Joan Lasenby - RankMe

125 papers A* 6A 6B 5C 6Misc 2Journal 50Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Camera-Controlled Video Generation of Static Scenes via Sparse Diffusion and 3D Rendering. CoRR Jieying Chen, Jeffrey Hu, Joan Lasenby, Ayush Tewari
2025	—	`conf`	AutoKeyframe: Autoregressive Keyframe Generation for Human Motion Synthesis and Editing. SIGGRAPH (Conference Paper Track) Bowen Zheng, Ke Chen, Yuxin Yao, Zijiao Zeng, Xinwei Jiang, He Wang, Joan Lasenby, Xiaogang Jin
2025	—	`conf`	Define, Refine, Align: Correspondence-free 3D Line Alignment with Attentional, Equivariant and Rotational Layers. CVPR Workshops Alberto Pepe, Yuxin Yao, Joan Lasenby
2025	A*	`conf`	Fengbo: a Clifford Neural Operator pipeline for 3D PDEs in Computational Fluid Dynamics. ICLR Alberto Pepe, Mattia Montanari, Joan Lasenby
2025	—	`conf`	Geometric Inductive Priors in Diffusion-Based Optical Flow Estimation. ICCVW Alberto Pepe, Joan Lasenby, Paulo dos Santos Mendonca
2025	J	`jnl`	LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans. CoRR Zhening Huang, Xiaoyang Wu, Fangcheng Zhong, Hengshuang Zhao, Matthias Nießner, Joan Lasenby
2025	J	`jnl`	Neonatal pose estimation in the unaltered clinical environment with fusion of RGB, depth and IR images. npj Digit. Medicine Alex Grafton, Joana M. Warnecke, Maxwell Li, Eric He, Lynn Thomson, Kathryn Beardsall, Joan Lasenby
2025	J	`jnl`	Particulate: Feed-Forward 3D Object Articulation. CoRR Ruining Li, Yuxin Yao, Chuanxia Zheng, Christian Rupprecht, Joan Lasenby, Shangzhe Wu, Andrea Vedaldi
2025	—	`conf`	SmallGS: Gaussian Splatting-based Camera Pose Estimation for Small-Baseline Videos. CVPR Workshops Yuxin Yao, Yan Zhang, Zhening Huang, Joan Lasenby
2025	J	`jnl`	SmallGS: Gaussian Splatting-based Camera Pose Estimation for Small-Baseline Videos. CoRR Yuxin Yao, Yan Zhang, Zhening Huang, Joan Lasenby
2025	J	`jnl`	SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and Time. CoRR Zhening Huang, Hyeonho Jeong, Xuelin Chen, Yulia Gryaditskaya, Tuanfeng Y. Wang, Joan Lasenby, Chun-Hao Huang
2024	C	`conf`	Advancing Neonatal Care: A Deep Learning Approach for Non-Contact Heart Rate Monitoring. HealthCom Alex Grafton, Alejandra Castelblanco, Joana M. Warnecke, Lynn Thomson, Benjamin Schubert, Anne Hilgendorff, Julia A. Schnabel, Joan Lasenby, Kathryn Beardsall
2024	A	`conf`	CGAPoseNet+GCAN: A Geometric Clifford Algebra Network for Geometry-aware Camera Pose Regression. WACV Alberto Pepe, Joan Lasenby, Sven Buchholz
2024	—	`conf`	Clifford Group Equivariant Neural Network Layers for Protein Structure Prediction. NLDL Alberto Pepe, Sven Buchholz, Joan Lasenby
2024	J	`jnl`	Imagination-Augmented Reinforcement Learning Framework for Variable Speed Limit Control. IEEE Trans. Intell. Transp. Syst. Duo Li, Joan Lasenby
2024	—	`conf`	OpenIns3D: Snap and Lookup for 3D Open-Vocabulary Instance Segmentation. ECCV (62) Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby
2024	J	`jnl`	OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding. CoRR Francis Engelmann, Ayça Takmaz, Jonas Schult, Elisabetta Fedele, Johanna Wald, Songyou Peng, Xi Wang, Or Litany, Siyu Tang, Federico Tombari, Marc Pollefeys, Leonidas J. Guibas, Hongbo Tian, Chunjie Wang, Xiaosheng Yan, Bingwen Wang, Xuanyang Zhang, Xiao Liu, Phuc Nguyen, Khoi Nguyen, Anh Tran, Cuong Pham, Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby
2024	J	`jnl`	STAResNet: a Network in Spacetime Algebra to solve Maxwell's PDEs. CoRR Alberto Pepe, Sven Buchholz, Joan Lasenby
2023	—	`conf`	A Geometric Algebra Solution to the 3D Registration Problem. TAROS Charalampos Matsantonis, Joan Lasenby
2023	J	`jnl`	CGA-PoseNet: Camera Pose Regression via a 1D-Up Approach to Conformal Geometric Algebra. CoRR Alberto Pepe, Joan Lasenby
