Ido Imanuel - Google Scholar

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2020202120221 8 4

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Co-authors

oshri halimiPhD StudentVerified email at campus.technion.ac.il
Ron KimmelMontreal Chair Professor of Computer Science (& ECE), Technion, IsraelVerified email at cs.technion.ac.il
Or LitanyResearch Scientist, NVIDIAVerified email at nvidia.com
Emanuele RodolàProfessor of Computer Science, Sapienza University of RomeVerified email at di.uniroma1.it
Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu

Ido Imanuel

Ido Imanuel

Technion - Israel Institute of Technology

Verified email at cs.technion.ac.il - Homepage

shape analysis and recognition applied mathematics and artificial intelligence reinforcement learning medical imaging and robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The whole is greater than the sum of its nonrigid parts O Halimi, I Imanuel, O Litany, G Trappolini, E Rodolà, L Guibas, R Kimmel arXiv preprint arXiv:2001.09650, 2020	9	2020
Towards precise completion of deformable shapes O Halimi, I Imanuel, O Litany, G Trappolini, E Rodolà, L Guibas, R Kimmel European Conference on Computer Vision, 359-377, 2020	4	2020
Super‐resolution with adversarial loss on the feature maps of the generated high‐resolution image I Imanuel, S Lee Electronics Letters 58 (2), 47-49, 2022		2022
Generating Band-Limited Adversarial Surfaces Using Neural Networks RB Shlomo, Y Men, I Imanuel arXiv preprint arXiv:2111.07424, 2021		2021
Generating Band-Limited Adversarial Surfaces Using Neural Networks R Ben Shlomo, Y Men, I Imanuel arXiv e-prints, arXiv: 2111.07424, 2021		2021
Learning Unique Invariant Signatures of Non-Rigid Point Clouds S Hleihil, I Shenfield, I Imanuel

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