Shape Reconstruction by Learning Differentiable Surface Representations

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Shape Reconstruction by Learning Differentiable Surface Representations

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Understanding generalization and robustness in modern deep learning

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ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

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Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Random matrix methods for high-dimensional machine learning models

Deep Learning for 3D Surface Modelling and Reconstruction

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Topologically Better Delineation of Curvilinear Structures

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3D reconstruction of curvilinear one-dimensional objects viewed in transmission electron microscopy

Robust Training and Verification of Deep Neural Networks