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 | 239 | 2018 |
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 | 91 | 2019 |
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 | 91 | 2017 |
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 | 89 | 2021 |
DeepFit: 3D surface fitting via neural network weighted least squares Y Ben-Shabat, S Gould Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 74 | 2020 |
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 | 47 | 2018 |
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 | 44 | 2022 |
DPDist: Comparing point clouds using deep point cloud distance D Urbach, Y Ben-Shabat, M Lindenbaum Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 39 | 2020 |
Design of porous micro-structures using curvature analysis for additive-manufacturing YB Shabat, A Fischer Procedia CIRP 36, 279-284, 2015 | 34 | 2015 |
Multi-Sensor Multi-Resolution Data Fusion Modeling D Tansky, A Fischer, BM Colosimo, L Pagani, Y Ben Shabat Procedia CIRP 21, 151-158, 2014 | 17 | 2014 |
Design of Adaptive Porous Micro-structures for Additive Manufacturing Y Ben Shabat, A Fischer Procedia CIRP 21, 133-137, 2014 | 7 | 2014 |
Cloudwalker: 3d point cloud learning by random walks for shape analysis A Mesika, Y Ben-Shabat, A Tal arXiv preprint arXiv:2112.01050, 2021 | 6* | 2021 |
GoferBot: A Visual Guided Human-Robot Collaborative Assembly System Z Zhuang, Y Ben-Shabat, J Zhang, S Gould, R Mahony 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 5 | 2022 |
GraVoS: Voxel Selection for 3D Point-Cloud Detection O Shrout, Y Ben-Shabat, A Tal Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
3dinaction: Understanding human actions in 3d point clouds Y Ben-Shabat, O Shrout, S Gould arXiv preprint arXiv:2303.06346, 2023 | 3 | 2023 |
Octree guided unoriented surface reconstruction CH Koneputugodage, Y Ben-Shabat, S Gould Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
Aligning Step-by-Step Instructional Diagrams to Video Demonstrations J Zhang, A Cherian, Y Liu, Y Ben-Shabat, C Rodriguez, S Gould Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
eDiGS: Extended Divergence guided shape implicit neural representation for unoriented point clouds Y Ben-Shabat, C Hewa Koneputugodage, S Gould World Scientific Annual Review of Artificial Intelligence, 2024 | | 2024 |
IKEA Ego 3D Dataset: Understanding Furniture Assembly Actions From Ego-View 3D Point Clouds Y Ben-Shabat, J Paul, E Segev, O Shrout, S Gould Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
PatchContrast: Self-Supervised Pre-training for 3D Object Detection O Shrout, O Nitzan, Y Ben-Shabat, A Tal arXiv preprint arXiv:2308.06985, 2023 | | 2023 |