ML Anthology

Lasenby, Joan

19 publications

CVPRW 2025 Define, Refine, Align: Correspondence-Free 3D Line Alignment with Attentional, Equivariant and Rotational Layers Alberto Pepe, Yuxin Yao, Joan Lasenby
ICLR 2025 Fengbo: A Clifford Neural Operator Pipeline for 3D PDEs in Computational Fluid Dynamics Alberto Pepe, Mattia Montanari, Joan Lasenby
NeurIPS 2025 LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans Zhening Huang, Xiaoyang Wu, Fangcheng Zhong, Hengshuang Zhao, Matthias Nießner, Joan Lasenby
CVPRW 2025 SmallGS: Gaussian Splatting-Based Camera Pose Estimation for Small-Baseline Videos Yuxin Yao, Yan Zhang, Zhening Huang, Joan Lasenby
WACV 2024 CGAPoseNet+GCAN: A Geometric Clifford Algebra Network for Geometry-Aware Camera Pose Regression Alberto Pepe, Joan Lasenby, Sven Buchholz
ICLRW 2024 GA-ReLU: An Activation Function for Geometric Algebra Networks Applied to 2D Navier-Stokes PDEs Alberto Pepe, Sven Buchholz, Joan Lasenby
ECCV 2024 OpenIns3D: Snap and Lookup for 3D Open-Vocabulary Instance Segmentation Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby
NeurIPS 2023 Evaluating Self-Supervised Learning for Molecular Graph Embeddings Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu
ICMLW 2022 Evaluating Self-Supervised Learned Molecular Graphs Hanchen Wang, Shengchao Liu, Jean Kaddour, Qi Liu, Jian Tang, Matt Kusner, Joan Lasenby
ICMLW 2022 Evaluating Self-Supervised Learned Molecular Graphs Hanchen Wang, Shengchao Liu, Jean Kaddour, Qi Liu, Jian Tang, Matt Kusner, Joan Lasenby
ICLR 2022 Pre-Training Molecular Graph Representation with 3D Geometry Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
ICLRW 2022 Pre-Training Molecular Graph Representation with 3D Geometry Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
CVPRW 2022 SPIN: Simplifying Polar Invariance for Neural Networks Application to Vision-Based Irradiance Forecasting Quentin Paletta, Anthony Hu, Guillaume Arbod, Philippe Blanc, Joan Lasenby
ICCV 2021 Unsupervised Point Cloud Pre-Training via Occlusion Completion Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matt J. Kusner
ICCV 2013 Semantic Transform: Weakly Supervised Semantic Inference for Relating Visual Attributes Sukrit Shankar, Joan Lasenby, Roberto Cipolla
CVPR 2009 Fourier Analysis and Gabor Filtering for Texture Analysis and Local Reconstruction of General Shapes Fabio Galasso, Joan Lasenby
CVPRW 2009 Physiological Modelling for Improved Reliability in Silhouette-Driven Gradient-Based Hand Tracking Paris Kaimakis, Joan Lasenby
ECCV 2002 Multiple Hypothesis Tracking for Automatic Optical Motion Capture Maurice Ringer, Joan Lasenby
CVPR 2001 Using Occlusions to Aid Position Estimation for Visual Motion Capture Maurice Ringer, Tom Drummond, Joan Lasenby