Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Ye, Shuquan"'
Open-vocabulary 3D scene understanding (OV-3D) aims to localize and classify novel objects beyond the closed object classes. However, existing approaches and benchmarks primarily focus on the open vocabulary problem within the context of object class
Externí odkaz:
http://arxiv.org/abs/2408.11030
Point cloud segmentation is a fundamental task in 3D. Despite recent progress on point cloud segmentation with the power of deep networks, current learning methods based on the clean label assumptions may fail with noisy labels. Yet, class labels are
Externí odkaz:
http://arxiv.org/abs/2212.03242
This paper focuses on analyzing and improving the commonsense ability of recent popular vision-language (VL) models. Despite the great success, we observe that existing VL-models still lack commonsense knowledge/reasoning ability (e.g., "Lemons are s
Externí odkaz:
http://arxiv.org/abs/2211.16504
Visual Question Answering (VQA) has witnessed tremendous progress in recent years. However, most efforts only focus on the 2D image question answering tasks. In this paper, we present the first attempt at extending VQA to the 3D domain, which can fac
Externí odkaz:
http://arxiv.org/abs/2112.08359
Point cloud segmentation is a fundamental task in 3D. Despite recent progress on point cloud segmentation with the power of deep networks, current deep learning methods based on the clean label assumptions may fail with noisy labels. Yet, object clas
Externí odkaz:
http://arxiv.org/abs/2107.14230
Exemplar-based portrait stylization is widely attractive and highly desired. Despite recent successes, it remains challenging, especially when considering both texture and geometric styles. In this paper, we present the first framework for one-shot 3
Externí odkaz:
http://arxiv.org/abs/2104.14559
Point cloud upsampling is vital for the quality of the mesh in three-dimensional reconstruction. Recent research on point cloud upsampling has achieved great success due to the development of deep learning. However, the existing methods regard point
Externí odkaz:
http://arxiv.org/abs/2102.04317
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Publikováno v:
IEEE Transactions on Medical Imaging; September 2024, Vol. 43 Issue: 9 p3188-3199, 12p
Akademický článek
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