| 2025 | CVPR | Define, Refine, Align: Correspondence-free 3D Line Alignment with Attentional, Equivariant and Rotational Layers. | Alberto Pepe, Yuxin Yao, Joan Lasenby |
| 2025 | CVPR | SmallGS: Gaussian Splatting-based Camera Pose Estimation for Small-Baseline Videos. | Yuxin Yao, Yan Zhang, Zhening Huang, Joan Lasenby |
| 2025 | ICCV | Geometric Inductive Priors in Diffusion-Based Optical Flow Estimation. | Alberto Pepe, Joan Lasenby, Paulo dos Santos Mendonca |
| 2025 | ICLR | Fengbo: a Clifford Neural Operator pipeline for 3D PDEs in Computational Fluid Dynamics. | Alberto Pepe, Mattia Montanari, Joan Lasenby |
| 2025 | SIGGRAPH | AutoKeyframe: Autoregressive Keyframe Generation for Human Motion Synthesis and Editing. | Bowen Zheng, Ke Chen, Yuxin Yao, Zijiao Zeng, Xinwei Jiang, He Wang, Joan Lasenby, Xiaogang Jin |
| 2024 | ECCV | OpenIns3D: Snap and Lookup for 3D Open-Vocabulary Instance Segmentation. | Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby |
| 2024 | HealthCom | Advancing Neonatal Care: A Deep Learning Approach for Non-Contact Heart Rate Monitoring. | Alex Grafton, Alejandra Castelblanco, Joana M. Warnecke, Lynn Thomson, Benjamin Schubert, Anne Hilgendorff, Julia A. Schnabel, Joan Lasenby, Kathryn Beardsall |
| 2024 | WACV | CGAPoseNet+GCAN: A Geometric Clifford Algebra Network for Geometry-aware Camera Pose Regression. | Alberto Pepe, Joan Lasenby, Sven Buchholz |
| 2022 | CVPR | SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting. | Quentin Paletta, Anthony Hu, Guillaume Arbod, Philippe Blanc, Joan Lasenby |
| 2022 | ICLR | Pre-training Molecular Graph Representation with 3D Geometry. | Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang |
| 2021 | ICCV | Unsupervised Point Cloud Pre-training via Occlusion Completion. | Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matt J. Kusner |
| 2020 | CGI | Surface Fitting Using Dual Quaternion Control Points with Applications in Human Respiratory Modelling. | Alex Grafton, Joan Lasenby |
| 2020 | CGI | Constrained Dynamics in Conformal and Projective Geometric Algebra. | Hugo Hadfield, Joan Lasenby |
| 2020 | CGI | The Forward and Inverse Kinematics of a Delta Robot. | Hugo Hadfield, Lai Wei, Joan Lasenby |
| 2019 | CGI | Ray-Tracing Objects and Novel Surface Representations in CGA. | Sushant Achawal, Joan Lasenby, Hugo Hadfield, Anthony N. Lasenby |
| 2013 | ICCV | Semantic Transform: Weakly Supervised Semantic Inference for Relating Visual Attributes. | Sukrit Shankar, Joan Lasenby, Roberto Cipolla |
| 2013 | ICIP | Robust recognition of chess-boards under deformation. | Stuart Bennett, Joan Lasenby |
| 2011 | SIGGRAPH | Simulation of breathing for medical applications. | Thierry J. Maldonado, Joan Lasenby |
| 2010 | ACCV | Foot Contact Detection for Sprint Training. | Robert K. Harle, Jonathan Cameron, Joan Lasenby |
| 2010 | BMVC | SLP: A Zero-Contact Non-Invasive Method for Pulmonary Function Testing. | Willem de Boer, Joan Lasenby, Jonathan Cameron, Rich Wareham, Shiraz Ahmad, Charlotte Roach, Ward Hills, Richard Iles |
