6 Publications

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[6]
2023 | Published | Journal Article | IST-REx-ID: 14320 | OA
Henderson PM, Ghazaryan A, Zibrov AA, Young AF, Serbyn M. 2023. Deep learning extraction of band structure parameters from density of states: A case study on trilayer graphene. Physical Review B. 108(12), 125411.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[5]
2020 | Published | Conference Paper | IST-REx-ID: 8186 | OA
Henderson PM, Tsiminaki V, Lampert C. 2020. Leveraging 2D data to learn textured 3D mesh generation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition, 7498–7507.
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | arXiv
 
[4]
2020 | Submitted | Preprint | IST-REx-ID: 8063 | OA
Anciukevicius T, Lampert C, Henderson PM. Object-centric image generation with factored depths, locations, and appearances. arXiv, 2004.00642.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[3]
2020 | Published | Journal Article | IST-REx-ID: 6952 | OA
Henderson PM, Ferrari V. 2020. Learning single-image 3D reconstruction by generative modelling of shape, pose and shading. International Journal of Computer Vision. 128, 835–854.
[Published Version] View | Files available | DOI | WoS | arXiv
 
[2]
2020 | Published | Journal Article | IST-REx-ID: 8562 | OA
Gavriil K, Guseinov R, Perez Rodriguez J, Pellis D, Henderson PM, Rist F, Pottmann H, Bickel B. 2020. Computational design of cold bent glass façades. ACM Transactions on Graphics. 39(6), 208.
[Submitted Version] View | Files available | DOI | WoS | arXiv
 
[1]
2020 | Published | Conference Paper | IST-REx-ID: 8188 | OA
Henderson PM, Lampert C. 2020. Unsupervised object-centric video generation and decomposition in 3D. 34th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 33, 3106–3117.
[Preprint] View | Download Preprint (ext.) | arXiv
 

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6 Publications

Mark all

[6]
2023 | Published | Journal Article | IST-REx-ID: 14320 | OA
Henderson PM, Ghazaryan A, Zibrov AA, Young AF, Serbyn M. 2023. Deep learning extraction of band structure parameters from density of states: A case study on trilayer graphene. Physical Review B. 108(12), 125411.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[5]
2020 | Published | Conference Paper | IST-REx-ID: 8186 | OA
Henderson PM, Tsiminaki V, Lampert C. 2020. Leveraging 2D data to learn textured 3D mesh generation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition, 7498–7507.
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | arXiv
 
[4]
2020 | Submitted | Preprint | IST-REx-ID: 8063 | OA
Anciukevicius T, Lampert C, Henderson PM. Object-centric image generation with factored depths, locations, and appearances. arXiv, 2004.00642.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[3]
2020 | Published | Journal Article | IST-REx-ID: 6952 | OA
Henderson PM, Ferrari V. 2020. Learning single-image 3D reconstruction by generative modelling of shape, pose and shading. International Journal of Computer Vision. 128, 835–854.
[Published Version] View | Files available | DOI | WoS | arXiv
 
[2]
2020 | Published | Journal Article | IST-REx-ID: 8562 | OA
Gavriil K, Guseinov R, Perez Rodriguez J, Pellis D, Henderson PM, Rist F, Pottmann H, Bickel B. 2020. Computational design of cold bent glass façades. ACM Transactions on Graphics. 39(6), 208.
[Submitted Version] View | Files available | DOI | WoS | arXiv
 
[1]
2020 | Published | Conference Paper | IST-REx-ID: 8188 | OA
Henderson PM, Lampert C. 2020. Unsupervised object-centric video generation and decomposition in 3D. 34th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 33, 3106–3117.
[Preprint] View | Download Preprint (ext.) | arXiv
 

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Citation Style: ISTA Annual Report

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