| 3dmfv: Three-dimensional point cloud classification in real-time using convolutional neural networks Y Ben-Shabat, M Lindenbaum, A Fischer IEEE Robotics and Automation Letters 3 (4), 3145-3152, 2018 | 138 | 2018 |
| 3d point cloud classification and segmentation using 3d modified fisher vector representation for convolutional neural networks Y Ben-Shabat, M Lindenbaum, A Fischer arXiv preprint arXiv:1711.08241, 2017 | 62 | 2017 |
| Nesti-net: Normal estimation for unstructured 3d point clouds using convolutional neural networks Y Ben-Shabat, M Lindenbaum, A Fischer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 45 | 2019 |
| Graph based over-segmentation methods for 3d point clouds Y Ben-Shabat, T Avraham, M Lindenbaum, A Fischer Computer Vision and Image Understanding 174, 12-23, 2018 | 33 | 2018 |
| Design of porous micro-structures using curvature analysis for additive-manufacturing YB Shabat, A Fischer Procedia CIRP 36, 279-284, 2015 | 26 | 2015 |
| The ikea asm dataset: Understanding people assembling furniture through actions, objects and pose Y Ben-Shabat, X Yu, F Saleh, D Campbell, C Rodriguez-Opazo, H Li, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 23 | 2021 |
| Deepfit: 3d surface fitting via neural network weighted least squares Y Ben-Shabat, S Gould European conference on computer vision, 20-34, 2020 | 19 | 2020 |
| Multi-Sensor Multi-Resolution Data Fusion Modeling D Tansky, A Fischer, BM Colosimo, L Pagani, Y Ben Shabat Procedia CIRP 21, 151-158, 2014 | 15 | 2014 |
| DPDist: Comparing point clouds using deep point cloud distance D Urbach, Y Ben-Shabat, M Lindenbaum European Conference on Computer Vision, 545-560, 2020 | 10 | 2020 |
| Design of Adaptive Porous Micro-structures for Additive Manufacturing Y Ben Shabat, A Fischer Procedia CIRP 21, 133-137, 2014 | 7 | 2014 |
| DiGS: Divergence guided shape implicit neural representation for unoriented point clouds Y Ben-Shabat, CH Koneputugodage, S Gould Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 3 | 2022 |
| CloudWalker: Random walks for 3D point cloud shape analysis A Mesika, Y Ben-Shabat, A Tal Computers & Graphics, 2022 | | 2022 |
| CloudWalker: 3D Point Cloud Learning by Random Walks for Shape Analysis A Mesika, Y Ben-Shabat, A Tal arXiv preprint arXiv:2112.01050, 2021 | | 2021 |
| Adaptive Multi-resolution Volumetric Modeling of Bone Micro-structure Y Ben-Shabat, A Fischer New Developments in Tissue Engineering and Regeneration, 31-50, 2019 | | 2019 |
| 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 |
| 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 | | |
| Graph based over-segmentation of 3D point cloud representation of urban scenes Y Ben-Shabat, T Avraham, G Elbaz, A Fischer, M Lindenbaum | | |
Michael LindenbaumProfessor of Computer Science, The TechnionVerified email at cs.technion.ac.il
