| 3D point cloud registration for localization using a deep neural network auto-encoder G Elbaz, T Avraham, A Fischer Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 274 | 2017 |
| Relationships between stomatal regulation, water-use, and water-use efficiency of two coexisting key Mediterranean tree species T Klein, I Shpringer, B Fikler, G Elbaz, S Cohen, D Yakir Forest ecology and management 302, 34-42, 2013 | 144 | 2013 |
| Large-scale generation of photorealistic 3d models G Elbaz US Patent App. 17/791,455, 2023 | 4 | 2023 |
| Expo-hd: Exact object perception usinghigh distraction synthetic data R Ron, G Elbaz arXiv preprint arXiv:2007.14354 2, 2020 | 4 | 2020 |
| Hands-up: Leveraging synthetic data for hands-on-wheel detection P Yudkin, E Friedman, O Zvitia, G Elbaz arXiv preprint arXiv:2206.00148, 2022 | 2 | 2022 |
| Using Synthetic Images To Uncover Population Biases In Facial Landmarks Detection R Shadmi, J Laserson, G Elbaz arXiv preprint arXiv:2111.01683, 2021 | 1 | 2021 |
| Synthetic image data generation using auto-detected image parameters G Elbaz US Patent 11,755,190, 2023 | | 2023 |
| Synthetic image data generation incorporating user-provided objects and relationships G Elbaz US Patent 11,755,191, 2023 | | 2023 |
| Systems and methods for synthetic data generation G Elbaz, J Laserson, H Sheinfeld US Patent 11,755,189, 2023 | | 2023 |
| Closed loop bias and vulnerability testing G Elbaz US Patent App. 17/881,276, 2023 | | 2023 |
| Detection and Segmentation of Custom Objects using High Distraction Photorealistic Synthetic Data R Ron, G Elbaz arXiv preprint arXiv:2007.14354, 2020 | | 2020 |
| Geometric analysis of porous structures based on Hough Transform and Genetic Algorithms for additive manufacturing G Elbaz, Y Ben-Shabat, A Fischer Virtual and Physical Prototyping 11 (2), 69-76, 2016 | | 2016 |
| Graph based over-segmentation of 3D point cloud representation of urban scenes Y Ben-Shabat, T Avraham, G Elbaz, A Fischer, M Lindenbaum | | |
| Registration of Point Clouds based on Global Super-Point Features using Auto-Encoder Deep Neural Network G Elbaz, T Avraham, Y Ben-Shabat, M Lindenbaum, A Fischer | | |
