Paul Henderson

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 33

Top Topics

Diffusion Models

Top Venues

Publications

Zijun Long, Lipeng Zhuang, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning. CoRR (2024)
Tong Shi, Xuri Ge, Joemon M. Jose, Nicolas Pugeault, Paul Henderson
Detail-Enhanced Intra- and Inter-modal Interaction for Audio-Visual Emotion Recognition. CoRR (2024)
Titas Anciukevicius, Fabian Manhardt, Federico Tombari, Paul Henderson
Denoising Diffusion via Image-Based Rendering. CoRR (2024)
Titas Anciukevicius, Fabian Manhardt, Federico Tombari, Paul Henderson
Denoising Diffusion via Image-Based Rendering. ICLR (2024)
Paul Henderson, Melonie de Almeida, Daniela Ivanova, Titas Anciukevicius
Sampling 3D Gaussian Scenes in Seconds with Latent Diffusion Models. CoRR (2024)
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 (2023)
George Killick, Paul Henderson, Jan Paul Siebert, Gerardo Aragon-Camarasa
Foveation in the Era of Deep Learning. BMVC (2023)
Qianying Liu, Xiao Gu, Paul Henderson, Fani Deligianni
Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation. CoRR (2023)
George Killick, Paul Henderson, Paul Siebert, Gerardo Aragon-Camarasa
Foveation in the Era of Deep Learning. CoRR (2023)
Daniela Ivanova, John Williamson, Paul Henderson
Simulating analogue film damage to analyse and improve artefact restoration on high-resolution scans. CoRR (2023)
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)
Qianying Liu, Xiao Gu, Paul Henderson, Fani Deligianni
Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation. BMVC (2023)
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) (2023)
Paul Henderson, Areg Ghazaryan, Alexander A. Zibrov, Andrea F. Young, Maksym Serbyn
Determining band structure parameters of two-dimensional materials by deep learning. CoRR (2022)
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 (2022)
Titas Anciukevicius, Paul Henderson, Hakan Bilen
Learning to Predict Keypoints and Structure of Articulated Objects without Supervision. ICPR (2022)
Titas Anciukevicius, Patrick Fox-Roberts, Edward Rosten, Paul Henderson
Unsupervised Causal Generative Understanding of Images. NeurIPS (2022)
Paul Henderson, Christoph H. Lampert, Bernd Bickel
Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure. CoRR (2021)
Titas Anciukevicius, Christoph H. Lampert, Paul Henderson
Object-Centric Image Generation with Factored Depths, Locations, and Appearances. CoRR (2020)
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) (2020)
Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert
Leveraging 2D Data to Learn Textured 3D Mesh Generation. CVPR (2020)
Paul Henderson, Christoph H. Lampert
Unsupervised object-centric video generation and decomposition in 3D. NeurIPS (2020)
Konstantinos Gavriil, Ruslan Guseinov, Jesús Pérez, Davide Pellis, Paul Henderson, Florian Rist, Helmut Pottmann, Bernd Bickel
Computational Design of Cold Bent Glass Façades. CoRR (2020)
Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert
Leveraging 2D Data to Learn Textured 3D Mesh Generation. CoRR (2020)
Paul Henderson, Christoph H. Lampert
Unsupervised object-centric video generation and decomposition in 3D. CoRR (2020)
Paul Henderson, Vittorio Ferrari
Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading. Int. J. Comput. Vis. 128 (4) (2020)
Paul Henderson, Vittorio Ferrari
Learning single-image 3D reconstruction by generative modelling of shape, pose and shading. CoRR (2019)
Paul Henderson, Vittorio Ferrari
Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision. CoRR (2018)
Paul Henderson, Vittorio Ferrari
Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision. BMVC (2018)
Paul Henderson, Vittorio Ferrari
A Generative Model of 3D Object Layouts in Apartments. CoRR (2017)
Paul Henderson, Vittorio Ferrari
Automatically Selecting Inference Algorithms for Discrete Energy Minimisation. ECCV (5) (2016)
Paul Henderson, Vittorio Ferrari
End-to-End Training of Object Class Detectors for Mean Average Precision. ACCV (5) (2016)
Paul Henderson, Vittorio Ferrari
End-to-end training of object class detectors for mean average precision. CoRR (2016)
Paul Henderson, Vittorio Ferrari
Automatically selecting inference algorithms for discrete energy minimisation. CoRR (2015)