Papers Visual Localization
“Visual Localization” 태그가 달린 논문 494편 · 필터 해제
Can we make NeRF-based visual localization privacy-preserving?
Visual localization (VL) is the task of estimating the camera pose in a known scene. VL methods, a.o., can be distinguished based on how they represent the scene, e.g., explicitly through a (sparse) point cloud or a coll…
Novel View SynthesisVisual LocalizationSAIL-Recon: Large SfM by Augmenting Scene Regression with Localization
Scene regression methods, such as VGGT, solve the Structure-from-Motion (SfM) problem by directly regressing camera poses and 3D scene structures from input images. They demonstrate impressive performance in handling ima…
Camera Pose EstimationNovel View SynthesisVisual LocalizationGSVisLoc: Generalizable Visual Localization for Gaussian Splatting Scene Representations
We introduce GSVisLoc, a visual localization method designed for 3D Gaussian Splatting (3DGS) scene representations. Given a 3DGS model of a scene and a query image, our goal is to estimate the camera's position and orie…
Visual LocalizationFineState-Bench: A Comprehensive Benchmark for Fine-Grained State Control in GUI Agents
With the rapid advancement of generative artificial intelligence technology, Graphical User Interface (GUI) agents have demonstrated tremendous potential for autonomously managing daily tasks through natural language ins…
Visual LocalizationGaussian Splatting Feature Fields for Privacy-Preserving Visual Localization
Visual localization is the task of estimating a camera pose in a known environment. In this paper, we utilize 3D Gaussian Splatting (3DGS)-based representations for accurate and privacy-preserving visual localization. We…
Representation LearningVisual LocalizationEH-Benchmark Ophthalmic Hallucination Benchmark and Agent-Driven Top-Down Traceable Reasoning Workflow
Medical Large Language Models (MLLMs) play a crucial role in ophthalmic diagnosis, holding significant potential to address vision-threatening diseases. However, their accuracy is constrained by hallucinations stemming f…
Visual LocalizationCorrMoE: Mixture of Experts with De-stylization Learning for Cross-Scene and Cross-Domain Correspondence Pruning
Establishing reliable correspondences between image pairs is a fundamental task in computer vision, underpinning applications such as 3D reconstruction and visual localization. Although recent methods have made progress …
Visual Localization3D ReconstructionDeveloping an AI-Guided Assistant Device for the Deaf and Hearing Impaired
This study aims to develop a deep learning system for an accessibility device for the deaf or hearing impaired. The device will accurately localize and identify sound sources in real time. This study will fill an importa…
Audio ClassificationVisual LocalizationObject DetectionKaleidoscopic Background Attack: Disrupting Pose Estimation with Multi-Fold Radial Symmetry Textures
Camera pose estimation is a fundamental computer vision task that is essential for applications like visual localization and multi-view stereo reconstruction. In the object-centric scenarios with sparse inputs, the accur…
Camera Pose EstimationPose EstimationVisual LocalizationSCREP: Scene Coordinate Regression and Evidential Learning-based Perception-Aware Trajectory Generation
Autonomous flight in GPS-denied indoor spaces requires trajectories that keep visual-localization error tightly bounded across varied missions. Map-based visual localization methods such as feature matching require compu…
Visual LocalizationPose EstimationEvaluating Attribute Confusion in Fashion Text-to-Image Generation
Despite the rapid advances in Text-to-Image (T2I) generation models, their evaluation remains challenging in domains like fashion, involving complex compositional generation. Recent automated T2I evaluation methods lever…
Attributecross-modal alignmentImage GenerationQuestion Answering+5What's Making That Sound Right Now? Video-centric Audio-Visual Localization
Audio-Visual Localization (AVL) aims to identify sound-emitting sources within a visual scene. However, existing studies focus on image-level audio-visual associations, failing to capture temporal dynamics. Moreover, the…
Visual LocalizationU-ViLAR: Uncertainty-Aware Visual Localization for Autonomous Driving via Differentiable Association and Registration
Accurate localization using visual information is a critical yet challenging task, especially in urban environments where nearby buildings and construction sites significantly degrade GNSS (Global Navigation Satellite Sy…
Visual LocalizationAutonomous DrivingLoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment
We propose a novel method for aerial visual localization over low Level-of-Detail (LoD) city models. Previous wireframe-alignment-based method LoD-Loc has shown promising localization results leveraging LoD models. Howev…
Visual LocalizationPose EstimationMatChA: Cross-Algorithm Matching with Feature Augmentation
State-of-the-art methods fail to solve visual localization in scenarios where different devices use different sparse feature extraction algorithms to obtain keypoints and their corresponding descriptors. Translating feat…
Visual LocalizationOracleFusion: Assisting the Decipherment of Oracle Bone Script with Structurally Constrained Semantic Typography
As one of the earliest ancient languages, Oracle Bone Script (OBS) encapsulates the cultural records and intellectual expressions of ancient civilizations. Despite the discovery of approximately 4,500 OBS characters, onl…
DeciphermentLarge Language ModelMultimodal Large Language ModelVisual LocalizationSemantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles
The uncertainty quantification of sensor measurements coupled with deep learning networks is crucial for many robotics systems, especially for safety-critical applications such as self-driving cars. This paper develops a…
Autonomous DrivingAutonomous VehiclesSelf-Driving CarsUncertainty Quantification+1Hierarchical Image Matching for UAV Absolute Visual Localization via Semantic and Structural Constraints
Absolute localization, aiming to determine an agent's location with respect to a global reference, is crucial for unmanned aerial vehicles (UAVs) in various applications, but it becomes challenging when global navigation…
Image RetrievalVisual LocalizationRobust Visual Localization via Semantic-Guided Multi-Scale Transformer
Visual localization remains challenging in dynamic environments where fluctuating lighting, adverse weather, and moving objects disrupt appearance cues. Despite advances in feature representation, current absolute pose r…
regressionScene UnderstandingVisual LocalizationDeep Learning Reforms Image Matching: A Survey and Outlook
Image matching, which establishes correspondences between two-view images to recover 3D structure and camera geometry, serves as a cornerstone in computer vision and underpins a wide range of applications, including visu…
3D ReconstructionDeep LearningHomography EstimationSimultaneous Localization and Mapping+2