Paul Henderson

79 papers A* 7A 6B 2Journal 55Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Dense Crowd Trajectory Prediction Via Dynamic Clustering. CoRR Antonius Bima Murti Wijaya, Paul Henderson, Marwa Mahmoud
2026	J	`jnl`	Eliminating Hallucination in Diffusion-Augmented Interactive Text-to-Image Retrieval. CoRR Zhuocheng Zhang, Kangheng Liang, Guanxuan Li, Paul Henderson, Richard McCreadie, Zijun Long
2026	J	`jnl`	Guest Editorial: Special Issue for the British Machine Vision Conference (BMVC), 2024 (Glasgow, Scotland, UK). Int. J. Comput. Vis. Carlos Francisco Moreno-García, Gerardo Aragon-Camarasa, Edmond S. L. Ho, Paul Henderson, Nicolas Pugeault, Jungong Han, Sergio Escalera
2026	J	`jnl`	Ink Detection from Surface Topography of the Herculaneum Papyri. CoRR Giorgio Angelotti, Federica Nicolardi, Paul Henderson, W. Brent Seales
2026	J	`jnl`	Is Training Necessary for Anomaly Detection? CoRR Xingwu Zhang, Guanxuan Li, Paul Henderson, Gerardo Aragon-Camarasa, Zijun Long
2026	J	`jnl`	Pixel-to-4D: Camera-Controlled Image-to-Video Generation with Dynamic 3D Gaussians. CoRR Melonie de Almeida, Daniela Ivanova, Tong Shi, John H. Williamson, Paul Henderson
2026	—	`conf`	Splat-Portrait: Generalizing Talking Heads with Gaussian Splatting. MMM (1) Tong Shi, Melonie de Almeida, Daniela Ivanova, Nicolas Pugeault, Paul Henderson
2026	J	`jnl`	Splat-Portrait: Generalizing Talking Heads with Gaussian Splatting. CoRR Tong Shi, Melonie de Almeida, Daniela Ivanova, Nicolas Pugeault, Paul Henderson
2025	J	`jnl`	3D-ADAM: A Dataset for 3D Anomaly Detection in Advanced Manufacturing. CoRR Paul McHard, Florent P. Audonnet, Oliver Summerell, Sebastian Andraos, Paul Henderson, Gerardo Aragon-Camarasa
2025	J	`jnl`	A Convolutional Neural Deferred Shader for Physics Based Rendering. CoRR Zhuo He, Yingdong Ru, Qianying Liu, Paul Henderson, Nicolas Pugeault
2025	A	`conf`	ARTeFACT: Benchmarking Segmentation Models on Diverse Analogue Media Damage. WACV Daniela Ivanova, Marco Aversa, Paul Henderson, John Williamson
2025	J	`jnl`	Actively Inferring Optimal Measurement Sequences. CoRR Catherine F. Higham, Paul Henderson, Roderick Murray-Smith
2025	—	`conf`	Beyond Reconstruction: A Physics Based Neural Deferred Shader for Photo-Realistic Rendering. ICANN (4) Zhuo He, Paul Henderson, Nicolas Pugeault
2025	J	`jnl`	Beyond Reconstruction: A Physics Based Neural Deferred Shader for Photo-realistic Rendering. CoRR Zhuo He, Paul Henderson, Nicolas Pugeault
2025	J	`jnl`	Certainty-Guided Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation. IEEE Trans. Biomed. Eng. Qianying Liu, Xiao Gu, Paul Henderson, Hang Dai, Fani Deligianni
2025	J	`jnl`	Differentially Private 2D Human Pose Estimation. CoRR Kaushik Bhargav Sivangi, Idris Zakariyya, Paul Henderson, Fani Deligianni
2025	A	`conf`	Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-Based Human Activity Recognition. WACV Idris Zakariyya, Linda Tran, Kaushik Bhargav Sivangi, Paul Henderson, Fani Deligianni
2025	A*	`conf`	Diffusion Augmented Retrieval: A Training-Free Approach to Interactive Text-to-Image Retrieval. SIGIR Zijun Long, Kangheng Liang, Gerardo Aragon-Camarasa, Richard McCreadie, Paul Henderson
2025	J	`jnl`	Divide and Conquer Self-Supervised Learning for High-Content Imaging. CoRR Lucas Farndale, Paul Henderson, Edward W. Roberts, Ke Yuan
2025	J	`jnl`	Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels. CoRR Guangming Liang, Mingjie Yang, Dongzhu Liu, Paul Henderson, Lajos Hanzo
2025	A*	`conf`	Flat'n'Fold: A Diverse Multi-Modal Dataset for Garment Perception and Manipulation. ICRA Lipeng Zhuang, Shiyu Fan, Yingdong Ru, Florent P. Audonnet, Paul Henderson, Gerardo Aragon-Camarasa
2025	J	`jnl`	Flow and Depth Assisted Video Prediction with Latent Transformer. CoRR Eliyas Suleyman, Paul Henderson, Eksan Firkat, Nicolas Pugeault
2025	J	`jnl`	Generative Fields: Uncovering Hierarchical Feature Control for StyleGAN via Inverted Receptive Fields. CoRR Zhuo He, Paul Henderson, Nicolas Pugeault
2025	B	`conf`	ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks. IJCNN Wenhao Hu, Paul Henderson, José Cano
