Grassmannian Dimensionality Reduction for Optimized Universal Manifold Embedding Representation of 3D Point Clouds. - Yuval Haitman; Joseph M. Francos; Louis L. Scharf (ICCVW, 2021)

Matched Manifold Detection for Group-Invariant Registration and Classification of Images. - Ziv Yavo; Yuval Haitman; Joseph M. Francos; Louis L. Scharf (IEEE Trans. Signal Process., 2021)

Grassmannian Dimensionality Reduction Using Triplet Margin Loss for Ume Classification of 3d Point Clouds. - Yuval Haitman; Joseph M. Francos; Louis L. Scharf (ICASSP, 2022)

RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation. - Oded Bialer; Yuval Haitman (CVPR, 2024)

UMERegRobust - Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration. - Yuval Haitman; Amit Efraim; Joseph M. Francos (ECCV (86), 2024)

Mesh-RTUME: Universal Manifold Embedding for Estimating 3D Rigid Transformations of Surfaces. - Yuval Haitman; Joseph M. Francos (ICASSP, 2024)

BoostRad: Enhancing Object Detection by Boosting Radar Reflections. - Yuval Haitman; Oded Bialer (WACV, 2024)

Invariant Feature Extraction Functions for UME-Based Point Cloud Detection and Registration. - Amit Efraim; Yuval Haitman; Joseph M. Francos (IEEE Trans. Image Process., 2025)

DoppDrive: Doppler-Driven Temporal Aggregation for Improved Radar Object Detection. - Yuval Haitman; Oded Bialer (CoRR, 2025)