Paul M Henderson
Lampert Group
6 Publications
2023 | Published | Journal Article | IST-REx-ID: 14320 | 
P. M. Henderson, A. Ghazaryan, A. A. Zibrov, A. F. Young, and M. Serbyn, “Deep learning extraction of band structure parameters from density of states: A case study on trilayer graphene,” Physical Review B, vol. 108, no. 12. American Physical Society, 2023.
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2020 | Submitted | Preprint | IST-REx-ID: 8063 |
T. Anciukevicius, C. Lampert, and P. M. Henderson, “Object-centric image generation with factored depths, locations, and appearances,” arXiv. .
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 8186 |
P. M. Henderson, V. Tsiminaki, and C. Lampert, “Leveraging 2D data to learn textured 3D mesh generation,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Virtual, 2020, pp. 7498–7507.
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2020 | Published | Conference Paper | IST-REx-ID: 8188 |
P. M. Henderson and C. Lampert, “Unsupervised object-centric video generation and decomposition in 3D,” in 34th Conference on Neural Information Processing Systems, Vancouver, Canada, 2020, vol. 33, pp. 3106–3117.
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| arXiv
2020 | Published | Journal Article | IST-REx-ID: 8562 |
K. Gavriil et al., “Computational design of cold bent glass façades,” ACM Transactions on Graphics, vol. 39, no. 6. Association for Computing Machinery, 2020.
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| arXiv
2020 | Published | Journal Article | IST-REx-ID: 6952 |
P. M. Henderson and V. Ferrari, “Learning single-image 3D reconstruction by generative modelling of shape, pose and shading,” International Journal of Computer Vision, vol. 128. Springer Nature, pp. 835–854, 2020.
[Published Version]
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| arXiv
Grants
6 Publications
2023 | Published | Journal Article | IST-REx-ID: 14320 |
P. M. Henderson, A. Ghazaryan, A. A. Zibrov, A. F. Young, and M. Serbyn, “Deep learning extraction of band structure parameters from density of states: A case study on trilayer graphene,” Physical Review B, vol. 108, no. 12. American Physical Society, 2023.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2020 | Submitted | Preprint | IST-REx-ID: 8063 |
T. Anciukevicius, C. Lampert, and P. M. Henderson, “Object-centric image generation with factored depths, locations, and appearances,” arXiv. .
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 8186 |
P. M. Henderson, V. Tsiminaki, and C. Lampert, “Leveraging 2D data to learn textured 3D mesh generation,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Virtual, 2020, pp. 7498–7507.
[Submitted Version]
View
| Files available
| DOI
| Download Submitted Version (ext.)
| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 8188 |
P. M. Henderson and C. Lampert, “Unsupervised object-centric video generation and decomposition in 3D,” in 34th Conference on Neural Information Processing Systems, Vancouver, Canada, 2020, vol. 33, pp. 3106–3117.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2020 | Published | Journal Article | IST-REx-ID: 8562 |
K. Gavriil et al., “Computational design of cold bent glass façades,” ACM Transactions on Graphics, vol. 39, no. 6. Association for Computing Machinery, 2020.
[Submitted Version]
View
| Files available
| DOI
| WoS
| arXiv
2020 | Published | Journal Article | IST-REx-ID: 6952 |
P. M. Henderson and V. Ferrari, “Learning single-image 3D reconstruction by generative modelling of shape, pose and shading,” International Journal of Computer Vision, vol. 128. Springer Nature, pp. 835–854, 2020.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv