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 (ICIP (2), 1996)

Geometric algebra: a framework for computing point and line correspondences and projective structure using n uncalibrated cameras. - Eduardo Bayro-Corrochano; Joan Lasenby; Gerald Sommer (ICPR, 1996)

A new methodology for computing invariants in computer vision. - Joan Lasenby; Eduardo Bayro-Corrochano; Anthony N. Lasenby; Gerald Sommer (ICPR, 1996)

A Unified Language for Computer Vision and Robotics. - Eduardo Bayro-Corrochano; Joan Lasenby (AFPAC, 1997)

Computing 3D Projective Invariants from Points and Lines. - Joan Lasenby; Eduardo Bayro-Corrochano (CAIP, 1997)

What can Grassmann, Hamilton and Clifford tell us about Computer Vision and Robotics. - Eduardo Bayro-Corrochano; Joan Lasenby; Gerald Sommer (DAGM-Symposium, 1997)

Efficient Region Segmentation through "Creep-and-Merge". - Antranig Basman; Joan Lasenby; Roberto Cipolla (ICIAP (1), 1997)

Applications of the "Creep-and-Merge" System: Corner Detection. - Antranig Basman; Joan Lasenby; Roberto Cipolla (BMVC, 1998)

A Geometric Analysis of the Trifocal Tensor. - Christian Perwass; Joan Lasenby (IVCNZ, 1998)

Decomplexifying the Absolute Conic. - Adam X. S. Stevenson; Joan Lasenby (IVCNZ, 1998)

New Geometric Methods for Computer Vision: An Application to Structure and Motion Estimation. - Joan Lasenby; William J. Fitzgerald 001; Anthony N. Lasenby; C. J. L. Doran (Int. J. Comput. Vis., 1998)

Analysis and Computation of Projective Invariants from Multiple Views in the Geometric Algebra Framework. - Joan Lasenby; Eduardo Bayro-Corrochano (Int. J. Pattern Recognit. Artif. Intell., 1999)

Modelling Motion: Tracking, Analysis and Inverse Kinematics. - Joan Lasenby; Sahan Gamage; Maurice Ringer (AFPAC, 2000)

Estimation and Tracking of Articulated Motion Using Geometric Algebra. - Hiniduam Udugama Gamage Sahan Sajeewa; Joan Lasenby (AFPAC, 2000)

Modelling and Tracking Articulated Motion from Multiple Camera Views. - Maurice Ringer; Joan Lasenby (BMVC, 2000)

Surface Evolution and Representation using Geometric Algebra. - Anthony N. Lasenby; Joan Lasenby (IMA Conference on the Mathematics of Surfaces, 2000)

Using occlusions to aid position estimation for visual motion capture. - Maurice Ringer; Tom Drummond; Joan Lasenby (CVPR (2), 2001)

Multiple Hypothesis Tracking for Automatic Optical Motion Capture. - Maurice Ringer; Joan Lasenby (ECCV (1), 2002)

Conformal Geometry, Euclidean Space and Geometric Algebra - Chris Doran; Anthony N. Lasenby; Joan Lasenby (CoRR, 2002)

Applications of Conformal Geometric Algebra in Computer Vision and Graphics. - Rich Wareham; Jonathan Cameron; Joan Lasenby (IWMM/GIAE, 2004)

Markerless motion capture with single and multiple cameras. - Paris Kaimakis; Joan Lasenby (ICIP, 2004)

A procedure for automatically estimating model parameters in optical motion capture. - Maurice Ringer; Joan Lasenby (Image Vis. Comput., 2004)

A real-time sequential algorithm for human joint localization. - Jonathan Cameron; Joan Lasenby (SIGGRAPH Posters, 2005)

3D human motion compression using wavelet decomposition. - Chao-Hua Lee; Joan Lasenby (SIGGRAPH Research Posters, 2006)

Shape from Texture: Fast Estimation of Planar Surface Orientation via Fourier Analysis. - Fabio Galasso; Joan Lasenby (BMVC, 2007)

Shape from Texture of Developable Surfaces Via Fourier Analysis. - Fabio Galasso; Joan Lasenby (ISVC (1), 2007)

Gradient-Based Hand Tracking Using Silhouette Data. - Paris Kaimakis; Joan Lasenby (ISVC (1), 2007)

A compact representation for articulated human motion. - Chao-Hua Lee; Joan Lasenby (SIGGRAPH Posters, 2007)

A fast mesh deformation tool for blender. - James Verrill; Joan Lasenby (SIGGRAPH Posters, 2007)

Predicting Missing Markers to Drive Real-Time Centre of Rotation Estimation. - Andreas Aristidou; Jonathan Cameron; Joan Lasenby (AMDO, 2008)

Estimating Human Skeleton Parameters and Configuration in Real-Time from Markered Optical Motion Capture. - Jonathan Cameron; Joan Lasenby (AMDO, 2008)

Bone Glow: An Improved Method for the Assignment of Weights for Mesh Deformation. - Rich Wareham; Joan Lasenby (AMDO, 2008)

Mesh Vertex Pose and Position Interpolation Using Geometric Algebra. - Rich Wareham; Joan Lasenby (AMDO, 2008)

The perceptual influences on gait transition of step parameters and optic flow in virtual environment locomotion simulators. - Huan Dong; Adar Pelah; Jonathan Cameron; Joan Lasenby (APGV, 2008)

Shape from Texture Via Fourier Analysis. - Fabio Galasso; Joan Lasenby (ISVC (1), 2008)

An Efficient Wavelet-Based Framework for Articulated Human Motion Compression. - Chao-Hua Lee; Joan Lasenby (ISVC (1), 2008)

Step synchronization and third person speed perception in virtual environment locomotion simulators. - Sonja Lehtinen; Clara Cheung; Adar Pelah; Jonathan Cameron; Joan Lasenby (APGV, 2009)

Visualizations for locomotor learning with real time feedback in VR. - Andrew Nanapragasam; Adar Pelah; Jonathan Cameron; Joan Lasenby (APGV, 2009)

Fourier analysis and Gabor filtering for texture analysis and local reconstruction of general shapes. - Fabio Galasso; Joan Lasenby (CVPR, 2009)

Physiological modelling for improved reliability in silhouette-driven gradient-based hand tracking. - Paris Kaimakis; Joan Lasenby (CVPR Workshops, 2009)

Foot Contact Detection for Sprint Training. - Robert K. Harle; Jonathan Cameron; Joan Lasenby (ACCV Workshops (1), 2010)

Influence of step frequency on visual speed perception during locomotion. - Rachael Casey; Adar Pelah; Jonathan Cameron; Joan Lasenby (APGV, 2010)

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 (BMVC, 2010)

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 (PerCom Workshops, 2010)

Inverse Kinematics Solutions Using Conformal Geometric Algebra. - Andreas Aristidou; Joan Lasenby (Guide to Geometric Algebra in Practice, 2011)

Attitude and Position Tracking. - Liam Candy; Joan Lasenby (Guide to Geometric Algebra in Practice, 2011)

Model-Fitting for Automated and Robust Determination of Pulmonary Oxygen Exchange. - Nick Fung; Joan Lasenby; J. Gareth Jones; Rob Ross Russell (Intelligent Environments (Workshops), 2011)

Simulation of breathing for medical applications. - Thierry J. Maldonado; Joan Lasenby (SIGGRAPH Posters, 2011)

FABRIK: A fast, iterative solver for the Inverse Kinematics problem. - Andreas Aristidou; Joan Lasenby (Graph. Model., 2011)

Deformation Measurement of a Human Chest Experiencing Global Motion. - Stuart Bennett; Joan Lasenby (AMDO, 2012)

Towards real-time profiling of sprints using wearable pressure sensors. - Robert K. Harle; Salman Taherian; Marcelo Pias; George Coulouris; Andy Hopper; Jonathan Cameron; Joan Lasenby; Gregor Kuntze; Ian N. Bezodis; G. Irwin; David G. Kerwin (Comput. Commun., 2012)

