Fahira A. Maken

According to our database, Fahira A. Maken authored at least 10 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

View from Above: Orthogonal-View Aware Cross-View Localization.

Shan Wang, Chuong Nguyen, Jiawei Liu, Yanhao Zhang, Sundaram Muthu, Fahira Afzal Maken, Kaihao Zhang, Hongdong Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Homography Guided Temporal Fusion for Road Line and Marking Segmentation.

Shan Wang, Chuong Nguyen, Jiawei Liu, Kaihao Zhang, Wenhan Luo, Yanhao Zhang, Sundaram Muthu, Fahira Afzal Maken, Hongdong Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Seeing Through the Glass: Neural 3D Reconstruction of Object Inside a Transparent Container.

Jinguang Tong, Sundaram Muthu, Fahira Afzal Maken, Chuong Nguyen, Hongdong Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation.

Fahira Afzal Maken, Fabio Ramos, Lionel Ott

IEEE Robotics Autom. Lett., 2022

Stein ICP for Uncertainty Estimation in Point Cloud Matching.

Fahira Afzal Maken, Fabio Ramos, Lionel Ott

IEEE Robotics Autom. Lett., 2022

Bayesian iterative closest point for mobile robot localization.

Fahira Afzal Maken, Fabio Ramos, Lionel Ott

Int. J. Robotics Res., 2022

2020

Estimating Motion Uncertainty with Bayesian ICP.

Fahira Afzal Maken, Fabio Ramos, Lionel Ott

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Speeding Up Iterative Closest Point Using Stochastic Gradient Descent.

Fahira Afzal Maken, Fabio Ramos, Lionel Ott

Proceedings of the International Conference on Robotics and Automation, 2019

2015

Multiple instance learning for breast MRI based on generic spatio-temporal features.

Fahira Afzal Maken, Andrew P. Bradley

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Multiple Instance Learning for Breast Cancer Magnetic Resonance Imaging.

Fahira A. Maken, Yaniv Gal, Darryl McClymont, Andrew P. Bradley

Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014