Paul Henderson

According to our database, Paul Henderson authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning.

Zijun Long, Lipeng Zhuang, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson

CoRR, 2024

Denoising Diffusion via Image-Based Rendering.

Titas Anciukevicius, Fabian Manhardt, Federico Tombari, Paul Henderson

CoRR, 2024

2023

Simulating analogue film damage to analyse and improve artefact restoration on high-resolution scans.

Daniela Ivanova, John Williamson, Paul Henderson

Comput. Graph. Forum, May, 2023

Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning.

Zijun Long, George Killick, Lipeng Zhuang, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson

CoRR, 2023

RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation.

Titas Anciukevicius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation.

Qianying Liu, Xiao Gu, Paul Henderson, Fani Deligianni

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Foveation in the Era of Deep Learning.

George Killick, Paul Henderson, Jan Paul Siebert, Gerardo Aragon-Camarasa

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Determining band structure parameters of two-dimensional materials by deep learning.

Paul Henderson, Areg Ghazaryan, Alexander A. Zibrov, Andrea F. Young, Maksym Serbyn

CoRR, 2022

Unsupervised Causal Generative Understanding of Images.

Titas Anciukevicius, Patrick Fox-Roberts, Edward Rosten, Paul Henderson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Predict Keypoints and Structure of Articulated Objects without Supervision.

Titas Anciukevicius, Paul Henderson, Hakan Bilen

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure.

Paul Henderson, Christoph H. Lampert, Bernd Bickel

CoRR, 2021

2020

Computational design of cold bent glass façades.

Konstantinos Gavriil, Ruslan Guseinov, Jesús Pérez, Davide Pellis, Paul Henderson, Florian Rist, Helmut Pottmann, Bernd Bickel

ACM Trans. Graph., 2020

Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading.

Paul Henderson, Vittorio Ferrari

Int. J. Comput. Vis., 2020

Object-Centric Image Generation with Factored Depths, Locations, and Appearances.

Titas Anciukevicius, Christoph H. Lampert, Paul Henderson

CoRR, 2020

Unsupervised object-centric video generation and decomposition in 3D.

Paul Henderson, Christoph H. Lampert

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Leveraging 2D Data to Learn Textured 3D Mesh Generation.

Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Advances in scene understanding : object detection, reconstruction, layouts, and inference

Paul Henderson

PhD thesis, 2019

2018

Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision.

Paul Henderson, Vittorio Ferrari

Proceedings of the British Machine Vision Conference 2018, 2018

2017

A Generative Model of 3D Object Layouts in Apartments.

Paul Henderson, Vittorio Ferrari

CoRR, 2017

2016

Automatically Selecting Inference Algorithms for Discrete Energy Minimisation.

Paul Henderson, Vittorio Ferrari

Proceedings of the Computer Vision - ECCV 2016, 2016

End-to-End Training of Object Class Detectors for Mean Average Precision.

Paul Henderson, Vittorio Ferrari

Proceedings of the Computer Vision - ACCV 2016, 2016