Papers Geometric Matching
“Geometric Matching” 태그가 달린 논문 53편 · 필터 해제
Min Generalized Sliced Gromov Wasserstein: A Scalable Path to Gromov Wasserstein
We propose min Generalized Sliced Gromov--Wasserstein (min-GSGW), a sliced formulation for the Gromov--Wasserstein (GW) problem using expressive generalized slicers. The key idea is to learn coupled nonlinear slicers tha…
Geometric MatchingUniCorrn: Unified Correspondence Transformer Across 2D and 3D
Visual correspondence across image-to-image (2D-2D), image-to-point cloud (2D-3D), and point cloud-to-point cloud (3D-3D) geometric matching forms the foundation for numerous 3D vision tasks. Despite sharing a similar pr…
Geometric MatchingPoint CloudsMatRes: Zero-Shot Test-Time Model Adaptation for Simultaneous Matching and Restoration
Real-world image pairs often exhibit both severe degradations and large viewpoint changes, making image restoration and geometric matching mutually interfering tasks when treated independently. In this work, we propose M…
Test-time AdaptationGeometric MatchingImage RestorationTreeLoc: 6-DoF LiDAR Global Localization in Forests via Inter-Tree Geometric Matching
Reliable localization is crucial for navigation in forests, where GPS is often degraded and LiDAR measurements are repetitive, occluded, and structurally complex. These conditions weaken the assumptions of traditional ur…
Geometric MatchingPose EstimationCommunity-Level Modeling of Gyral Folding Patterns for Robust and Anatomically Informed Individualized Brain Mapping
Cortical folding exhibits substantial inter-individual variability while preserving stable anatomical landmarks that enable fine-scale characterization of cortical organization. Among these, the three-hinge gyrus (3HG) s…
Graph Representation LearningGeometric MatchingAutoTour: Automatic Photo Tour Guide with Smartphones and LLMs
We present AutoTour, a system that enhances user exploration by automatically generating fine-grained landmark annotations and descriptive narratives for photos captured by users. The key idea of AutoTour is to fuse visu…
Geometric MatchingViGG: Robust RGB-D Point Cloud Registration using Visual-Geometric Mutual Guidance
Point cloud registration is a fundamental task in 3D vision. Most existing methods only use geometric information for registration. Recently proposed RGB-D registration methods primarily focus on feature fusion or improv…
Point Cloud RegistrationGeometric MatchingSemantic-Enhanced Cross-Modal Place Recognition for Robust Robot Localization
Ensuring accurate localization of robots in environments without GPS capability is a challenging task. Visual Place Recognition (VPR) techniques can potentially achieve this goal, but existing RGB-based methods are sensi…
Visual Place RecognitionContrastive LearningGeometric MatchingThe Utility of Hyperplane Angle Metric in Detecting Financial Concept Drift
In financial time series analysis, introducing a new metric for concept drift is essential to address the limitations of existing evaluation methods, particularly in terms of speed, interpretability and stability. Perfor…
ARCDrift DetectionGeometric MatchingTime Series+1Self-Supervised Spatial Correspondence Across Modalities
We present a method for finding cross-modal space-time correspondences. Given two images from different visual modalities, such as an RGB image and a depth map, our model identifies which pairs of pixels correspond …
Geometric MatchingSemantic correspondenceBridging Viewpoint Gaps: Geometric Reasoning Boosts Semantic Correspondence
Finding semantic correspondences between images is a challenging problem in computer vision, particularly under significant viewpoint changes. Previous methods rely on semantic features from pre-trained 2D models lik…
Geometric MatchingSemantic correspondenceCross-View Completion Models are Zero-shot Correspondence Estimators
In this work, we explore new perspectives on cross-view completion learning by drawing an analogy to self-supervised correspondence learning. Through our analysis, we demonstrate that the cross-attention map within cross…
DecoderDepth EstimationGeometric MatchingHierarchical Cross-Attention Network for Virtual Try-On
In this paper, we present an innovative solution for the challenges of the virtual try-on task: our novel Hierarchical Cross-Attention Network (HCANet). HCANet is crafted with two primary stages: geometric matching and t…
Geometric MatchingVirtual Try-onUnifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
This paper introduces a Transformer-based integrative feature and cost aggregation network designed for dense matching tasks. In the context of dense matching, many works benefit from one of two forms of aggregation: fea…
Geometric MatchingBoosting Multi-view Stereo with Late Cost Aggregation
Pairwise matching cost aggregation is a crucial step for modern learning-based Multi-view Stereo (MVS). Prior works adopt an early aggregation scheme, which adds up pairwise costs into an intermediate cost. However, we a…
BlockingGeometric MatchingMorphology Edge Attention Network and Optimal Geometric Matching Connection model for vascular segmentation
There are many unsolved problems in vascular image segmentation, including vascular structural connectivity, scarce branches and missing small vessels. Obtaining vessels that preserve their correct topological structures…
Geometric MatchingImage SegmentationSegmentationSemantic SegmentationVGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts
In the field of historical manuscript research, scholars frequently encounter novel symbols in ancient texts, investing considerable effort in their identification and documentation. Although existing object detection me…
Geometric MatchingMetric Learningobject-detectionObject Detection+2PMatch: Paired Masked Image Modeling for Dense Geometric Matching
Dense geometric matching determines the dense pixel-wise correspondence between a source and support image corresponding to the same 3D structure. Prior works employ an encoder of transformer blocks to correlate the two-…
DecoderGeometric Matchingimage-classificationImage ClassificationRethinking Optical Flow from Geometric Matching Consistent Perspective
Optical flow estimation is a challenging problem remaining unsolved. Recent deep learning based optical flow models have achieved considerable success. However, these models often train networks from the scratch on stand…
Geometric MatchingOptical Flow EstimationGeometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training
Learning inter-image similarity is crucial for 3D medical images self-supervised pre-training, due to their sharing of numerous same semantic regions. However, the lack of the semantic prior in metrics and the semantic-i…
Geometric MatchingRepresentation Learning