End-to-end training of object class detectors for mean average precision P Henderson, V Ferrari Asian Conference on Computer Vision, 198-213, 2016 | 366 | 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 | 137 | 2019 |
Renderdiffusion: Image diffusion for 3d reconstruction, inpainting and generation T Anciukevičius, Z Xu, M Fisher, P Henderson, H Bilen, NJ Mitra, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 106 | 2023 |
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 | 100 | 2020 |
Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision P Henderson, V Ferrari British Machine Vision Conference, 2018 | 81 | 2018 |
Unsupervised object-centric video generation and decomposition in 3D P Henderson, CH Lampert Advances in Neural Information Processing Systems (NeurIPS) 33, 2020 | 43 | 2020 |
Automatic Generation of Constrained Furniture Layouts P Henderson, K Subr, V Ferrari arXiv preprint arXiv:1711.10939, 2017 | 32* | 2017 |
Object-Centric Image Generation with Factored Depths, Locations, and Appearances T Anciukevicius, C Lampert, P Henderson arXiv preprint arXiv:2004.00642, 2020 | 30 | 2020 |
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 | 21 | 2020 |
Sammon Mapping P Henderson CVonline: On-Line Compendium of Computer Vision [Online], 2010 | 19* | 2010 |
Unsupervised Causal Generative Understanding of Images T Anciukevičius, P Fox-Roberts, E Rosten, P Henderson Advances in Neural Information Processing Systems (NeurIPS) 35, 2022 | 8 | 2022 |
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 | 7 | 2021 |
Denoising Diffusion via Image-Based Rendering T Anciukevicius, F Manhardt, F Tombari, P Henderson arXiv preprint arXiv:2402.03445, 2024 | 4 | 2024 |
Elucidating and overcoming the challenges of label noise in supervised contrastive learning Z Long, G Killick, L Zhuang, R McCreadie, GA Camarasa, P Henderson arXiv preprint arXiv:2311.16481, 2023 | 4 | 2023 |
Systems and methods for processing medical images for in-progress studies RJ Tweedie, P Henderson, K Houston US Patent 11,961,606, 2024 | 3 | 2024 |
Process and apparatus for data registration BD Panter, RJ Tweedie, P Henderson US Patent 9,224,229, 2015 | 3 | 2015 |
Deep learning extraction of band structure parameters from density of states: A case study on trilayer graphene P Henderson, A Ghazaryan, AA Zibrov, AF Young, M Serbyn Physical Review B 108 (12), 125411, 2023 | 2 | 2023 |
Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation Q Liu, X Gu, P Henderson, F Deligianni British Machine Vision Conference, 2023 | 1 | 2023 |
Learning to Predict Keypoints and Structure of Articulated Objects without Supervision T Anciukevicius, P Henderson, H Bilen International Conference on Pattern Recognition, 2022 | 1 | 2022 |
Automatically selecting inference algorithms for discrete energy minimisation P Henderson, V Ferrari Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1 | 2016 |