Mateusz Michalkiewicz

According to our database1, Mateusz Michalkiewicz authored at least 9 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2023
Monocular 3D reconstruction: shape representation, scalability and generalization
PhD thesis, 2023

Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021
Learning Compositional Shape Priors for Few-Shot 3D Reconstruction.
CoRR, 2021

2020
Implicitly Defined Layers in Neural Networks.
CoRR, 2020

Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors.
Proceedings of the Computer Vision - ECCV 2020, 2020

A Simple and Scalable Shape Representation for 3D Reconstruction.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Deep Level Sets: Implicit Surface Representations for 3D Shape Inference.
CoRR, 2019

Implicit Surface Representations As Layers in Neural Networks.
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.
Proceedings of the Medical Imaging 2016: Image Processing, 2016


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