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Books and Theses
- 2019
[b1]Paul Henderson:
Advances in scene understanding : object detection, reconstruction, layouts, and inference. University of Edinburgh, UK, 2019
Journal Articles
- 2023
- [j3]Daniela Ivanova
, John Williamson, Paul Henderson:
Simulating analogue film damage to analyse and improve artefact restoration on high-resolution scans. Comput. Graph. Forum 42(2): 133-148 (2023) - 2020
- [j2]Paul Henderson, Vittorio Ferrari:
Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading. Int. J. Comput. Vis. 128(4): 835-854 (2020) - [j1]Konstantinos Gavriil, Ruslan Guseinov, Jesús Pérez, Davide Pellis, Paul Henderson, Florian Rist, Helmut Pottmann, Bernd Bickel:
Computational design of cold bent glass façades. ACM Trans. Graph. 39(6): 208:1-208:16 (2020)
Conference and Workshop Papers
- 2024
- [c12]Zijun Long, Lipeng Zhuang, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson:
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning. ECCV (54) 2024: 435-454 - [c11]Titas Anciukevicius, Fabian Manhardt, Federico Tombari, Paul Henderson:
Denoising Diffusion via Image-Based Rendering. ICLR 2024 - 2023
- [c10]George Killick, Paul Henderson, Jan Paul Siebert, Gerardo Aragon-Camarasa:
Foveation in the Era of Deep Learning. BMVC 2023: 703-706 - [c9]Qianying Liu, Xiao Gu, Paul Henderson, Fani Deligianni:
Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation. BMVC 2023: 868-869 - [c8]Titas Anciukevicius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero:
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation. CVPR 2023: 12608-12618 - 2022
- [c7]Titas Anciukevicius, Paul Henderson, Hakan Bilen:
Learning to Predict Keypoints and Structure of Articulated Objects without Supervision. ICPR 2022: 3383-3390 - [c6]Titas Anciukevicius, Patrick Fox-Roberts, Edward Rosten, Paul Henderson:
Unsupervised Causal Generative Understanding of Images. NeurIPS 2022 - 2020
- [c5]Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert:
Leveraging 2D Data to Learn Textured 3D Mesh Generation. CVPR 2020: 7495-7504 - [c4]Paul Henderson, Christoph H. Lampert:
Unsupervised object-centric video generation and decomposition in 3D. NeurIPS 2020 - 2018
- [c3]Paul Henderson, Vittorio Ferrari:
Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision. BMVC 2018: 1 - 2016
- [c2]Paul Henderson, Vittorio Ferrari:
End-to-End Training of Object Class Detectors for Mean Average Precision. ACCV (5) 2016: 198-213 - [c1]Paul Henderson, Vittorio Ferrari:
Automatically Selecting Inference Algorithms for Discrete Energy Minimisation. ECCV (5) 2016: 235-252
Informal and Other Publications
- 2024
- [i23]Titas Anciukevicius, Fabian Manhardt, Federico Tombari, Paul Henderson:
Denoising Diffusion via Image-Based Rendering. CoRR abs/2402.03445 (2024) - [i22]Zijun Long, Lipeng Zhuang, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson:
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning. CoRR abs/2403.06289 (2024) - [i21]Tong Shi, Xuri Ge, Joemon M. Jose, Nicolas Pugeault, Paul Henderson:
Detail-Enhanced Intra- and Inter-modal Interaction for Audio-Visual Emotion Recognition. CoRR abs/2405.16701 (2024) - [i20]Paul Henderson, Melonie de Almeida, Daniela Ivanova, Titas Anciukevicius:
Sampling 3D Gaussian Scenes in Seconds with Latent Diffusion Models. CoRR abs/2406.13099 (2024) - [i19]Daniela Ivanova, Marco Aversa, Paul Henderson, John Williamson:
State-of-the-Art Fails in the Art of Damage Detection. CoRR abs/2408.12953 (2024) - [i18]Qianying Liu, Paul Henderson, Xiao Gu, Hang Dai, Fani Deligianni:
Learning Semi-Supervised Medical Image Segmentation from Spatial Registration. CoRR abs/2409.10422 (2024) - [i17]Lipeng Zhuang, Shiyu Fan, Yingdong Ru, Florent P. Audonnet, Paul Henderson, Gerardo Aragon-Camarasa:
Flat'n'Fold: A Diverse Multi-Modal Dataset for Garment Perception and Manipulation. CoRR abs/2409.18297 (2024) - 2023
- [i16]Daniela Ivanova, John Williamson, Paul Henderson:
Simulating analogue film damage to analyse and improve artefact restoration on high-resolution scans. CoRR abs/2302.10004 (2023) - [i15]Qianying Liu, Xiao Gu, Paul Henderson, Fani Deligianni:
Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation. CoRR abs/2306.14293 (2023) - [i14]Zijun Long, George Killick, Lipeng Zhuang, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson:
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning. CoRR abs/2311.16481 (2023) - [i13]George Killick, Paul Henderson, Paul Siebert, Gerardo Aragon-Camarasa:
Foveation in the Era of Deep Learning. CoRR abs/2312.01450 (2023) - 2022
- [i12]Paul Henderson, Areg Ghazaryan, Alexander A. Zibrov, Andrea F. Young, Maksym Serbyn:
Determining band structure parameters of two-dimensional materials by deep learning. CoRR abs/2210.06310 (2022) - [i11]Titas Anciukevicius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero:
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation. CoRR abs/2211.09869 (2022) - 2021
- [i10]Paul Henderson, Christoph H. Lampert, Bernd Bickel:
Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure. CoRR abs/2106.09051 (2021) - 2020
- [i9]Titas Anciukevicius, Christoph H. Lampert, Paul Henderson:
Object-Centric Image Generation with Factored Depths, Locations, and Appearances. CoRR abs/2004.00642 (2020) - [i8]Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert:
Leveraging 2D Data to Learn Textured 3D Mesh Generation. CoRR abs/2004.04180 (2020) - [i7]Paul Henderson, Christoph H. Lampert:
Unsupervised object-centric video generation and decomposition in 3D. CoRR abs/2007.06705 (2020) - [i6]Konstantinos Gavriil, Ruslan Guseinov, Jesús Pérez, Davide Pellis, Paul Henderson, Florian Rist, Helmut Pottmann, Bernd Bickel:
Computational Design of Cold Bent Glass Façades. CoRR abs/2009.03667 (2020) - 2019
- [i5]Paul Henderson, Vittorio Ferrari:
Learning single-image 3D reconstruction by generative modelling of shape, pose and shading. CoRR abs/1901.06447 (2019) - 2018
- [i4]Paul Henderson, Vittorio Ferrari:
Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision. CoRR abs/1807.09259 (2018) - 2017
- [i3]Paul Henderson, Vittorio Ferrari:
A Generative Model of 3D Object Layouts in Apartments. CoRR abs/1711.10939 (2017) - 2016
- [i2]Paul Henderson, Vittorio Ferrari:
End-to-end training of object class detectors for mean average precision. CoRR abs/1607.03476 (2016) - 2015
- [i1]Paul Henderson, Vittorio Ferrari:
Automatically selecting inference algorithms for discrete energy minimisation. CoRR abs/1511.06214 (2015)
Coauthor Index
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