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 | 247 | 2019 |
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 | 124 | 2019 |
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 | 24 | 2020 |
Implicitly defined layers in neural networks Q Zhang, Y Gu, M Mateusz, M Baktashmotlagh, A Eriksson arXiv preprint arXiv:2003.01822, 2020 | 11 | 2020 |
A simple and scalable shape representation for 3d reconstruction M Michalkiewicz, E Belilovsky, M Baktashmotlagh, A Eriksson arXiv preprint arXiv:2005.04623, 2020 | 8 | 2020 |
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 | 1 | 2021 |
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 |