Direction and polarisation estimation using polarised cylindrical conformal arrays. - L. Zou; Joan Lasenby; Z. He (IET Signal Process., 2012)

Synchronization of user-generated videos through trajectory correspondence and a refinement procedure. - Sukrit Shankar; Joan Lasenby; Anil C. Kokaram (CVMP, 2013)

Semantic Transform: Weakly Supervised Semantic Inference for Relating Visual Attributes. - Sukrit Shankar; Joan Lasenby; Roberto Cipolla (ICCV, 2013)

Multilinear function factorisation for time series feature extraction. - Michael G. Burke; Joan Lasenby (DSP, 2013)

Robust recognition of chess-boards under deformation. - Stuart Bennett; Joan Lasenby (ICIP, 2013)

Warping trajectories for video synchronization. - Sukrit Shankar; Joan Lasenby; Anil C. Kokaram (ARTEMIS@ACM Multimedia, 2013)

Real-time marker prediction and CoR estimation in optical motion capture. - Andreas Aristidou; Joan Lasenby (Vis. Comput., 2013)

Fast Upper Body Joint Tracking Using Kinect Pose Priors. - Michael G. Burke; Joan Lasenby (AMDO, 2014)

Reconstruction of the Pose of Uncalibrated Cameras via User-Generated Videos. - Stuart Bennett; Joan Lasenby; Anil C. Kokaram; Sasi Inguva; Neil Birkbeck (ICDSC, 2014)

Single camera pose estimation using Bayesian filtering and Kinect motion priors. - Michael G. Burke; Joan Lasenby (CoRR, 2014)

ChESS - Quick and robust detection of chess-board features. - Stuart Bennett; Joan Lasenby (Comput. Vis. Image Underst., 2014)

Special Issue in Honour of William J. (Bill) Fitzgerald. - Ercan E. Kuruoglu; Joan Lasenby; A. Taylan Cemgil; Anil C. Kokaram; Robin D. Morris (Digit. Signal Process., 2015)

Pantomimic Gestures for Human-Robot Interaction. - Michael G. Burke; Joan Lasenby (IEEE Trans. Robotics, 2015)

Extending FABRIK with model constraints. - Andreas Aristidou; Yiorgos Chrysanthou; Joan Lasenby (Comput. Animat. Virtual Worlds, 2016)

Virtual tracking shots for sports analysis. - Stuart Bennett; Joan Lasenby; Tony Purnell (Computer Vision Applications in Sports, 2017)

Aerodynamic analysis via foreground segmentation. - Peter Carey; Stuart Bennett; Joan Lasenby; Tony Purnell (Computer Vision Applications in Sports, 2017)

Visualizing LSTM decisions. - Jos van der Westhuizen; Joan Lasenby (CoRR, 2017)

Bayesian LSTMs in medicine. - Jos van der Westhuizen; Joan Lasenby (CoRR, 2017)

Inverse Kinematics Techniques in Computer Graphics: A Survey. - Andreas Aristidou; Joan Lasenby; Yiorgos Chrysanthou; Ariel Shamir (Comput. Graph. Forum, 2018)

The unreasonable effectiveness of the forget gate. - Jos van der Westhuizen; Joan Lasenby (CoRR, 2018)

Ray-Tracing Objects and Novel Surface Representations in CGA. - Sushant Achawal; Joan Lasenby; Hugo Hadfield; Anthony N. Lasenby (CGI, 2019)

Surface Fitting Using Dual Quaternion Control Points with Applications in Human Respiratory Modelling. - Alex Grafton; Joan Lasenby (CGI, 2020)

Constrained Dynamics in Conformal and Projective Geometric Algebra. - Hugo Hadfield; Joan Lasenby (CGI, 2020)

The Forward and Inverse Kinematics of a Delta Robot. - Hugo Hadfield; Lai Wei; Joan Lasenby (CGI, 2020)

