Mateusz Michalkiewicz

According to our database, Mateusz Michalkiewicz authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DRAGON: Drone and Ground Gaussian Splatting for 3D Building Reconstruction.

Yujin Ham, Mateusz Michalkiewicz, Guha Balakrishnan

Proceedings of the IEEE International Conference on Computational Photography, 2024

2023

Monocular 3D reconstruction: shape representation, scalability and generalization

Mateusz Michalkiewicz

PhD thesis, 2023

Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters.

Mateusz Michalkiewicz, Masoud Faraki, Xiang Yu, Manmohan Chandraker, Mahsa Baktashmotlagh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Learning Compositional Shape Priors for Few-Shot 3D Reconstruction.

Mateusz Michalkiewicz, Stavros Tsogkas, Sarah Parisot, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky

CoRR, 2021

2020

Implicitly Defined Layers in Neural Networks.

Qianggong Zhang, Yanyang Gu, Mateusz Michalkiewicz, Mahsa Baktashmotlagh, Anders P. Eriksson

CoRR, 2020

Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors.

Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky

Proceedings of the Computer Vision - ECCV 2020, 2020

A Simple and Scalable Shape Representation for 3D Reconstruction.

Mateusz Michalkiewicz, Eugene Belilovsky, Mahsa Baktashmotlagh, Anders P. Eriksson

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Deep Level Sets: Implicit Surface Representations for 3D Shape Inference.

Mateusz Michalkiewicz, Jhony K. Pontes, Dominic Jack, Mahsa Baktashmotlagh, Anders P. Eriksson

CoRR, 2019

Implicit Surface Representations As Layers in Neural Networks.

Mateusz Michalkiewicz, Jhony Kaesemodel Pontes, Dominic Jack, Mahsa Baktashmotlagh, Anders P. Eriksson

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2016

Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation.

Mateusz Michalkiewicz, Akshay Pai, Kelvin K. Leung, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen

Proceedings of the Medical Imaging 2016: Image Processing, 2016