Paul M Henderson
Lampert Group
6 Publications
2023 | Published | Journal Article | IST-REx-ID: 14320 | 
Henderson, P. M., Ghazaryan, A., Zibrov, A. A., Young, A. F., & Serbyn, M. (2023). Deep learning extraction of band structure parameters from density of states: A case study on trilayer graphene. Physical Review B. American Physical Society. https://doi.org/10.1103/physrevb.108.125411
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2020 | Submitted | Preprint | IST-REx-ID: 8063 |
Anciukevicius, T., Lampert, C., & Henderson, P. M. (n.d.). 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 |
Henderson, P. M., Tsiminaki, V., & Lampert, C. (2020). Leveraging 2D data to learn textured 3D mesh generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 7498–7507). Virtual: IEEE. https://doi.org/10.1109/CVPR42600.2020.00752
[Submitted Version]
View
| Files available
| DOI
| Download Submitted Version (ext.)
| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 8188 |
Henderson, P. M., & Lampert, C. (2020). Unsupervised object-centric video generation and decomposition in 3D. In 34th Conference on Neural Information Processing Systems (Vol. 33, pp. 3106–3117). Vancouver, Canada: Curran Associates.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2020 | Published | Journal Article | IST-REx-ID: 8562 |
Gavriil, K., Guseinov, R., Perez Rodriguez, J., Pellis, D., Henderson, P. M., Rist, F., … Bickel, B. (2020). Computational design of cold bent glass façades. ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3414685.3417843
[Submitted Version]
View
| Files available
| DOI
| WoS
| arXiv
2020 | Published | Journal Article | IST-REx-ID: 6952 |
Henderson, P. M., & Ferrari, V. (2020). Learning single-image 3D reconstruction by generative modelling of shape, pose and shading. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-019-01219-8
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
Grants
6 Publications
2023 | Published | Journal Article | IST-REx-ID: 14320 |
Henderson, P. M., Ghazaryan, A., Zibrov, A. A., Young, A. F., & Serbyn, M. (2023). Deep learning extraction of band structure parameters from density of states: A case study on trilayer graphene. Physical Review B. American Physical Society. https://doi.org/10.1103/physrevb.108.125411
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2020 | Submitted | Preprint | IST-REx-ID: 8063 |
Anciukevicius, T., Lampert, C., & Henderson, P. M. (n.d.). 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 |
Henderson, P. M., Tsiminaki, V., & Lampert, C. (2020). Leveraging 2D data to learn textured 3D mesh generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 7498–7507). Virtual: IEEE. https://doi.org/10.1109/CVPR42600.2020.00752
[Submitted Version]
View
| Files available
| DOI
| Download Submitted Version (ext.)
| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 8188 |
Henderson, P. M., & Lampert, C. (2020). Unsupervised object-centric video generation and decomposition in 3D. In 34th Conference on Neural Information Processing Systems (Vol. 33, pp. 3106–3117). Vancouver, Canada: Curran Associates.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2020 | Published | Journal Article | IST-REx-ID: 8562 |
Gavriil, K., Guseinov, R., Perez Rodriguez, J., Pellis, D., Henderson, P. M., Rist, F., … Bickel, B. (2020). Computational design of cold bent glass façades. ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3414685.3417843
[Submitted Version]
View
| Files available
| DOI
| WoS
| arXiv
2020 | Published | Journal Article | IST-REx-ID: 6952 |
Henderson, P. M., & Ferrari, V. (2020). Learning single-image 3D reconstruction by generative modelling of shape, pose and shading. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-019-01219-8
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv