Results 31 to 40 of about 4,051,827 (361)
Frontiers in Earth Science, 2023 The existence of gravels in the glutenite formations leads to the complex geometries of hydraulic fracturing propagation and difficult construction in fracturing engineering. To study the hydraulic fracturing propagation law of glutenite formations, this
Peng Tan +19 more
doaj +1 more source
Productivity assessment of neural code completion [PDF]
MAPS@PLDI, 2022 Neural code synthesis has reached a point where snippet generation is accurate enough to be considered for integration into human software development workflows. Commercial products aim to increase programmers’ productivity, without being able to measure
Albert Ziegler +7 more
semanticscholar +1 more source
SCPNet: Semantic Scene Completion on Point Cloud [PDF]
Computer Vision and Pattern Recognition, 2023 Training deep models for semantic scene completion (SSC) is challenging due to the sparse and incomplete input, a large quantity of objects of diverse scales as well as the inherent label noise for moving objects. To address the above-mentioned problems,
Zhaoyang Xia +7 more
semanticscholar +1 more source
Cutting mechanism of a special 3D concave-shaped PDC cutter applicable to the Weiyuan shale
Journal of Petroleum Exploration and Production Technology, 2023 The Weiyuan shale gas field faces problems of long drilling cycles and high development costs. Improving the drilling efficiency of polycrystalline diamond compact bits in shale formations will significantly reduce the overall well cost and duration ...
Xiaohua Ke +5 more
doaj +1 more source
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion [PDF]
Computer Vision and Pattern Recognition, 2020 While many works focus on 3D reconstruction from images, in this paper, we focus on 3D shape reconstruction and completion from a variety of 3D inputs, which are deficient in some respect: low and high resolution voxels, sparse and dense point clouds ...
Julian Chibane +2 more
semanticscholar +1 more source
High-Fidelity Pluralistic Image Completion with Transformers [PDF]
IEEE International Conference on Computer Vision, 2021 Image completion has made tremendous progress with convolutional neural networks (CNNs), because of their powerful texture modeling capacity. However, due to some inherent properties (e.g., local inductive prior, spatial-invariant kernels), CNNs do not ...
Ziyu Wan +3 more
semanticscholar +1 more source
SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer [PDF]
European Conference on Computer Vision, 2022 Point cloud completion has become increasingly popular among generation tasks of 3D point clouds, as it is a challenging yet indispensable problem to recover the complete shape of a 3D object from its partial observation.
Hao Zhou +6 more
semanticscholar +1 more source
Learning Entity and Relation Embeddings for Knowledge Graph Completion
AAAI Conference on Artificial Intelligence, 2015 Knowledge graph completion aims to perform link prediction between entities. In this paper, we consider the approach of knowledge graph embeddings.
Yankai Lin +4 more
semanticscholar +1 more source
PF-Net: Point Fractal Network for 3D Point Cloud Completion [PDF]
Computer Vision and Pattern Recognition, 2020 In this paper, we propose a Point Fractal Network (PF-Net), a novel learning-based approach for precise and high-fidelity point cloud completion. Unlike existing point cloud completion networks, which generate the overall shape of the point cloud from ...
Zitian Huang +4 more
semanticscholar +1 more source
Poisson Matrix Completion [PDF]
, 2015 We extend the theory of matrix completion to the case where we make Poisson observations for a subset of entries of a low-rank matrix. We consider the (now) usual matrix recovery formulation through maximum likelihood with proper constraints on the ...
Cao, Yang, Xie, Yao
core +1 more source