2023	A*	`conf`	Evaluating Self-Supervised Learning for Molecular Graph Embeddings. NeurIPS Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu
2023	J	`jnl`	OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation. CoRR Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby
2023	J	`jnl`	Scientific discovery in the age of artificial intelligence. Nat. Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun K. Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik
2022	J	`jnl`	Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia
2022	J	`jnl`	Editorial: New Virtual Reality and Spatial Computing Applications to Empower, Upskill and Reskill Medical Professionals in a Post-Pandemic Era. Frontiers Virtual Real. George Papagiannakis, Manos N. Kamarianakis, Thomas C. Sauter, Alan Chalmers, Joan Lasenby, Daniele Di Lernia, Walter J. Greenleaf
2022	J	`jnl`	Evaluating Self-Supervised Learning for Molecular Graph Embeddings. CoRR Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Matt J. Kusner, Joan Lasenby, Qi Liu
2022	J	`jnl`	Omnivision forecasting: combining satellite observations with sky images for improved intra-hour solar energy predictions. CoRR Quentin Paletta, Guillaume Arbod, Joan Lasenby
2022	A*	`conf`	Pre-training Molecular Graph Representation with 3D Geometry. ICLR Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
2022	—	`conf`	SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting. CVPR Workshops Quentin Paletta, Anthony Hu, Guillaume Arbod, Philippe Blanc, Joan Lasenby
2022	J	`jnl`	Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning? CoRR Yuhao Nie, Quentin Paletta, Andea Scott, Luis Martin Pomares, Guillaume Arbod, Sgouris Sgouridis, Joan Lasenby, Adam Brandt
2022	J	`jnl`	Spatiotemporal Attention-Based Graph Convolution Network for Segment-Level Traffic Prediction. IEEE Trans. Intell. Transp. Syst. Duo Li, Joan Lasenby
2022	—	`conf`	Using a Graph Transformer Network to Predict 3D Coordinates of Proteins via Geometric Algebra Modelling. ENGAGE Alberto Pepe, Joan Lasenby, Pablo Chacón
2021	J	`jnl`	Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. CoRR Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola-Bibiane Schönlieb, Tian Xia
2021	J	`jnl`	Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia
2021	J	`jnl`	Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images - an in-depth Analysis. CoRR Quentin Paletta, Guillaume Arbod, Joan Lasenby
2021	J	`jnl`	Closed-form solutions for the inverse kinematics of serial robots using conformal geometric algebra. CoRR Isiah Zaplana, Hugo Hadfield, Joan Lasenby
2021	J	`jnl`	ECLIPSE : Envisioning Cloud Induced Perturbations in Solar Energy. CoRR Quentin Paletta, Anthony Hu, Guillaume Arbod, Joan Lasenby
2021	J	`jnl`	Neural random subspace. Pattern Recognit. Yun-Hao Cao, Jianxin Wu, Hanchen Wang, Joan Lasenby
2021	J	`jnl`	Pre-training Molecular Graph Representation with 3D Geometry. CoRR Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
2021	J	`jnl`	Redesigning Fully Convolutional DenseUNets for Large Histopathology Images. CoRR Juan P. Vigueras-Guillén, Joan Lasenby, Frank Seeliger
2021	J	`jnl`	Rotaflip: A New CNN Layer for Regularization and Rotational Invariance in Medical Images. CoRR Juan P. Vigueras-Guillén, Joan Lasenby, Frank Seeliger
2021	J	`jnl`	SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting. CoRR Quentin Paletta, Anthony Hu, Guillaume Arbod, Philippe Blanc, Joan Lasenby
2021	J	`jnl`	Singularities of serial robots: Identification and distance computation using geometric algebra. CoRR Isiah Zaplana, Hugo Hadfield, Joan Lasenby
