Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Pradeep Kumar Jayaraman"'
We present Neon, a new programming model for grid-based computation with an intuitive, easy-to-use interface that allows domain experts to take full advantage of single-node multi-GPU systems. Neon decouples data structure from computation and back e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63c5b93bf478cc2ec2ddd48c52be2e72
https://escholarship.org/uc/item/9fz7k633
https://escholarship.org/uc/item/9fz7k633
Publikováno v:
Computer-Aided Design. 156:103439
Publikováno v:
Journal of Advanced Research in Dynamical and Control Systems. 12:512-520
Autor:
Joseph George Lambourne, Karl Willis, Pradeep Kumar Jayaraman, Longfei Zhang, Aditya Sanghi, Kamal Rahimi Malekshan
Reverse Engineering a CAD shape from other representations is an important geometric processing step for many downstream applications. In this work, we introduce a novel neural network architecture to solve this challenging task and approximate a smo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77b7b31ce3cb1d4bd4518e8ffe0a19f2
Octree is a hierarchical data structure with many applications, especially in encoding unstructured point clouds. The depth of an octree is dependent of the scale of the input data and the desired resolution of the smallest voxels in the leaf nodes a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfd6a9ad62c77226c91eae5cd995a8a4
https://hdl.handle.net/10356/159967
https://hdl.handle.net/10356/159967
Publikováno v:
CVPR Workshops
Engineering sketches form the 2D basis of parametric Computer-Aided Design (CAD), the foremost modeling paradigm for manufactured objects. In this paper we tackle the problem of learning based engineering sketch generation as a first step towards syn
Autor:
Hooman Shayani, Pradeep Kumar Jayaraman, Karl D.D. Willis, Joseph G. Lambourne, Aditya Sanghi, Peter Meltzer
Publikováno v:
CVPR
Boundary representation (B-rep) models are the standard way 3D shapes are described in Computer-Aided Design (CAD) applications. They combine lightweight parametric curves and surfaces with topological information which connects the geometric entitie
Publikováno v:
Intelligent Scene Modeling and Human-Computer Interaction ISBN: 9783030710019
While 3D building models inherently contain semantic information that is useful for industrial applications such as urban planning and construction analysis, the data of the buildings obtained from acquisition and modeling processes are often mere ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26f26baec040042e5011aad39f3f04ee
https://doi.org/10.1007/978-3-030-71002-6_9
https://doi.org/10.1007/978-3-030-71002-6_9
Autor:
Nigel Morris, Hooman Shayani, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Thomas Davies, Karl D.D. Willis, Aditya Sanghi
Publikováno v:
CVPR
We introduce UV-Net, a novel neural network architecture and representation designed to operate directly on Boundary representation (B-rep) data from 3D CAD models. The B-rep format is widely used in the design, simulation and manufacturing industrie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f002b1df65171cc5823d8d3b9c00d8e9
http://arxiv.org/abs/2006.10211
http://arxiv.org/abs/2006.10211
Publikováno v:
CW
Existing methods of unstructured point cloud compression usually exploit the spatial sparseness of point clouds using hierarchical tree data structures for spatial encoding. However, such methods can be inefficient when very deep octrees are applied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0a17ed457840f9bcf4a8f37f7862e09
https://hdl.handle.net/10356/146239
https://hdl.handle.net/10356/146239