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Rene Bidart
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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
2762020
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
142018
Affine variational autoencoders
R Bidart, A Wong
Image Analysis and Recognition: 16th International Conference, ICIAR 2019 …, 2019
92019
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
82022
Triresnet: A deep triple-stream residual network for histopathology grading
R Bidart, A Wong
Image Analysis and Recognition: 16th International Conference, ICIAR 2019 …, 2019
42019
Disentangling shape and orientation with affine variational autoencoders
R Bidart, A Wong
Journal of Computational Vision and Imaging Systems 7 (1), 1-3, 2021
12021
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
12018
Representational Redundancy Reduction Strategies for Efficient Neural Network Architectures for Visual and Language Tasks
R Bidart
University of Waterloo, 2023
2023
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Articles 1–8