2021	A*	`conf`	Unsupervised Point Cloud Pre-training via Occlusion Completion. ICCV Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matt J. Kusner
2020	J	`jnl`	A Temporally Consistent Image-based Sun Tracking Algorithm for Solar Energy Forecasting Applications. CoRR Quentin Paletta, Joan Lasenby
2020	C	`conf`	Constrained Dynamics in Conformal and Projective Geometric Algebra. CGI Hugo Hadfield, Joan Lasenby
2020	J	`jnl`	Convolutional Neural Networks applied to sky images for short-term solar irradiance forecasting. CoRR Quentin Paletta, Joan Lasenby
2020	J	`jnl`	Pre-Training by Completing Point Clouds. CoRR Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matthew J. Kusner
2020	C	`conf`	Surface Fitting Using Dual Quaternion Control Points with Applications in Human Respiratory Modelling. CGI Alex Grafton, Joan Lasenby
2020	C	`conf`	The Forward and Inverse Kinematics of a Delta Robot. CGI Hugo Hadfield, Lai Wei, Joan Lasenby
2019	C	`conf`	Ray-Tracing Objects and Novel Surface Representations in CGA. CGI Sushant Achawal, Joan Lasenby, Hugo Hadfield, Anthony N. Lasenby
2018	J	`jnl`	Inverse Kinematics Techniques in Computer Graphics: A Survey. Comput. Graph. Forum Andreas Aristidou, Joan Lasenby, Yiorgos Chrysanthou, Ariel Shamir
2018	J	`jnl`	The unreasonable effectiveness of the forget gate. CoRR Jos van der Westhuizen, Joan Lasenby
2017	—	`conf`	Aerodynamic analysis via foreground segmentation. Computer Vision Applications in Sports Peter Carey, Stuart Bennett, Joan Lasenby, Tony Purnell
2017	J	`jnl`	Bayesian LSTMs in medicine. CoRR Jos van der Westhuizen, Joan Lasenby
2017	—	`conf`	Virtual tracking shots for sports analysis. Computer Vision Applications in Sports Stuart Bennett, Joan Lasenby, Tony Purnell
2017	J	`jnl`	Visualizing LSTM decisions. CoRR Jos van der Westhuizen, Joan Lasenby
2016	J	`jnl`	Extending FABRIK with model constraints. Comput. Animat. Virtual Worlds Andreas Aristidou, Yiorgos Chrysanthou, Joan Lasenby
2015	J	`jnl`	Pantomimic Gestures for Human-Robot Interaction. IEEE Trans. Robotics Michael G. Burke, Joan Lasenby
2015	J	`jnl`	Special Issue in Honour of William J. (Bill) Fitzgerald. Digit. Signal Process. Ercan E. Kuruoglu, Joan Lasenby, A. Taylan Cemgil, Anil C. Kokaram, Robin D. Morris
2014	J	`jnl`	ChESS - Quick and robust detection of chess-board features. Comput. Vis. Image Underst. Stuart Bennett, Joan Lasenby
2014	—	`conf`	Fast Upper Body Joint Tracking Using Kinect Pose Priors. AMDO Michael G. Burke, Joan Lasenby
2014	—	`conf`	Reconstruction of the Pose of Uncalibrated Cameras via User-Generated Videos. ICDSC Stuart Bennett, Joan Lasenby, Anil C. Kokaram, Sasi Inguva, Neil Birkbeck
2014	J	`jnl`	Single camera pose estimation using Bayesian filtering and Kinect motion priors. CoRR Michael G. Burke, Joan Lasenby
2013	J	`jnl`	ChESS - Quick and Robust Detection of Chess-board Features CoRR Stuart Bennett, Joan Lasenby
2013	—	`conf`	Multilinear function factorisation for time series feature extraction. DSP Michael G. Burke, Joan Lasenby
2013	J	`jnl`	Real-time marker prediction and CoR estimation in optical motion capture. Vis. Comput. Andreas Aristidou, Joan Lasenby
2013	B	`conf`	Robust recognition of chess-boards under deformation. ICIP Stuart Bennett, Joan Lasenby
2013	A*	`conf`	Semantic Transform: Weakly Supervised Semantic Inference for Relating Visual Attributes. ICCV Sukrit Shankar, Joan Lasenby, Roberto Cipolla
2013	—	`conf`	Synchronization of user-generated videos through trajectory correspondence and a refinement procedure. CVMP Sukrit Shankar, Joan Lasenby, Anil C. Kokaram
2013	—	`conf`	Warping trajectories for video synchronization. ARTEMIS@ACM Multimedia Sukrit Shankar, Joan Lasenby, Anil C. Kokaram
2012	—	`conf`	Deformation Measurement of a Human Chest Experiencing Global Motion. AMDO Stuart Bennett, Joan Lasenby