2025	J	`jnl`	ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks. CoRR Wenhao Hu, Paul Henderson, José Cano
2025	A	`conf`	Learning Semi-Supervised Medical Image Segmentation from Spatial Registration. WACV Qianying Liu, Paul Henderson, Xiao Gu, Hang Dai, Fani Deligianni
2025	—	`conf`	MIND: Microstructure INverse Design with Generative Hybrid Neural Representation. SIGGRAPH (Conference Paper Track) Tianyang Xue, Longdu Liu, Lin Lu, Paul Henderson, Pengbin Tang, Haochen Li, Jikai Liu, Haisen Zhao, Hao Peng, Bernd Bickel
2025	J	`jnl`	MIND: Microstructure INverse Design with Generative Hybrid Neural Representation. CoRR Tianyang Xue, Haochen Li, Longdu Liu, Paul Henderson, Pengbin Tang, Lin Lu, Jikai Liu, Haisen Zhao, Hao Peng, Bernd Bickel
2025	J	`jnl`	Masked Generative Policy for Robotic Control. CoRR Lipeng Zhuang, Shiyu Fan, Florent P. Audonnet, Yingdong Ru, Gerardo Aragon-Camarasa, Paul Henderson
2025	—	`conf`	Multi-Person Interaction Generation from Two-Person Motion Priors. SIGGRAPH (Conference Paper Track) Wenning Xu, Shiyu Fan, Paul Henderson, Edmond S. L. Ho
2025	J	`jnl`	Multi-Person Interaction Generation from Two-Person Motion Priors. CoRR Wenning Xu, Shiyu Fan, Paul Henderson, Edmond S. L. Ho
2025	J	`jnl`	On the Benefits of Instance Decomposition in Video Prediction Models. CoRR Eliyas Suleyman, Paul Henderson, Nicolas Pugeault
2025	J	`jnl`	ReMatch: Boosting Representation through Matching for Multimodal Retrieval. CoRR Qianying Liu, Xiao Liang, Zhiqiang Zhang, Zhongfei Qing, Fengfan Zhou, Yibo Chen, Xu Tang, Yao Hu, Paul Henderson
2025	J	`jnl`	Virtually Unrolling the Herculaneum Papyri by Diffeomorphic Spiral Fitting. CoRR Paul Henderson
2025	J	`jnl`	Zero-Shot Interactive Text-to-Image Retrieval via Diffusion-Augmented Representations. CoRR Zijun Long, Kangheng Liang, Gerardo Aragon-Camarasa, Richard McCreadie, Paul Henderson
2024	J	`jnl`	ARTeFACT: Benchmarking Segmentation Models on Diverse Analogue Media Damage. CoRR Daniela Ivanova, Marco Aversa, Paul Henderson, John Williamson
2024	J	`jnl`	DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations. CoRR Wenhao Hu, Paul Henderson, José Cano
2024	A*	`conf`	Denoising Diffusion via Image-Based Rendering. ICLR Titas Anciukevicius, Fabian Manhardt, Federico Tombari, Paul Henderson
2024	J	`jnl`	Denoising Diffusion via Image-Based Rendering. CoRR Titas Anciukevicius, Fabian Manhardt, Federico Tombari, Paul Henderson
2024	—	`conf`	Detail-Enhanced Intra- and Inter-modal Interaction for Audio-Visual Emotion Recognition. ICPR (21) Tong Shi, Xuri Ge, Joemon M. Jose, Nicolas Pugeault, Paul Henderson
2024	J	`jnl`	Detail-Enhanced Intra- and Inter-modal Interaction for Audio-Visual Emotion Recognition. CoRR Tong Shi, Xuri Ge, Joemon M. Jose, Nicolas Pugeault, Paul Henderson
2024	J	`jnl`	Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition. CoRR Idris Zakariyya, Linda Tran, Kaushik Bhargav Sivangi, Paul Henderson, Fani Deligianni
2024	J	`jnl`	Flat'n'Fold: A Diverse Multi-Modal Dataset for Garment Perception and Manipulation. CoRR Lipeng Zhuang, Shiyu Fan, Yingdong Ru, Florent P. Audonnet, Paul Henderson, Gerardo Aragon-Camarasa
2024	J	`jnl`	Learning Semi-Supervised Medical Image Segmentation from Spatial Registration. CoRR Qianying Liu, Paul Henderson, Xiao Gu, Hang Dai, Fani Deligianni
2024	J	`jnl`	Sampling 3D Gaussian Scenes in Seconds with Latent Diffusion Models. CoRR Paul Henderson, Melonie de Almeida, Daniela Ivanova, Titas Anciukevicius
2024	J	`jnl`	State-of-the-Art Fails in the Art of Damage Detection. CoRR Daniela Ivanova, Marco Aversa, Paul Henderson, John Williamson
2024	—	`conf`	Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning. ECCV (54) Zijun Long, Lipeng Zhuang, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson
2024	J	`jnl`	Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning. CoRR Zijun Long, Lipeng Zhuang, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson
2024	J	`jnl`	Unsupervised Segmentation by Diffusing, Walking and Cutting. CoRR Daniela Ivanova, Marco Aversa, Paul Henderson, John Williamson
2023	J	`jnl`	Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning. CoRR Zijun Long, George Killick, Lipeng Zhuang, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson
