Results 41 to 50 of about 4,051,827 (361)
Semantic Scene Completion from a Single Depth Image [PDF]
Computer Vision and Pattern Recognition, 2016 This paper focuses on semantic scene completion, a task for producing a complete 3D voxel representation of volumetric occupancy and semantic labels for a scene from a single-view depth map observation.
Shuran Song +5 more
semanticscholar +1 more source
Variational Relational Point Completion Network [PDF]
Computer Vision and Pattern Recognition, 2021 Real-scanned point clouds are often incomplete due to viewpoint, occlusion, and noise. Existing point cloud completion methods tend to generate global shape skeletons and hence lack fine local details.
Liang Pan +6 more
semanticscholar +1 more source
Learning Deep Semantics for Test Completion [PDF]
International Conference on Software Engineering, 2023 Writing tests is a time-consuming yet essential task during software development. We propose to leverage recent advances in deep learning for text and code generation to assist developers in writing tests.
Pengyu Nie +4 more
semanticscholar +1 more source
Completability vs (In)completeness [PDF]
Acta Linguistica Hafniensia, 2020 In everyday conversation, no notion of “complete sentence” is required for syntactic licensing. However, so-called “fragmentary”, “incomplete”, and abandoned utterances are problematic for standard formalisms. When contextualised, such data show that (a) non-sentential utterances are adequate to underpin agent coordination, while (b) all linguistic ...
Gregoromichelaki, Eleni +8 more
openaire +2 more sources
, 2014 In this paper we develop a theory of matrix completion for the extreme case of noisy 1-bit observations. Instead of observing a subset of the real-valued entries of a matrix M, we obtain a small number of binary (1-bit) measurements generated according ...
Berg, Ewout van den +3 more
core +1 more source
TuckER: Tensor Factorization for Knowledge Graph Completion [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 Knowledge graphs are structured representations of real world facts. However, they typically contain only a small subset of all possible facts. Link prediction is a task of inferring missing facts based on existing ones.
Ivana Balazevic +2 more
semanticscholar +1 more source
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022 Multimodal Knowledge Graphs (MKGs), which organize visual-text factual knowledge, have recently been successfully applied to tasks such as information retrieval, question answering, and recommendation system.
Xiang Chen +8 more
semanticscholar +1 more source
Optimization in task--completion networks [PDF]
, 2007 We discuss the collective behavior of a network of individuals that receive, process and forward to each other tasks. Given costs they store those tasks in buffers, choosing optimally the frequency at which to check and process the buffer. The individual
Cobham A +9 more
core +1 more source
ReACC: A Retrieval-Augmented Code Completion Framework [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Code completion, which aims to predict the following code token(s) according to the code context, can improve the productivity of software development.
Shuai Lu +5 more
semanticscholar +1 more source
Journal of Petroleum Exploration and Production Technology, 2023 Multistage fracturing technology is the primary means of reservoir stimulation in shale gas wells. However, the productivity contribution of each stage varies greatly.
Shanyong Liu +3 more
doaj +1 more source