2012	J	`jnl`	Direction and polarisation estimation using polarised cylindrical conformal arrays. IET Signal Process. L. Zou, Joan Lasenby, Z. He
2012	J	`jnl`	Towards real-time profiling of sprints using wearable pressure sensors. Comput. Commun. 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
2011	—	`ch.`	Attitude and Position Tracking. Guide to Geometric Algebra in Practice Liam Candy, Joan Lasenby
2011	J	`jnl`	FABRIK: A fast, iterative solver for the Inverse Kinematics problem. Graph. Model. Andreas Aristidou, Joan Lasenby
2011	—	`book`	Guide to Geometric Algebra in Practice. Leo Dorst, Joan Lasenby
2011	—	`ch.`	Inverse Kinematics Solutions Using Conformal Geometric Algebra. Guide to Geometric Algebra in Practice Andreas Aristidou, Joan Lasenby
2011	B	`conf`	Model-Fitting for Automated and Robust Determination of Pulmonary Oxygen Exchange. Intelligent Environments (Workshops) Nick Fung, Joan Lasenby, J. Gareth Jones, Rob Ross Russell
2011	—	`conf`	Simulation of breathing for medical applications. SIGGRAPH Posters Thierry J. Maldonado, Joan Lasenby
2010	—	`conf`	Foot Contact Detection for Sprint Training. ACCV Workshops (1) Robert K. Harle, Jonathan Cameron, Joan Lasenby
2010	—	`conf`	Influence of step frequency on visual speed perception during locomotion. APGV Rachael Casey, Adar Pelah, Jonathan Cameron, Joan Lasenby
2010	—	`conf`	Profiling sprints using on-body sensors. PerCom Workshops 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
2010	A	`conf`	SLP: A Zero-Contact Non-Invasive Method for Pulmonary Function Testing. BMVC Willem de Boer, Joan Lasenby, Jonathan Cameron, Rich Wareham, Shiraz Ahmad, Charlotte Roach, Ward Hills, Richard Iles
2009	A*	`conf`	Fourier analysis and Gabor filtering for texture analysis and local reconstruction of general shapes. CVPR Fabio Galasso, Joan Lasenby
2009	—	`conf`	Physiological modelling for improved reliability in silhouette-driven gradient-based hand tracking. CVPR Workshops Paris Kaimakis, Joan Lasenby
2009	—	`conf`	Step synchronization and third person speed perception in virtual environment locomotion simulators. APGV Sonja Lehtinen, Clara Cheung, Adar Pelah, Jonathan Cameron, Joan Lasenby
2009	—	`conf`	Visualizations for locomotor learning with real time feedback in VR. APGV Andrew Nanapragasam, Adar Pelah, Jonathan Cameron, Joan Lasenby
2008	—	`conf`	An Efficient Wavelet-Based Framework for Articulated Human Motion Compression. ISVC (1) Chao-Hua Lee, Joan Lasenby
2008	—	`conf`	Bone Glow: An Improved Method for the Assignment of Weights for Mesh Deformation. AMDO Rich Wareham, Joan Lasenby
2008	—	`conf`	Estimating Human Skeleton Parameters and Configuration in Real-Time from Markered Optical Motion Capture. AMDO Jonathan Cameron, Joan Lasenby
2008	—	`conf`	Mesh Vertex Pose and Position Interpolation Using Geometric Algebra. AMDO Rich Wareham, Joan Lasenby
2008	—	`conf`	Predicting Missing Markers to Drive Real-Time Centre of Rotation Estimation. AMDO Andreas Aristidou, Jonathan Cameron, Joan Lasenby
2008	—	`conf`	Shape from Texture Via Fourier Analysis. ISVC (1) Fabio Galasso, Joan Lasenby
2008	—	`conf`	The perceptual influences on gait transition of step parameters and optic flow in virtual environment locomotion simulators. APGV Huan Dong, Adar Pelah, Jonathan Cameron, Joan Lasenby
2007	—	`conf`	A compact representation for articulated human motion. SIGGRAPH Posters Chao-Hua Lee, Joan Lasenby
2007	—	`conf`	A fast mesh deformation tool for blender. SIGGRAPH Posters James Verrill, Joan Lasenby
2007	—	`conf`	Gradient-Based Hand Tracking Using Silhouette Data. ISVC (1) Paris Kaimakis, Joan Lasenby
