Papers Graph Matching
“Graph Matching” 태그가 달린 논문 515편 · 필터 해제
Occluded Person Re-Identification With Single-Scale Global Representations
Occluded person re-identification (ReID) aims at re-identifying occluded pedestrians from occluded or holistic images taken across multiple cameras. Current state-of-the-art (SOTA) occluded ReID models rely on some a…
Graph MatchingOccluded Person Re-IdentificationPerson Re-IdentificationPose EstimationSome Algorithms on Exact, Approximate and Error-Tolerant Graph Matching
The graph is one of the most widely used mathematical structures in engineering and science because of its representational power and inherent ability to demonstrate the relationship between objects. The objective of thi…
Graph MatchingGraph SimilarityPositionRevocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching
Graph matching (GM) has been a building block in various areas including computer vision and pattern recognition. Despite recent impressive progress, existing deep GM methods often have obvious difficulty in handling out…
Combinatorial OptimizationDecision MakingDeep Reinforcement LearningGraph Matching+2Articulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised Point Registration
Matching articulated shapes represented by voxel-sets reduces to maximal sub-graph isomorphism when each set is described by a weighted graph. Spectral graph theory can be used to map these graphs onto lower dimensional …
ClusteringGraph MatchingLayoutGMN: Neural Graph Matching for Structural Layout Similarity
We present a deep neural network to predict structural similarity between 2D layouts by leveraging Graph Matching Networks (GMN). Our network, coined LayoutGMN, learns the layout metric via neural graph matching, using a…
Graph MatchingMetric LearningRetrievalTripletPartial Gromov-Wasserstein Learning for Partial Graph Matching
Graph matching finds the correspondence of nodes across two graphs and is a basic task in graph-based machine learning. Numerous existing methods match every node in one graph to one node in the other graph whereas two g…
Graph MatchingGraduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning
This paper considers the setting of jointly matching and clustering multiple graphs belonging to different groups, which naturally rises in many realistic problems. Both graph matching and clustering are challenging (NP-…
ClusteringGraph MatchingAdversarial Attacks on Deep Graph Matching
Despite achieving remarkable performance, deep graph learning models, such as node classification and network embedding, suffer from harassment caused by small adversarial perturbations. However, the vulnerability analys…
Adversarial AttackDensity EstimationGraph LearningGraph Matching+3Cross-modal registration using point clouds and graph-matching in the context of correlative microscopies
Correlative microscopy aims at combining two or more modalities to gain more information than the one provided by one modality on the same biological structure. Registration is needed at different steps of correlative mi…
Graph MatchingVLG-Net: Video-Language Graph Matching Network for Video Grounding
Grounding language queries in videos aims at identifying the time interval (or moment) semantically relevant to a language query. The solution to this challenging task demands understanding videos' and queries' semantic …
Graph MatchingMoment RetrievalNatural Language Moment RetrievalTemporal Localization+1Dominant Z-Eigenpairs of Tensor Kronecker Products are Decoupled and Applications to Higher-Order Graph Matching
Tensor Kronecker products, the natural generalization of the matrix Kronecker product, are independently emerging in multiple research communities. Like their matrix counterpart, the tensor generalization gives structure…
Graph MatchingDeep Graph Matching and Searching for Semantic Code Retrieval
Code retrieval is to find the code snippet from a large corpus of source code repositories that highly matches the query of natural language description. Recent work mainly uses natural language processing techniques to …
Graph MatchingRetrievalSemantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment
The core problem of visual multi-robot simultaneous localization and mapping (MR-SLAM) is how to efficiently and accurately perform multi-robot global localization (MR-GL). The difficulties are two-fold. The first is the…
Graph MatchingSimultaneous Localization and MappingDSLib: An open source library for the dominant set clustering method
DSLib is an open-source implementation of the Dominant Set (DS) clustering algorithm written entirely in Matlab. The DS method is a graph-based clustering technique rooted in the evolutionary game theory that starts gain…
ClusteringGraph MatchingHigh-Order Relation Construction and Mining for Graph Matching
Graph matching pairs corresponding nodes across two or more graphs. The problem is difficult as it is hard to capture the structural similarity across graphs, especially on large graphs. We propose to incorporate high-or…
Graph MatchingRelationVocal Bursts Intensity PredictionA general approach for identifying hierarchical symmetry constraints for analog circuit layout
Analog layout synthesis requires some elements in the circuit netlist to be matched and placed symmetrically. However, the set of symmetries is very circuit-specific and a versatile algorithm, applicable to a broad varie…
Graph MatchingGraph Neural NetworkSemantic Graph Based Place Recognition for 3D Point Clouds
Due to the difficulty in generating the effective descriptors which are robust to occlusion and viewpoint changes, place recognition for 3D point cloud remains an open issue. Unlike most of the existing methods that focu…
Graph MatchingGraph SimilarityGraph Edit Distance Reward: Learning to Edit Scene Graph
Scene Graph, as a vital tool to bridge the gap between language domain and image domain, has been widely adopted in the cross-modality task like VQA. In this paper, we propose a new method to edit the scene graph accordi…
Graph MatchingImage RetrievalRetrievalVisual Question Answering (VQA)Layered Neighborhood Expansion for Incremental Multiple Graph Matching
Graph matching has been a fundamental problem in computer vision and pattern recognition, for its practical flexibility as well as NP hardness challenge. Though the matching between two graphs and among multiple graphs h…
Graph MatchingDeep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
Building on recent progress at the intersection of combinatorial optimization and deep learning, we propose an end-to-end trainable architecture for deep graph matching that contains unmodified combinatorial solvers. Usi…
Combinatorial OptimizationDeep LearningGraph Matching