| 2010 | PERCOM | Profiling sprints using on-body sensors. | Salman Taherian, Marcelo Pias, Robert K. Harle, George Coulouris, Simon Hay, Jonathan Cameron, Joan Lasenby, Gregor Kuntze, Ian N. Bezodis, G. Irwin, David G. Kerwin |
| 2009 | CVPR | Fourier analysis and Gabor filtering for texture analysis and local reconstruction of general shapes. | Fabio Galasso, Joan Lasenby |
| 2009 | CVPR | Physiological modelling for improved reliability in silhouette-driven gradient-based hand tracking. | Paris Kaimakis, Joan Lasenby |
| 2008 | ISVC | Shape from Texture Via Fourier Analysis. | Fabio Galasso, Joan Lasenby |
| 2008 | ISVC | An Efficient Wavelet-Based Framework for Articulated Human Motion Compression. | Chao-Hua Lee, Joan Lasenby |
| 2007 | BMVC | Shape from Texture: Fast Estimation of Planar Surface Orientation via Fourier Analysis. | Fabio Galasso, Joan Lasenby |
| 2007 | ISVC | Shape from Texture of Developable Surfaces Via Fourier Analysis. | Fabio Galasso, Joan Lasenby |
| 2007 | ISVC | Gradient-Based Hand Tracking Using Silhouette Data. | Paris Kaimakis, Joan Lasenby |
| 2007 | SIGGRAPH | A compact representation for articulated human motion. | Chao-Hua Lee, Joan Lasenby |
| 2007 | SIGGRAPH | A fast mesh deformation tool for blender. | James Verrill, Joan Lasenby |
| 2006 | SIGGRAPH | 3D human motion compression using wavelet decomposition. | Chao-Hua Lee, Joan Lasenby |
| 2005 | SIGGRAPH | A real-time sequential algorithm for human joint localization. | Jonathan Cameron, Joan Lasenby |
| 2004 | ICIP | Markerless motion capture with single and multiple cameras. | Paris Kaimakis, Joan Lasenby |
| 2002 | BMVC | A Procedure for Automatically Estimating Model Parameters in Optical Motion Capture. | Maurice Ringer, Joan Lasenby |
| 2002 | ECCV | Multiple Hypothesis Tracking for Automatic Optical Motion Capture. | Maurice Ringer, Joan Lasenby |
| 2001 | CVPR | Using occlusions to aid position estimation for visual motion capture. | Maurice Ringer, Tom Drummond, Joan Lasenby |
| 2000 | BMVC | Modelling and Tracking Articulated Motion from Multiple Camera Views. | Maurice Ringer, Joan Lasenby |
| 1998 | BMVC | Applications of the "Creep-and-Merge" System: Corner Detection. | Antranig Basman, Joan Lasenby, Roberto Cipolla |
| 1998 | IVCNZ | A Geometric Analysis of the Trifocal Tensor. | Christian Perwass, Joan Lasenby |
| 1998 | IVCNZ | Decomplexifying the Absolute Conic. | Adam X. S. Stevenson, Joan Lasenby |
| 1997 | CAIP | Computing 3D Projective Invariants from Points and Lines. | Joan Lasenby, Eduardo Bayro-Corrochano |
| 1997 | ICIAP | Efficient Region Segmentation through "Creep-and-Merge". | Antranig Basman, Joan Lasenby, Roberto Cipolla |
| 1996 | ICIP | A new framework for the formation of invariants and multiple-view constraints in computer vision. | Joan Lasenby, Eduardo Bayro-Corrochano, Anthony N. Lasenby, Gerald Sommer |
| 1996 | ICPR | Geometric algebra: a framework for computing point and line correspondences and projective structure using n uncalibrated cameras. | Eduardo Bayro-Corrochano, Joan Lasenby, Gerald Sommer |
| 1996 | ICPR | A new methodology for computing invariants in computer vision. | Joan Lasenby, Eduardo Bayro-Corrochano, Anthony N. Lasenby, Gerald Sommer |