End-to-End Training of Object Class Detectors for Mean Average Precision. - Paul Henderson; Vittorio Ferrari (ACCV (5), 2016)

Automatically Selecting Inference Algorithms for Discrete Energy Minimisation. - Paul Henderson; Vittorio Ferrari (ECCV (5), 2016)

A Generative Model of 3D Object Layouts in Apartments. - Paul Henderson; Vittorio Ferrari (CoRR, 2017)

Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision. - Paul Henderson; Vittorio Ferrari (BMVC, 2018)

Advances in scene understanding : object detection, reconstruction, layouts, and inference - Paul Henderson (2019)

Leveraging 2D Data to Learn Textured 3D Mesh Generation. - Paul Henderson; Vagia Tsiminaki; Christoph H. Lampert (CVPR, 2020)

Unsupervised object-centric video generation and decomposition in 3D. - Paul Henderson; Christoph H. Lampert (NeurIPS, 2020)

Object-Centric Image Generation with Factored Depths, Locations, and Appearances. - Titas Anciukevicius; Christoph H. Lampert; Paul Henderson (CoRR, 2020)

Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading. - Paul Henderson; Vittorio Ferrari (Int. J. Comput. Vis., 2020)

Computational design of cold bent glass façades. - Konstantinos Gavriil; Ruslan Guseinov; Jesús Pérez 003; Davide Pellis; Paul Henderson; Florian Rist 001; Helmut Pottmann; Bernd Bickel (ACM Trans. Graph., 2020)

Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure. - Paul Henderson; Christoph H. Lampert; Bernd Bickel (CoRR, 2021)

Learning to Predict Keypoints and Structure of Articulated Objects without Supervision. - Titas Anciukevicius; Paul Henderson; Hakan Bilen (ICPR, 2022)

Unsupervised Causal Generative Understanding of Images. - Titas Anciukevicius; Patrick Fox-Roberts; Edward Rosten; Paul Henderson (NeurIPS, 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)

Foveation in the Era of Deep Learning. - George Killick; Paul Henderson; Jan Paul Siebert; Gerardo Aragon-Camarasa (BMVC, 2023)

Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation. - Qianying Liu; Xiao Gu 003; Paul Henderson; Fani Deligianni (BMVC, 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 001 (CVPR, 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)

Simulating analogue film damage to analyse and improve artefact restoration on high-resolution scans. - Daniela Ivanova; John Williamson 001; Paul Henderson (Comput. Graph. Forum, 2023)

Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning. - Zijun Long; Lipeng Zhuang; George Killick; Richard McCreadie; Gerardo Aragon-Camarasa; Paul Henderson (ECCV (54), 2024)

Denoising Diffusion via Image-Based Rendering. - Titas Anciukevicius; Fabian Manhardt; Federico Tombari; Paul Henderson (ICLR, 2024)

Detail-Enhanced Intra- and Inter-modal Interaction for Audio-Visual Emotion Recognition. - Tong Shi; Xuri Ge; Joemon M. Jose; Nicolas Pugeault; Paul Henderson (ICPR (21), 2024)

Sampling 3D Gaussian Scenes in Seconds with Latent Diffusion Models. - Paul Henderson; Melonie de Almeida; Daniela Ivanova; Titas Anciukevicius (CoRR, 2024)

State-of-the-Art Fails in the Art of Damage Detection. - Daniela Ivanova; Marco Aversa; Paul Henderson; John Williamson 001 (CoRR, 2024)

Flat'n'Fold: A Diverse Multi-Modal Dataset for Garment Perception and Manipulation. - Lipeng Zhuang; Shiyu Fan; Yingdong Ru; Florent P. Audonnet; Paul Henderson; Gerardo Aragon-Camarasa (CoRR, 2024)

Unsupervised Segmentation by Diffusing, Walking and Cutting. - Daniela Ivanova; Marco Aversa; Paul Henderson; John Williamson 001 (CoRR, 2024)

DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations. - Wenhao Hu; Paul Henderson; José Cano (CoRR, 2024)

Diffusion Augmented Retrieval: A Training-Free Approach to Interactive Text-to-Image Retrieval. - Zijun Long; Kangheng Liang; Gerardo Aragon-Camarasa; Richard McCreadie; Paul Henderson (SIGIR, 2025)

ARTeFACT: Benchmarking Segmentation Models on Diverse Analogue Media Damage. - Daniela Ivanova; Marco Aversa; Paul Henderson; John Williamson 001 (WACV, 2025)

Learning Semi-Supervised Medical Image Segmentation from Spatial Registration. - Qianying Liu; Paul Henderson; Xiao Gu 003; Hang Dai; Fani Deligianni (WACV, 2025)

Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-Based Human Activity Recognition. - Idris Zakariyya; Linda Tran; Kaushik Bhargav Sivangi; Paul Henderson; Fani Deligianni (WACV, 2025)

On the Benefits of Instance Decomposition in Video Prediction Models. - Eliyas Suleyman; Paul Henderson; Nicolas Pugeault (CoRR, 2025)

Zero-Shot Interactive Text-to-Image Retrieval via Diffusion-Augmented Representations. - Zijun Long; Kangheng Liang; Gerardo Aragon-Camarasa; Richard McCreadie; Paul Henderson (CoRR, 2025)

MIND: Microstructure INverse Design with Generative Hybrid Neural Representation. - Tianyang Xue; Haochen Li; Longdu Liu; Paul Henderson; Pengbin Tang; Lin Lu 001; Jikai Liu; Haisen Zhao; Hao Peng 001; Bernd Bickel (CoRR, 2025)

Actively Inferring Optimal Measurement Sequences. - Catherine F. Higham; Paul Henderson; Roderick Murray-Smith (CoRR, 2025)

Divide and Conquer Self-Supervised Learning for High-Content Imaging. - Lucas Farndale; Paul Henderson; Edward W. Roberts; Ke Yuan (CoRR, 2025)

Differentially Private 2D Human Pose Estimation. - Kaushik Bhargav Sivangi; Idris Zakariyya; Paul Henderson; Fani Deligianni (CoRR, 2025)

Beyond Reconstruction: A Physics Based Neural Deferred Shader for Photo-realistic Rendering. - Zhuo He; Paul Henderson; Nicolas Pugeault (CoRR, 2025)

Generative Fields: Uncovering Hierarchical Feature Control for StyleGAN via Inverted Receptive Fields. - Zhuo He; Paul Henderson; Nicolas Pugeault (CoRR, 2025)

ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks. - Wenhao Hu; Paul Henderson; José Cano (CoRR, 2025)

Multi-Person Interaction Generation from Two-Person Motion Priors. - Wenning Xu; Shiyu Fan; Paul Henderson; Edmond S. L. Ho (CoRR, 2025)

3D-ADAM: A Dataset for 3D Anomaly Detection in Advanced Manufacturing. - Paul McHard; Florent P. Audonnet; Oliver Summerell; Sebastian Andraos; Paul Henderson; Gerardo Aragon-Camarasa (CoRR, 2025)

Certainty-Guided Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation. - Qianying Liu; Xiao Gu 003; Paul Henderson; Hang Dai; Fani Deligianni (IEEE Trans. Biomed. Eng., 2025)