Publications
2024
Metric Algebraic Geometry
Paul Breiding, Kathlén Kohn, and Bernd Sturmfels
book
Revisiting Sampson Approximations for Geometric Estimation Problems
Felix Rydell, Angélica Torres, and Viktor Larsson
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
2023
Steerers: A framework for rotation equivariant keypoint descriptors
Georg Bökman, Johan Edstedt, Michael Felsberg, and Fredrik Kahl
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
Snapshot of Algebraic Vision
Joe Kileel and Kathlén Kohn
Combinatorial, Computational & Applied Algebraic Geometry (CCAAGS) 2022
FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes
Marcel Büsching, Josef Bengtson, David Nilsson, and Mårten Björkman
preprint
Adjustable Visual Appearance for Generalizable Novel View Synthesis
Josef Bengtson, David Nilsson, Che-Tsung Lin, Marcel Büsching, and Fredrik Kahl
preprint
Investigating how ReLU-networks encode symmetries
Georg Bökman and Fredrik Kahl
Advances in Neural Information Processing Systems (NeurIPS) 2023
Function Space and Critical Points of Linear Convolutional Networks
Kathlén Kohn, Guido Montúfar, Vahid Shahverdi, and Matthew Trager
SIAM Journal on Applied Algebra and Geometry (SIAGA)
Theoretical and Numerical Analysis of 3D Reconstruction Using Point and Line Incidences
Felix Rydell, Elima Shehu, and Angelica Torres
International Conference on Computer Vision (ICCV) 2023
Compatibility of Fundamental Matrices for Complete Viewing Graphs
Martin Bråtelund and Felix Rydell
International Conference on Computer Vision (ICCV) 2023
Geometry of Linear Neural Networks: Equivariance and Invariance under Permutation Groups
Kathlén Kohn, Anna-Laura Sattelberger, and Vahid Shahverdi
MEGA: Effective Methods in Algebraic Geometry (in submission)