Squeeze-and-attention networks for semantic segmentation Z Zhong, ZQ Lin, R Bidart, X Hu, IB Daya, Z Li, WS Zheng, J Li, A Wong Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 280 | 2020 |
Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks R Bidart, MJ Gangeh, M Peikari, S Salama, S Nofech-Mozes, AL Martel, ... Medical Imaging 2018: Digital Pathology 10581, 191-198, 2018 | 14 | 2018 |
Affine variational autoencoders R Bidart, A Wong Image Analysis and Recognition: 16th International Conference, ICIAR 2019 …, 2019 | 9 | 2019 |
Pyramid-BERT: Reducing complexity via successive core-set based token selection X Huang, A Khetan, R Bidart, Z Karnin arXiv preprint arXiv:2203.14380, 2022 | 8 | 2022 |
Triresnet: A deep triple-stream residual network for histopathology grading R Bidart, A Wong Image Analysis and Recognition: 16th International Conference, ICIAR 2019 …, 2019 | 4 | 2019 |
Disentangling shape and orientation with affine variational autoencoders R Bidart, A Wong Journal of Computational Vision and Imaging Systems 7 (1), 1-3, 2021 | 1 | 2021 |
MonolithNet: Training monolithic deep neural networks via a partitioned training strategy R Bidart, A Wong Journal of Computational Vision and Imaging Systems 4 (1), 3-3, 2018 | 1 | 2018 |
Representational Redundancy Reduction Strategies for Efficient Neural Network Architectures for Visual and Language Tasks R Bidart University of Waterloo, 2023 | | 2023 |