Zobrazeno 1 - 10
of 1 970
pro vyhledávání: '"Liu, Jianhui"'
Publikováno v:
International Journal of Structural Integrity, 2024, Vol. 15, Issue 5, pp. 948-973.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJSI-05-2024-0071
Publikováno v:
精准医学杂志, Vol 39, Iss 5, Pp 404-407 (2024)
Objective To explore the value of computerized tomography (CT) and magnetic resonance imaging (MRI) imaging features in differential diagnosis of giant cell tumors with prominent aneurysmal bone cysts (GABCs) in the extremities and primary aneurysmal
Externí odkaz:
https://doaj.org/article/b22fb63032044022b18bd83b950008aa
Publikováno v:
The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023
3D semantic segmentation on multi-scan large-scale point clouds plays an important role in autonomous systems. Unlike the single-scan-based semantic segmentation task, this task requires distinguishing the motion states of points in addition to their
Externí odkaz:
http://arxiv.org/abs/2307.09316
Category-level 6D pose estimation aims to predict the poses and sizes of unseen objects from a specific category. Thanks to prior deformation, which explicitly adapts a category-specific 3D prior (i.e., a 3D template) to a given object instance, prio
Externí odkaz:
http://arxiv.org/abs/2303.13479
LiDAR-based 3D point cloud recognition has benefited various applications. Without specially considering the LiDAR point distribution, most current methods suffer from information disconnection and limited receptive field, especially for the sparse d
Externí odkaz:
http://arxiv.org/abs/2303.12766
3D object detectors usually rely on hand-crafted proxies, e.g., anchors or centers, and translate well-studied 2D frameworks to 3D. Thus, sparse voxel features need to be densified and processed by dense prediction heads, which inevitably costs extra
Externí odkaz:
http://arxiv.org/abs/2303.11301
3D scenes are dominated by a large number of background points, which is redundant for the detection task that mainly needs to focus on foreground objects. In this paper, we analyze major components of existing sparse 3D CNNs and find that 3D CNNs ig
Externí odkaz:
http://arxiv.org/abs/2209.14201
Recent advance in 2D CNNs has revealed that large kernels are important. However, when directly applying large convolutional kernels in 3D CNNs, severe difficulties are met, where those successful module designs in 2D become surprisingly ineffective
Externí odkaz:
http://arxiv.org/abs/2206.10555
Autor:
Lai, Xin, Liu, Jianhui, Jiang, Li, Wang, Liwei, Zhao, Hengshuang, Liu, Shu, Qi, Xiaojuan, Jia, Jiaya
3D point cloud segmentation has made tremendous progress in recent years. Most current methods focus on aggregating local features, but fail to directly model long-range dependencies. In this paper, we propose Stratified Transformer that is able to c
Externí odkaz:
http://arxiv.org/abs/2203.14508
Autor:
Yang, Cong, Liu, Jianhui, Liu, Leping, Kuang, Lihan, Zhang, Shichong, Chen, Zheng, Li, Jing, Shi, Caijun
Publikováno v:
In Construction and Building Materials 4 October 2024 446