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Mateusz Michalkiewicz
Mateusz Michalkiewicz
Verified email at uq.net.au
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Implicit surface representations as layers in neural networks
M Michalkiewicz, JK Pontes, D Jack, M Baktashmotlagh, A Eriksson
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
2472019
Deep level sets: Implicit surface representations for 3d shape inference
M Michalkiewicz, JK Pontes, D Jack, M Baktashmotlagh, A Eriksson
arXiv preprint arXiv:1901.06802, 2019
1232019
Few-shot single-view 3-d object reconstruction with compositional priors
M Michalkiewicz, S Parisot, S Tsogkas, M Baktashmotlagh, A Eriksson, ...
European Conference on Computer Vision, 614-630, 2020
242020
Implicitly defined layers in neural networks
Q Zhang, Y Gu, M Mateusz, M Baktashmotlagh, A Eriksson
arXiv preprint arXiv:2003.01822, 2020
102020
A simple and scalable shape representation for 3d reconstruction
M Michalkiewicz, E Belilovsky, M Baktashmotlagh, A Eriksson
arXiv preprint arXiv:2005.04623, 2020
82020
Deep level sets: Implicit surface representations for 3d shape inference. arXiv 2019
M Michalkiewicz, JK Pontes, D Jack, M Baktashmotlagh, A Eriksson
arXiv preprint arXiv:1901.06802, 0
5
Learning Compositional Shape Priors for Few-Shot 3D Reconstruction
M Michalkiewicz, S Tsogkas, S Parisot, M Baktashmotlagh, A Eriksson, ...
arXiv preprint arXiv:2106.06440, 2021
12021
Monocular 3D reconstruction: shape representation, scalability and generalization
M Michalkiewicz
2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters
M Michalkiewicz, M Faraki, X Yu, M Chandraker, M Baktashmotlagh
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
2023
Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation
M Michalkiewicz, A Pai, KK Leung, S Sommer, S Darkner, L Sørensen, ...
Medical Imaging 2016: Image Processing 9784, 37-42, 2016
2016
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Articles 1–10