Philip Marcus

According to our database1, Philip Marcus authored at least 5 papers between 2017 and 2020.

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Bibliography

2020
MeshfreeFlowNet: a physics-constrained deep continuous space-time super-resolution framework.
Proceedings of the International Conference for High Performance Computing, 2020

2019
Convolutional Neural Networks on Non-uniform Geometrical Signals Using Euclidean Spectral Transformation.
Proceedings of the 7th International Conference on Learning Representations, 2019

Spherical CNNs on Unstructured Grids.
Proceedings of the 7th International Conference on Learning Representations, 2019

DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2017
Hierarchical Detail Enhancing Mesh-Based Shape Generation with 3D Generative Adversarial Network.
CoRR, 2017


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