Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes P Achlioptas, A Abdelreheem, F Xia, M Elhoseiny, L Guibas Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 222 | 2020 |
Satr: Zero-shot semantic segmentation of 3d shapes A Abdelreheem, I Skorokhodov, M Ovsjanikov, P Wonka Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 23 | 2023 |
3dreftransformer: Fine-grained object identification in real-world scenes using natural language A Abdelreheem, U Upadhyay, I Skorokhodov, R Al Yahya, J Chen, ... Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022 | 22 | 2022 |
Scanents3d: Exploiting phrase-to-3d-object correspondences for improved visio-linguistic models in 3d scenes A Abdelreheem, K Olszewski, HY Lee, P Wonka, P Achlioptas Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 19 | 2024 |
Zero-shot 3d shape correspondence A Abdelreheem, A Eldesokey, M Ovsjanikov, P Wonka SIGGRAPH Asia 2023 Conference Papers, 1-11, 2023 | 17 | 2023 |
3d compat: Composition of materials on parts of 3d things Y Li, U Upadhyay, H Slim, A Abdelreheem, A Prajapati, S Pothigara, ... European Conference on Computer Vision, 110-127, 2022 | 8 | 2022 |
3DCoMPaT: An improved Large-scale 3D Vision Dataset for Compositional Recognition H Slim, X Li, Y Li, M Ahmed, M Ayman, U Upadhyay, A Abdelreheem, ... arXiv preprint arXiv:2310.18511, 2023 | 6 | 2023 |
Modeling and Fitting 3D Shapes via Shape Grammar A Abdelreheem | | 2022 |