2023	A	`conf`	Foveation in the Era of Deep Learning. BMVC George Killick, Paul Henderson, Jan Paul Siebert, Gerardo Aragon-Camarasa
2023	J	`jnl`	Foveation in the Era of Deep Learning. CoRR George Killick, Paul Henderson, Paul Siebert, Gerardo Aragon-Camarasa
2023	A	`conf`	Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation. BMVC Qianying Liu, Xiao Gu, Paul Henderson, Fani Deligianni
2023	J	`jnl`	Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation. CoRR Qianying Liu, Xiao Gu, Paul Henderson, Fani Deligianni
2023	A*	`conf`	RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation. CVPR Titas Anciukevicius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero
2023	J	`jnl`	Simulating analogue film damage to analyse and improve artefact restoration on high-resolution scans. Comput. Graph. Forum Daniela Ivanova, John Williamson, Paul Henderson
2023	J	`jnl`	Simulating analogue film damage to analyse and improve artefact restoration on high-resolution scans. CoRR Daniela Ivanova, John Williamson, Paul Henderson
2022	J	`jnl`	Determining band structure parameters of two-dimensional materials by deep learning. CoRR Paul Henderson, Areg Ghazaryan, Alexander A. Zibrov, Andrea F. Young, Maksym Serbyn
2022	B	`conf`	Learning to Predict Keypoints and Structure of Articulated Objects without Supervision. ICPR Titas Anciukevicius, Paul Henderson, Hakan Bilen
2022	J	`jnl`	RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation. CoRR Titas Anciukevicius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero
2022	A*	`conf`	Unsupervised Causal Generative Understanding of Images. NeurIPS Titas Anciukevicius, Patrick Fox-Roberts, Edward Rosten, Paul Henderson
2021	J	`jnl`	Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure. CoRR Paul Henderson, Christoph H. Lampert, Bernd Bickel
2020	J	`jnl`	Computational Design of Cold Bent Glass Façades. CoRR Konstantinos Gavriil, Ruslan Guseinov, Jesús Pérez, Davide Pellis, Paul Henderson, Florian Rist, Helmut Pottmann, Bernd Bickel
2020	J	`jnl`	Computational design of cold bent glass façades. ACM Trans. Graph. Konstantinos Gavriil, Ruslan Guseinov, Jesús Pérez, Davide Pellis, Paul Henderson, Florian Rist, Helmut Pottmann, Bernd Bickel
2020	J	`jnl`	Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading. Int. J. Comput. Vis. Paul Henderson, Vittorio Ferrari
2020	A*	`conf`	Leveraging 2D Data to Learn Textured 3D Mesh Generation. CVPR Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert
2020	J	`jnl`	Leveraging 2D Data to Learn Textured 3D Mesh Generation. CoRR Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert
2020	J	`jnl`	Object-Centric Image Generation with Factored Depths, Locations, and Appearances. CoRR Titas Anciukevicius, Christoph H. Lampert, Paul Henderson
2020	A*	`conf`	Unsupervised object-centric video generation and decomposition in 3D. NeurIPS Paul Henderson, Christoph H. Lampert
2020	J	`jnl`	Unsupervised object-centric video generation and decomposition in 3D. CoRR Paul Henderson, Christoph H. Lampert
2019	—	`—`	Advances in scene understanding : object detection, reconstruction, layouts, and inference Paul Henderson
2019	J	`jnl`	Learning single-image 3D reconstruction by generative modelling of shape, pose and shading. CoRR Paul Henderson, Vittorio Ferrari
2018	A	`conf`	Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision. BMVC Paul Henderson, Vittorio Ferrari
2018	J	`jnl`	Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision. CoRR Paul Henderson, Vittorio Ferrari
2017	J	`jnl`	A Generative Model of 3D Object Layouts in Apartments. CoRR Paul Henderson, Vittorio Ferrari
2016	—	`conf`	Automatically Selecting Inference Algorithms for Discrete Energy Minimisation. ECCV (5) Paul Henderson, Vittorio Ferrari
2016	—	`conf`	End-to-End Training of Object Class Detectors for Mean Average Precision. ACCV (5) Paul Henderson, Vittorio Ferrari
2016	J	`jnl`	End-to-end training of object class detectors for mean average precision. CoRR Paul Henderson, Vittorio Ferrari
2015	J	`jnl`	Automatically selecting inference algorithms for discrete energy minimisation. CoRR Paul Henderson, Vittorio Ferrari