Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Abdelreheem, Ahmed"'
Autor:
Gong, Bingchen, Gomez, Diego, Hamdi, Abdullah, Eldesokey, Abdelrahman, Abdelreheem, Ahmed, Wonka, Peter, Ovsjanikov, Maks
We propose a novel zero-shot approach for keypoint detection on 3D shapes. Point-level reasoning on visual data is challenging as it requires precise localization capability, posing problems even for powerful models like DINO or CLIP. Traditional met
Externí odkaz:
http://arxiv.org/abs/2412.06292
Autor:
Slim, Habib, Li, Xiang, Li, Yuchen, Ahmed, Mahmoud, Ayman, Mohamed, Upadhyay, Ujjwal, Abdelreheem, Ahmed, Prajapati, Arpit, Pothigara, Suhail, Wonka, Peter, Elhoseiny, Mohamed
In this work, we present 3DCoMPaT$^{++}$, a multimodal 2D/3D dataset with 160 million rendered views of more than 10 million stylized 3D shapes carefully annotated at the part-instance level, alongside matching RGB point clouds, 3D textured meshes, d
Externí odkaz:
http://arxiv.org/abs/2310.18511
We propose a novel zero-shot approach to computing correspondences between 3D shapes. Existing approaches mainly focus on isometric and near-isometric shape pairs (e.g., human vs. human), but less attention has been given to strongly non-isometric an
Externí odkaz:
http://arxiv.org/abs/2306.03253
We explore the task of zero-shot semantic segmentation of 3D shapes by using large-scale off-the-shelf 2D image recognition models. Surprisingly, we find that modern zero-shot 2D object detectors are better suited for this task than contemporary text
Externí odkaz:
http://arxiv.org/abs/2304.04909
The two popular datasets ScanRefer [16] and ReferIt3D [3] connect natural language to real-world 3D data. In this paper, we curate a large-scale and complementary dataset extending both the aforementioned ones by associating all objects mentioned in
Externí odkaz:
http://arxiv.org/abs/2212.06250
Autor:
Abdelreheem, Ahmed, Nor, Ahmed M., Mubarak, Ahmed S. A., Esmaiel, Hamada, Mohamed, Ehab Mahmoud
This paper presents a comparative study on millimeter wave (mmWave) location-based analog beamforming (BF) techniques based on channel estimation. Localization and compressive sensing (CS) effectively reduces mmWave BF complexity and enhance the perf
Externí odkaz:
http://arxiv.org/abs/1808.06530
This paper develops a location based analog beamforming (BF) technique using compressive sensing (CS) to be feasible for millimeter wave (mmWave) wireless communication systems. The proposed scheme is based on exploiting the benefits of CS and locali
Externí odkaz:
http://arxiv.org/abs/1808.01512
Akademický článek
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Autor:
Abdelreheem, Ahmed
In this thesis, we introduce a 3D Shape Grammar for generating man-made objects and an optimization algorithm to fit the structure and parameters of the grammar to a given point cloud. While simple grammars, e.g. for bounding box arrangements, have b
Externí odkaz:
http://hdl.handle.net/10754/681019
Akademický článek
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