer Vision, Waikoloa …, 2022 | 29 | 2022 |
| Deep multi-task learning with evolving weights S Belharbi, R Hérault, C Chatelain, S Adam ESANN, 2016 | 15 | 2016 |
| Deep ordinal classification with inequality constraints S Belharbi, I Ben Ayed, L McCaffrey, E Granger CoRR, abs, 2019 | 14* | 2019 |
| Deep neural networks regularization for structured output prediction S Belharbi, R Hérault, C Chatelain, S Adam Neurocomputing 281, 169-177, 2018 | 14 | 2018 |
| Holistic Guidance for Occluded Person Re-Identification M Kiran, RG Praveen, LT Nguyen-Meidine, S Belharbi, LA Blais-Morin, ... British Machine Vision Conference (BMVC 2021), 2021 | 13 | 2021 |
| Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization S Murtaza, S Belharbi, M Pedersoli, A Sarraf, E Granger WACVw 2023: IEEE/CVF Winter Conf. on Applications of Computer Vision …, 2023 | 11 | 2023 |
| Convolutional STN for Weakly Supervised Object Localization A Meethal, M Pedersoli, S Belharbi, E Granger International Conference on Pattern Recognition, 2021 | 11 | 2021 |
| Negative Evidence Matters in Interpretable Histology Image Classification S Belharbi, M Pedersoli, I Ben Ayed, L McCaffrey, E Granger Medical Imaging with Deep Learning (MIDL), 2022 | 10 | 2022 |
| Neural Networks Regularization Through Class-wise Invariant Representation Learning S Belharbi, C Chatelain, R Hérault, S Adam | 9 | 2017 |
| Input/Output Deep Architecture for Structured Output Problems S Belharbi, C Chatelain, R Hérault, S Adam CoRR abs/1504.07550, 2015 | 7 | 2015 |
| TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos S Belharbi, I Ben Ayed, L McCaffrey, E Granger WACV 2023: IEEE Winter Conf. on Applications of Computer Vision, Waikoloa …, 2023 | 6 | 2023 |
| Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization S Murtaza, S Belharbi, M Pedersoli, A Sarraf, E Granger Montreal AI Symposium, 2022 | 5 | 2022 |
| Neural Networks Regularization Through Representation Learning S Belharbi arXiv preprint arXiv:1807.05292, 2018 | 4 | 2018 |
| Multi-task Learning for Structured Output Prediction S Belharbi, C Chatelain, R Hérault, S Adam arXiv preprint, 2015 | 4* | 2015 |
| DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object Localization S Murtaza, S Belharbi, M Pedersoli, A Sarraf, E Granger Image and Vision Computing 140 (0262-8856), 104838, 2023 | 3 | 2023 |
Eric GrangerProfessor Systems Eng, École de technologie supérieure, FRQS Double Chair in AI/Health LIVIA REPARTIVerified email at etsmtl.ca
