| 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 | 262 | 2018 |
| 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 | 131 | 2021 |
| 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 | 105 | 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 | 97 | 2017 |
| 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 | 82 | 2020 |
| 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 | 67 | 2022 |
| 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 | 53 | 2018 |
| 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 | 46 | 2020 |
| Design of porous micro-structures using curvature analysis for additive-manufacturing YB Shabat, A Fischer Procedia CIRP 36, 279-284, 2015 | 39 | 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 |
| Octree guided unoriented surface reconstruction CH Koneputugodage, Y Ben-Shabat, S Gould Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 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 | 9 | 2023 |
| 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 | 8 | 2023 |
| Cloudwalker: 3d point cloud learning by random walks for shape analysis A Mesika, Y Ben-Shabat, A Tal arXiv preprint arXiv:2112.01050, 2021 | 7* | 2021 |
| Design of Adaptive Porous Micro-structures for Additive Manufacturing Y Ben Shabat, A Fischer Procedia CIRP 21, 133-137, 2014 | 7 | 2014 |
| 3dinaction: Understanding human actions in 3d point clouds Y Ben-Shabat, O Shrout, S Gould Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
| 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 | 6 | 2022 |
| PatchContrast: Self-Supervised Pre-training for 3D Object Detection O Shrout, O Nitzan, Y Ben-Shabat, A Tal arXiv preprint arXiv:2308.06985, 2023 | 3 | 2023 |
| Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance CH Koneputugodage, Y Ben-Shabat, D Campbell, S Gould Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Neural Experts: Mixture of Experts for Implicit Neural Representations Y Ben-Shabat, CH Koneputugodage, S Ramasinghe, S Gould arXiv preprint arXiv:2410.21643, 2024 | | 2024 |
Stephen GouldProfessor at Australian National UniversityVerified email at anu.edu.au