Convolutional Neural Networks applied to sky images for short-term solar irradiance forecasting. - Quentin Paletta; Joan Lasenby (CoRR, 2020)

Pre-Training by Completing Point Clouds. - Hanchen Wang 002; Qi Liu 049; Xiangyu Yue 001; Joan Lasenby; Matthew J. Kusner (CoRR, 2020)

A Temporally Consistent Image-based Sun Tracking Algorithm for Solar Energy Forecasting Applications. - Quentin Paletta; Joan Lasenby (CoRR, 2020)

Unsupervised Point Cloud Pre-training via Occlusion Completion. - Hanchen Wang 002; Qi Liu 049; Xiangyu Yue 001; Joan Lasenby; Matt J. Kusner (ICCV, 2021)

Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images - an in-depth Analysis. - Quentin Paletta; Guillaume Arbod; Joan Lasenby (CoRR, 2021)

ECLIPSE : Envisioning Cloud Induced Perturbations in Solar Energy. - Quentin Paletta; Anthony Hu 001; Guillaume Arbod; Joan Lasenby (CoRR, 2021)

Redesigning Fully Convolutional DenseUNets for Large Histopathology Images. - Juan P. Vigueras-Guillén; Joan Lasenby; Frank Seeliger (CoRR, 2021)

Rotaflip: A New CNN Layer for Regularization and Rotational Invariance in Medical Images. - Juan P. Vigueras-Guillén; Joan Lasenby; Frank Seeliger (CoRR, 2021)

Closed-form solutions for the inverse kinematics of serial robots using conformal geometric algebra. - Isiah Zaplana; Hugo Hadfield; Joan Lasenby (CoRR, 2021)

Singularities of serial robots: Identification and distance computation using geometric algebra. - Isiah Zaplana; Hugo Hadfield; Joan Lasenby (CoRR, 2021)

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. - Xiang Bai; Hanchen Wang 002; Liya Ma; Yongchao Xu; Jiefeng Gan; Ziwei Fan 005; Fan Yang 038; Ke Ma; Jiehua Yang; Song Bai 001; Chang Shu; Xinyu Zou; et al. (CoRR, 2021)

Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. - Xiang Bai; Hanchen Wang 002; Liya Ma; Yongchao Xu; Jiefeng Gan; Ziwei Fan 005; Fan Yang 038; Ke Ma; Jiehua Yang; Song Bai 001; Chang Shu; Xinyu Zou; et al. (Nat. Mach. Intell., 2021)

Neural random subspace. - Yun-Hao Cao; Jianxin Wu 001; Hanchen Wang 002; Joan Lasenby (Pattern Recognit., 2021)

SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting. - Quentin Paletta; Anthony Hu 001; Guillaume Arbod; Philippe Blanc; Joan Lasenby (CVPR Workshops, 2022)

Using a Graph Transformer Network to Predict 3D Coordinates of Proteins via Geometric Algebra Modelling. - Alberto Pepe; Joan Lasenby; Pablo Chacón (ENGAGE, 2022)

Pre-training Molecular Graph Representation with 3D Geometry. - Shengchao Liu; Hanchen Wang 002; Weiyang Liu; Joan Lasenby; Hongyu Guo; Jian Tang 005 (ICLR, 2022)

Omnivision forecasting: combining satellite observations with sky images for improved intra-hour solar energy predictions. - Quentin Paletta; Guillaume Arbod; Joan Lasenby (CoRR, 2022)

Evaluating Self-Supervised Learning for Molecular Graph Embeddings. - Hanchen Wang 002; Jean Kaddour; Shengchao Liu; Jian Tang 005; Matt J. Kusner; Joan Lasenby; Qi Liu 049 (CoRR, 2022)

Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning? - Yuhao Nie; Quentin Paletta; Andea Scott; Luis Martin Pomares; Guillaume Arbod; Sgouris Sgouridis; Joan Lasenby; Adam Brandt (CoRR, 2022)

