Paul Henderson
Paul Henderson
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Cited by
Cited by
End-to-end training of object class detectors for mean average precision
P Henderson, V Ferrari
Asian Conference on Computer Vision, 198-213, 2016
Learning single-image 3D reconstruction by generative modelling of shape, pose and shading
P Henderson, V Ferrari
International Journal of Computer Vision 128, 835-854, 2019
Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision
P Henderson, V Ferrari
British Machine Vision Conference, 2018
Leveraging 2D Data to Learn Textured 3D Mesh Generation
P Henderson, V Tsiminaki, CH Lampert
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020 …, 2020
Unsupervised object-centric video generation and decomposition in 3D
P Henderson, CH Lampert
Advances in Neural Information Processing Systems (NeurIPS) 33, 2020
Automatic Generation of Constrained Furniture Layouts
P Henderson, K Subr, V Ferrari
arXiv preprint arXiv:1711.10939, 2017
Object-Centric Image Generation with Factored Depths, Locations, and Appearances
T Anciukevicius, C Lampert, P Henderson
arXiv preprint arXiv:2004.00642, 2020
Sammon Mapping
P Henderson
CVonline: On-Line Compendium of Computer Vision [Online], 2010
Computational design of cold bent glass façades
K Gavriil, R Guseinov, J Pérez, D Pellis, P Henderson, F Rist, H Pottmann, ...
ACM Transactions on Graphics (TOG) 39 (6), 1-16, 2020
Process and apparatus for data registration
BD Panter, RJ Tweedie, P Henderson
US Patent 9,224,229, 2015
Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure
P Henderson, CH Lampert, B Bickel
arXiv preprint arXiv:2106.09051, 2021
Systems and Methods for Processing Medical Images For In-Progress Studies
RJ Tweedie, P Henderson, K Houston
US Patent App. 16/695,642, 2021
Automatically selecting inference algorithms for discrete energy minimisation
P Henderson, V Ferrari
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
T Anciukevičius, Z Xu, M Fisher, P Henderson, H Bilen, NJ Mitra, ...
arXiv preprint arXiv:2211.09869, 2022
Determining band structure parameters of two-dimensional materials by deep learning
P Henderson, A Ghazaryan, AA Zibrov, AF Young, M Serbyn
arXiv preprint arXiv:2210.06310, 2022
Systems and Methods for Processing Medical Images Using Relevancy Rules
RJ Tweedie, P Henderson, K Houston
US Patent App. 17/751,063, 2022
Learning to Predict Keypoints and Structure of Articulated Objects without Supervision
T Anciukevicius, P Henderson, H Bilen
International Conference on Pattern Recognition, 2022
Unsupervised Causal Generative Understanding of Images
T Anciukevičius, P Fox-Roberts, E Rosten, P Henderson
Advances in Neural Information Processing Systems (NeurIPS) 35, 2022
Systems and Methods for Processing Medical Images Using Relevancy Rules
RJ Tweedie, P Henderson, K Houston
US Patent App. 16/695,612, 2021
Structured Generative Modeling of Images with Object Depths and Locations
T Anciukevičius, CH Lampert, P Henderson
ICML 2020 Workshop on Object-Oriented Learning (OOL), 2020
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