Joseph M. Francos

Ben-Gurion University of the Negev — Israel

Computer Science · Physical Sciences

20h-index2.0kcitations129works1.82yr avg
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Research Topics

Advanced Vision and Imaging(24), Robotics and Sensor-Based Localization(23), Medical Image Segmentation Techniques(22), Optical measurement and interference techniques(22), Advanced Image and Video Retrieval Techniques(17)

Publications129 total

Invariant Feature Extraction Functions for UME-Based Point Cloud Detection and Registration
IEEE Transactions on Image Processing·2025
On the Design of, $SO$ (3)-Invariant Feature Extraction Functions for 3D Point Clouds
2024
UMERegRobust - Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration
Lecture notes in computer science·2024· 3 cited
UMERegRobust - Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration
arXiv (Cornell University)·2024Open Access
Robust point cloud registration for map-based autonomous robot navigation
EURASIP Journal on Advances in Signal Processing·2024· 9 citedOpen Access
Mesh-RTUME: Universal Manifold Embedding for Estimating 3D Rigid Transformations of Surfaces
2024
Semantic Labeling for Point Cloud Detection and Registration Using the Universal Manifold Embedding: Statistical Analysis
2023
On Minimizing the Probability of Large Errors in Robust Point Cloud Registration
IEEE Open Journal of Signal Processing·2023· 5 citedOpen Access
3D Matched Manifold Detection for Optimizing Point Cloud Registration
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)·2022· 3 cited
Grassmannian Dimensionality Reduction Using Triplet Margin Loss for Ume Classification of 3d Point Clouds
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)·2022· 2 cited
Estimating Rigid Transformations of Noisy Point Clouds Using the Universal Manifold Embedding
Journal of Mathematical Imaging and Vision·2022· 5 cited
DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration
arXiv (Cornell University)·2021· 3 citedOpen Access
Grassmannian Dimensionality Reduction for Optimized Universal Manifold Embedding Representation of 3D Point Clouds
2021· 4 cited
Dual Transformation and Manifold Distances Voting for Outlier Rejection in Point Cloud Registration
2021· 6 cited
DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration
2021
Matched Manifold Detection for Group-Invariant Registration and Classification of Images
IEEE Transactions on Signal Processing·2021· 8 cited
Dynamic Spatial Predicted Background
IEEE Transactions on Image Processing·2020· 2 cited
Dynamic Spatial Predicted Background for Video Surveillance
2019· 2 cited
The Universal Manifold Embedding for Estimating Rigid Transformations of Point Clouds
2019· 9 cited
Geometry and Radiometry Invariant Matched Manifold Detection and Robust Homography Estimation
2018· 1 cited
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Frequent Co-authors

B. Friedlander(12), Rami R. Hagege(8), Haim H. Permuter(5), Amihai Meiri(4), John W. Woods(4), B. Porat(3), A. Narasimhan(3), Ian H. Jermyn(2), Jacob Bentolila(2), Radu S. Stoica(2), Josiane Zerubia(2), Mark Kliger(2), Louis L. Scharf(2), Guy Cohen(2), Amit Efraim(2), A. Narasimhan(1), J.W. Woods(1), Ram S. Sriram(1), William A. Pearlman(1), R. Krishnamurthy(1)