| Deepgcns: Can gcns go as deep as cnns? G Li, M Muller, A Thabet, B Ghanem Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 966* | 2019 |
| G-tad: Sub-graph localization for temporal action detection M Xu, C Zhao, DS Rojas, A Thabet, B Ghanem Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 294 | 2020 |
| Deepergcn: All you need to train deeper gcns G Li, C Xiong, A Thabet, B Ghanem arXiv preprint arXiv:2006.07739, 2020 | 221 | 2020 |
| Sgas: Sequential greedy architecture search G Li, G Qian, IC Delgadillo, M Muller, A Thabet, B Ghanem Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 138 | 2020 |
| Pu-gcn: Point cloud upsampling using graph convolutional networks G Qian, A Abualshour, G Li, A Thabet, B Ghanem Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 90 | 2021 |
| Advpc: Transferable adversarial perturbations on 3d point clouds A Hamdi, S Rojas, A Thabet, B Ghanem Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 72 | 2020 |
| Mvtn: Multi-view transformation network for 3d shape recognition A Hamdi, S Giancola, B Ghanem Proceedings of the IEEE/CVF International Conference on Computer Vision, 1-11, 2021 | 51 | 2021 |
| Video self-stitching graph network for temporal action localization C Zhao, AK Thabet, B Ghanem Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 51 | 2021 |
| Robust manhattan frame estimation from a single rgb-d image B Ghanem, A Thabet, J Carlos Niebles, F Caba Heilbron Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 41 | 2015 |
| Self-supervised learning of local features in 3d point clouds A Thabet, H Alwassel, B Ghanem Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 39* | 2020 |
| Maas: Multi-modal assignation for active speaker detection JL Alcázar, F Caba, AK Thabet, B Ghanem Proceedings of the IEEE/CVF International Conference on Computer Vision, 265-274, 2021 | 29* | 2021 |
| Refineloc: Iterative refinement for weakly-supervised action localization A Pardo, H Alwassel, F Caba, A Thabet, B Ghanem Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 23 | 2021 |
| Dynamic 3D shape of the plantar surface of the foot using coded structured light: a technical report AK Thabet, E Trucco, J Salvi, W Wang, RJ Abboud Journal of foot and ankle research 7 (1), 1-12, 2014 | 22 | 2014 |
| Assanet: An anisotropic separable set abstraction for efficient point cloud representation learning G Qian, H Hammoud, G Li, A Thabet, B Ghanem Advances in Neural Information Processing Systems 34, 28119-28130, 2021 | 18 | 2021 |
| Camera motion and surrounding scene appearance as context for action recognition FC Heilbron, A Thabet, JC Niebles, B Ghanem Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 15 | 2015 |
| Moviecuts: A new dataset and benchmark for cut type recognition A Pardo, FC Heilbron, JL Alcázar, A Thabet, B Ghanem Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 13 | 2022 |
| Baod: budget-aware object detection A Pardo, M Xu, A Thabet, P Arbeláez, B Ghanem Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 12 | 2021 |
| Gabor layers enhance network robustness JC Pérez, M Alfarra, G Jeanneret, A Bibi, A Thabet, B Ghanem, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 12 | 2020 |
| Refineloc: Iterative refinement for weakly-supervised action localization H Alwassel, FC Heilbron, A Thabet, B Ghanem arXiv preprint arXiv:1904.00227 2 (6), 2019 | 11 | 2019 |
| Learning to cut by watching movies A Pardo, F Caba, JL Alcázar, AK Thabet, B Ghanem Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 10 | 2021 |
Bernard GhanemProfessor, King Abdullah University of Science and Technology在 kaust.edu.sa 的電子郵件地址已通過驗證
