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Snehal Bhayani
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A sparse resultant based method for efficient minimal solvers
S Bhayani, Z Kukelova, J Heikkila
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
182020
Calibrated and partially calibrated semi-generalized homographies
S Bhayani, T Sattler, D Barath, P Beliansky, J Heikkilä, Z Kukelova
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
132021
Computing stable resultant-based minimal solvers by hiding a variable
S Bhayani, Z Kukelova, J Heikkilä
2020 25th International Conference on Pattern Recognition (ICPR), 6104-6111, 2021
72021
Partially calibrated semi-generalized pose from hybrid point correspondences
S Bhayani, T Sattler, V Larsson, J Heikkilä, Z Kukelova
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
62023
Sparse Resultant-Based Minimal Solvers in Computer Vision and Their Connection with the Action Matrix
S Bhayani, J Heikkilä, Z Kukelova
Journal of Mathematical Imaging and Vision 66 (3), 335-360, 2024
12024
A Novel Application of Polynomial Solvers in mmWave Analog Radio Beamforming
S Bhayani, P Susarla, SSKC Bulusu, O Silven, M Juntti, J Heikkila
ACM Communications in Computer Algebra 57 (3), 148-151, 2023
12023
Polynomial Solvers for mmWave Radio Beamforming
P Susarla, S Bhayani, SSKC Bulusu, MB López, J Heikkila, M Juntti, ...
ICC 2024-IEEE International Conference on Communications, 1921-1926, 2024
2024
Correction: Sparse Resultant-Based Minimal Solvers in Computer Vision and Their Connection with the Action Matrix
S Bhayani, J Heikkilä, Z Kukelova
Journal of Mathematical Imaging and Vision 66 (3), 361-361, 2024
2024
Sparse resultant-based methods with their applications to generalized cameras
S Bhayani
University of Oulu, 2023
2023
Automatic Solver Generator for Systems of Laurent Polynomial Equations
E Martyushev, S Bhayani, T Pajdla
arXiv preprint arXiv:2307.00320, 2023
2023
Pose estimation from one conic correspondence
SI Bhayani
Dhirubhai Ambani Institute of Information and Communication Technology, 2014
2014
Fundamental Matrix Estimation Using Relative Depths
Y Ding, V Vávra, S Bhayani, Q Wu, J Yang, Z Kukelova
Fundamental Matrix Estimation Using Relative Depths-Supplementary Material
Y Ding, V Vávra, S Bhayani, Q Wu, J Yang, Z Kukelova
Partially calibrated semi-generalized pose from hybrid point correspondences Supplementary Material
S Bhayani, T Sattler, V Larsson, J Heikkilä, Z Kukelova
Calibrated and Partially Calibrated Semi-Generalized Homographies Supplementary Material
S Bhayani, T Sattler, D Barath, P Beliansky, J Heikkilä, Z Kukelova
Supplementary material A sparse resultant based method for efficient minimal solvers
S Bhayani, Z Kukelova, J Heikkilä
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Articles 1–16