2007	—	`conf`	Shape from Texture of Developable Surfaces Via Fourier Analysis. ISVC (1) Fabio Galasso, Joan Lasenby
2007	A	`conf`	Shape from Texture: Fast Estimation of Planar Surface Orientation via Fourier Analysis. BMVC Fabio Galasso, Joan Lasenby
2006	—	`conf`	3D human motion compression using wavelet decomposition. SIGGRAPH Research Posters Chao-Hua Lee, Joan Lasenby
2005	—	`conf`	A real-time sequential algorithm for human joint localization. SIGGRAPH Posters Jonathan Cameron, Joan Lasenby
2004	J	`jnl`	A procedure for automatically estimating model parameters in optical motion capture. Image Vis. Comput. Maurice Ringer, Joan Lasenby
2004	—	`conf`	Applications of Conformal Geometric Algebra in Computer Vision and Graphics. IWMM/GIAE Rich Wareham, Jonathan Cameron, Joan Lasenby
2004	B	`conf`	Markerless motion capture with single and multiple cameras. ICIP Paris Kaimakis, Joan Lasenby
2002	A	`conf`	A Procedure for Automatically Estimating Model Parameters in Optical Motion Capture. BMVC Maurice Ringer, Joan Lasenby
2002	J	`jnl`	Conformal Geometry, Euclidean Space and Geometric Algebra CoRR Chris Doran, Anthony N. Lasenby, Joan Lasenby
2002	—	`conf`	Multiple Hypothesis Tracking for Automatic Optical Motion Capture. ECCV (1) Maurice Ringer, Joan Lasenby
2001	—	`conf`	Using occlusions to aid position estimation for visual motion capture. CVPR (2) Maurice Ringer, Tom Drummond, Joan Lasenby
2000	—	`conf`	Estimation and Tracking of Articulated Motion Using Geometric Algebra. AFPAC Hiniduam Udugama Gamage Sahan Sajeewa, Joan Lasenby
2000	—	`conf`	Modelling Motion: Tracking, Analysis and Inverse Kinematics. AFPAC Joan Lasenby, Sahan Gamage, Maurice Ringer
2000	A	`conf`	Modelling and Tracking Articulated Motion from Multiple Camera Views. BMVC Maurice Ringer, Joan Lasenby
2000	—	`conf`	Surface Evolution and Representation using Geometric Algebra. IMA Conference on the Mathematics of Surfaces Anthony N. Lasenby, Joan Lasenby
1999	J	`jnl`	Analysis and Computation of Projective Invariants from Multiple Views in the Geometric Algebra Framework. Int. J. Pattern Recognit. Artif. Intell. Joan Lasenby, Eduardo Bayro-Corrochano
1998	Misc	`conf`	A Geometric Analysis of the Trifocal Tensor. IVCNZ Christian Perwass, Joan Lasenby
1998	A	`conf`	Applications of the "Creep-and-Merge" System: Corner Detection. BMVC Antranig Basman, Joan Lasenby, Roberto Cipolla
1998	Misc	`conf`	Decomplexifying the Absolute Conic. IVCNZ Adam X. S. Stevenson, Joan Lasenby
1998	J	`jnl`	New Geometric Methods for Computer Vision: An Application to Structure and Motion Estimation. Int. J. Comput. Vis. Joan Lasenby, William J. Fitzgerald, Anthony N. Lasenby, C. J. L. Doran
1997	—	`conf`	A Unified Language for Computer Vision and Robotics. AFPAC Eduardo Bayro-Corrochano, Joan Lasenby
1997	C	`conf`	Computing 3D Projective Invariants from Points and Lines. CAIP Joan Lasenby, Eduardo Bayro-Corrochano
1997	—	`conf`	Efficient Region Segmentation through "Creep-and-Merge". ICIAP (1) Antranig Basman, Joan Lasenby, Roberto Cipolla
1997	—	`conf`	What can Grassmann, Hamilton and Clifford tell us about Computer Vision and Robotics. DAGM-Symposium Eduardo Bayro-Corrochano, Joan Lasenby, Gerald Sommer
1996	—	`conf`	A new framework for the formation of invariants and multiple-view constraints in computer vision. ICIP (2) Joan Lasenby, Eduardo Bayro-Corrochano, Anthony N. Lasenby, Gerald Sommer
1996	B	`conf`	A new methodology for computing invariants in computer vision. ICPR Joan Lasenby, Eduardo Bayro-Corrochano, Anthony N. Lasenby, Gerald Sommer
1996	B	`conf`	Geometric algebra: a framework for computing point and line correspondences and projective structure using n uncalibrated cameras. ICPR Eduardo Bayro-Corrochano, Joan Lasenby, Gerald Sommer