Editorial: New Virtual Reality and Spatial Computing Applications to Empower, Upskill and Reskill Medical Professionals in a Post-Pandemic Era. - George Papagiannakis; Manos N. Kamarianakis; Thomas C. Sauter; Alan Chalmers; Joan Lasenby; Daniele Di Lernia; Walter J. Greenleaf (Frontiers Virtual Real., 2022)

Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. - Xiang Bai; Hanchen Wang 002; Liya Ma; Yongchao Xu; Jiefeng Gan; Ziwei Fan 005; Fan Yang 038; Ke Ma; Jiehua Yang; Song Bai 001; Chang Shu; Xinyu Zou; et al. (Nat. Mach. Intell., 2022)

Spatiotemporal Attention-Based Graph Convolution Network for Segment-Level Traffic Prediction. - Duo Li; Joan Lasenby (IEEE Trans. Intell. Transp. Syst., 2022)

Evaluating Self-Supervised Learning for Molecular Graph Embeddings. - Hanchen Wang 002; Jean Kaddour; Shengchao Liu; Jian Tang 005; Joan Lasenby; Qi Liu 049 (NeurIPS, 2023)

A Geometric Algebra Solution to the 3D Registration Problem. - Charalampos Matsantonis; Joan Lasenby (TAROS, 2023)

CGA-PoseNet: Camera Pose Regression via a 1D-Up Approach to Conformal Geometric Algebra. - Alberto Pepe; Joan Lasenby (CoRR, 2023)

Scientific discovery in the age of artificial intelligence. - Hanchen Wang 002; Tianfan Fu; Yuanqi Du; Wenhao Gao 001; Kexin Huang; Ziming Liu; Payal Chandak; Shengchao Liu; Peter Van Katwyk; Andreea Deac; Anima Anandkumar; Karianne Bergen; et al. (Nat., 2023)

OpenIns3D: Snap and Lookup for 3D Open-Vocabulary Instance Segmentation. - Zhening Huang; Xiaoyang Wu 002; Xi Chen 042; Hengshuang Zhao; Lei Zhu 003; Joan Lasenby (ECCV (62), 2024)

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 (HealthCom, 2024)

Clifford Group Equivariant Neural Network Layers for Protein Structure Prediction. - Alberto Pepe; Sven Buchholz 003; Joan Lasenby (NLDL, 2024)

CGAPoseNet+GCAN: A Geometric Clifford Algebra Network for Geometry-aware Camera Pose Regression. - Alberto Pepe; Joan Lasenby; Sven Buchholz 003 (WACV, 2024)

OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding. - Francis Engelmann; Ayça Takmaz; Jonas Schult; Elisabetta Fedele; Johanna Wald; Songyou Peng; Xi Wang 021; Or Litany; Siyu Tang 001; Federico Tombari; Marc Pollefeys; Leonidas J. Guibas; et al. (CoRR, 2024)

STAResNet: a Network in Spacetime Algebra to solve Maxwell's PDEs. - Alberto Pepe; Sven Buchholz 003; Joan Lasenby (CoRR, 2024)

Imagination-Augmented Reinforcement Learning Framework for Variable Speed Limit Control. - Duo Li; Joan Lasenby (IEEE Trans. Intell. Transp. Syst., 2024)

Define, Refine, Align: Correspondence-free 3D Line Alignment with Attentional, Equivariant and Rotational Layers. - Alberto Pepe; Yuxin Yao; Joan Lasenby (CVPR Workshops, 2025)

SmallGS: Gaussian Splatting-based Camera Pose Estimation for Small-Baseline Videos. - Yuxin Yao; Yan Zhang; Zhening Huang; Joan Lasenby (CVPR Workshops, 2025)

Fengbo: a Clifford Neural Operator pipeline for 3D PDEs in Computational Fluid Dynamics. - Alberto Pepe; Mattia Montanari; Joan Lasenby (ICLR, 2025)

LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans. - Zhening Huang; Xiaoyang Wu 002; Fangcheng Zhong; Hengshuang Zhao; Matthias Nießner; Joan Lasenby (CoRR, 2025)