Papers Graph Matching
“Graph Matching” 태그가 달린 논문 515편 · 필터 해제
Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport
Bilingual lexicons form a critical component of various natural language processing applications, including unsupervised and semisupervised machine translation and crosslingual information retrieval. We improve bilingual…
Bilingual Lexicon InductionGraph MatchingInformation RetrievalMachine Translation+2KGCODE-Tab Results for SemTab 2022
This paper presents the results of KGCODE-Tab in the tabular data to knowledge graph matching contest SemTab 2022. As an efficient tabular data linking system, KGCODE-Tab is intended to participate in three tasks of the …
Cell Entity AnnotationColumns Property AnnotationColumn Type AnnotationGraph MatchingResults of SemTab 2022
SemTab 2022 was the fourth edition of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, successfully collocated with the 21st International Semantic Web Conference (ISWC) and the 17th Ontology Match…
Cell Entity AnnotationColumn Type AnnotationGraph MatchingOntology MatchingTowards an Approach based on Knowledge Graph Refinement for Tabular Data to Knowledge Graph Matching
This paper presents our contribution to the Accuracy Track of Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab). This contribution consists of the proposition of an approach based on knowledge g…
Cell Entity AnnotationColumn Type AnnotationGraph MatchingPositionPrivacy-Preserved Neural Graph Similarity Learning
To develop effective and efficient graph similarity learning (GSL) models, a series of data-driven neural algorithms have been proposed in recent years. Although GSL models are frequently deployed in privacy-sensitive sc…
Graph MatchingGraph SimilarityPrivacy PreservingEnd-to-End Context-Aided Unicity Matching for Person Re-identification
Most existing person re-identification methods compute the matching relations between person images across camera views based on the ranking of the pairwise similarities. This matching strategy with the lack of the globa…
Graph MatchingPerson Re-IdentificationLearning Universe Model for Partial Matching Networks over Multiple Graphs
We consider the general setting for partial matching of two or multiple graphs, in the sense that not necessarily all the nodes in one graph can find their correspondences in another graph and vice versa. We take a unive…
Graph MatchingMetric LearningOutlier DetectionQuAnt: Quantum Annealing with Learnt Couplings
Modern quantum annealers can find high-quality solutions to combinatorial optimisation objectives given as quadratic unconstrained binary optimisation (QUBO) problems. Unfortunately, obtaining suitable QUBO forms in comp…
3D Rotation EstimationGraph MatchingKernelized multi-graph matching
Multigraph matching is a recent variant of the graph matching problem. In this framework, the optimization procedure considers several graphs and enforces the consistency of the matches along the graphs. This constraint …
Graph MatchingSemantic Sentence Matching via Interacting Syntax Graphs
Studies have shown that the sentence’s syntactic structures are important for semantic sentence matching. A typical approach is encoding each sentence’s syntactic structure into an embedding vector, which can be combined…
Graph MatchingSentenceRandom graph matching at Otter's threshold via counting chandeliers
We propose an efficient algorithm for graph matching based on similarity scores constructed from counting a certain family of weighted trees rooted at each vertex. For two Erd\H{o}s-R\'enyi graphs $\mathcal{G}(n,q)$ whos…
Graph MatchingClosing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes
In Simultaneous Localization and Mapping (SLAM), Loop Closure Detection (LCD) is essential to minimize drift when recognizing previously visited places. Visual Bag-of-Words (vBoW) has been an LCD algorithm of choice for …
Graph MatchingLoop Closure DetectionSimultaneous Localization and MappingGollum: A Gold Standard for Large Scale Multi Source Knowledge Graph Matching
The number of Knowledge Graphs (KGs) generated with automatic and manual approaches is constantly growing. For an integrated view and usage, an alignment between these KGs is necessary on the schema as well as instance l…
Graph MatchingKnowledge GraphsGraphing the Future: Activity and Next Active Object Prediction using Graph-based Activity Representations
We present a novel approach for the visual prediction of human-object interactions in videos. Rather than forecasting the human and object motion or the future hand-object contact points, we aim at predicting (a)the clas…
Graph MatchingHuman-Object Interaction DetectionObjectPredictionCSGO: Constrained-Softassign Gradient Optimization For Large Graph Matching
Graph matching aims to find correspondences between two graphs. This paper integrates several well-known graph matching algorithms into a framework: the constrained gradient method. The primary difference among these alg…
Graph MatchingUnsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching
Unsupervised domain adaptation for point cloud semantic segmentation has attracted great attention due to its effectiveness in learning with unlabeled data. Most of existing methods use global-level feature alignment to …
Domain AdaptationGraph MatchingSemantic SegmentationUnsupervised Domain AdaptationAn Equity-Aware Recommender System for Curating Art Exhibits Based on Locally-Constrained Graph Matching
Public art shapes our shared spaces. Public art should speak to community and context, and yet, recent work has demonstrated numerous instances of art in prominent institutions favoring outdated cultural norms and legacy…
Cultural Vocal Bursts Intensity PredictionFairnessGraph MatchingRecommendation SystemsDensely Constrained Depth Estimator for Monocular 3D Object Detection
Estimating accurate 3D locations of objects from monocular images is a challenging problem because of lacking depth. Previous work shows that utilizing the object's keypoint projection constraints to estimate multiple de…
3D Object DetectionDepth EstimationGraph MatchingMonocular 3D Object Detection+3Vi-Fi: Associating Moving Subjects across Vision and Wireless Sensors
In this paper, we present Vi-Fi, a multi-modal system that leverages a user’s smartphone WiFi Fine Timing Measurements (FTM) and inertial measurement unit (IMU) sensor data to associate the user detected on a camera foot…
Graph MatchingMultimodal AssociationUnsupervised Manifold Alignment with Joint Multidimensional Scaling
We introduce Joint Multidimensional Scaling, a novel approach for unsupervised manifold alignment, which maps datasets from two different domains, without any known correspondences between data instances across the datas…
Domain AdaptationGraph Matching