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
Proceedings of the 7th International Conference on Learning Representations, 2019
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