Optimal least-squares solution to the hand-eye calibration problem. - Amit Dekel; Linus Härenstam-Nielsen; Sergio Caccamo (CVPR, 2020)

Unsupervised Disentanglement with Tensor Product Representations on the Torus. - Michael Rotman; Amit Dekel; Shir Gur; Yaron Oz; Lior Wolf (ICLR, 2022)

A Probabilistic Framework for Visual Localization in Ambiguous Scenes. - Fereidoon Zangeneh; Leonard Bruns; Amit Dekel; Alessandro Pieropan; Patric Jensfelt (ICRA, 2023)

Semi-supervised learning of partial differential operators and dynamical flows. - Michael Rotman; Amit Dekel; Ran Ilan Ber; Lior Wolf; Yaron Oz (UAI, 2023)

Conditional Variational Autoencoders for Probabilistic Pose Regression. - Fereidoon Zangeneh; Leonard Bruns; Amit Dekel; Alessandro Pieropan; Patric Jensfelt (IROS, 2024)

Quantifying Epistemic Uncertainty in Absolute Pose Regression. - Fereidoon Zangeneh; Amit Dekel; Alessandro Pieropan; Patric Jensfelt (SCIA (2), 2025)