Papers Visual Localization
“Visual Localization” 태그가 달린 논문 494편 · 필터 해제
Reloc-VGGT: Visual Re-localization with Geometry Grounded Transformer
Visual localization has traditionally been formulated as a pair-wise pose regression problem. Existing approaches mainly estimate relative poses between two images and employ a late-fusion strategy to obtain absolute pos…
Visual LocalizationSelective LoRA for Visual Tokens and Attention Heads
Low-rank adaptation (LoRA) is widely used for parameter-efficient fine-tuning, but its standard all-token, all-head design ignores the heterogeneous structure of vision language model (VLM) inputs. We introduce \emph{Ima…
parameter-efficient fine-tuningVisual LocalizationRobust Scene Coordinate Regression via Geometrically-Consistent Global Descriptors
Recent learning-based visual localization methods use global descriptors to disambiguate visually similar places, but existing approaches often derive these descriptors from geometric cues alone (e.g., covisibility graph…
Visual LocalizationGeneralized Referring Expression Segmentation on Aerial Photos
Referring expression segmentation is a fundamental task in computer vision that integrates natural language understanding with precise visual localization of target regions. Considering aerial imagery (e.g., modern aeria…
Generalized Referring Expression SegmentationNatural Language UnderstandingSemantic SegmentationVisual LocalizationMARVO: Marine-Adaptive Radiance-aware Visual Odometry
Underwater visual localization remains challenging due to wavelength-dependent attenuation, poor texture, and non-Gaussian sensor noise. We introduce MARVO, a physics-aware, learning-integrated odometry framework that fu…
Visual LocalizationVisual OdometryEfficient Greedy Algorithms for Feature Selection in Robot Visual Localization
Robot localization is a fundamental component of autonomous navigation in unknown environments. Among various sensing modalities, visual input from cameras plays a central role, enabling robots to estimate their position…
Computational EfficiencyVisual LocalizationYOWO: You Only Walk Once to Jointly Map An Indoor Scene and Register Ceiling-mounted Cameras
Using ceiling-mounted cameras (CMCs) for indoor visual capturing opens up a wide range of applications. However, registering CMCs to the target scene layout presents a challenging task. While manual registration with spe…
Visual LocalizationGRLoc: Geometric Representation Regression for Visual Localization
Absolute Pose Regression (APR) has emerged as a compelling paradigm for visual localization. However, APR models typically operate as black boxes, directly regressing a 6-DoF pose from a query image, which can lead to me…
Novel View SynthesisVisual LocalizationInverse RenderingPose EstimationLeCoT: revisiting network architecture for two-view correspondence pruning
Two-view correspondence pruning aims to accurately remove incorrect correspondences (outliers) from initial ones and is widely applied to various computer vision tasks. Current popular strategies adopt multilayer percept…
Homography EstimationVisual LocalizationPose EstimationTwinOR: Photorealistic Digital Twins of Dynamic Operating Rooms for Embodied AI Research
Developing embodied AI for intelligent surgical systems requires safe, controllable environments for continual learning and evaluation. However, safety regulations and operational constraints in operating rooms (ORs) lim…
Visual LocalizationContinual LearningMulti-Task Learning for Visually Grounded Reasoning in Gastrointestinal VQA
We present a multi-task framework for the MediaEval Medico 2025 challenge, leveraging a LoRA-tuned Florence-2 model for simultaneous visual question answering (VQA), explanation generation, and visual grounding. The prop…
Visual Question AnsweringExplanation GenerationMulti-Task LearningVisual LocalizationObject-aware graph matching network for cross-domain remote sensing image localization
Cross-domain and cross-modal remote sensing image geo-localization remains challenging due to large appearance discrepancies and unstable semantic correspondence across heterogeneous sensors and platforms. Existing metho…
Graph Neural NetworkVisual LocalizationObject DetectionImage MatchingSemantic Visual Simultaneous Localization and Mapping: A Survey on State of the Art, Challenges, and Future Directions
Semantic Simultaneous Localization and Mapping (SLAM) is a critical area of research within robotics and computer vision, focusing on the simultaneous localization of robotic systems and associating semantic information …
Visual LocalizationSemantic SLAMRobust Visual Localization in Compute-Constrained Environments by Salient Edge Rendering and Weighted Hamming Similarity
We consider the problem of vision-based 6-DoF object pose estimation in the context of the notional Mars Sample Return campaign, in which a robotic arm would need to localize multiple objects of interest for low-clearanc…
Visual LocalizationPose EstimationSGAligner++: Cross-Modal Language-Aided 3D Scene Graph Alignment
Aligning 3D scene graphs is a crucial initial step for several applications in robot navigation and embodied perception. Current methods in 3D scene graph alignment often rely on single-modality point cloud data and stru…
3D Scene Graph AlignmentVisual LocalizationScene Understanding3D ReconstructionOrthoLoC: UAV 6-DoF Localization and Calibration Using Orthographic Geodata
Accurate visual localization from aerial views is a fundamental problem with applications in mapping, large-area inspection, and search-and-rescue operations. In many scenarios, these systems require high-precision local…
Visual LocalizationImage RetrievalDiffVL: Diffusion-Based Visual Localization on 2D Maps via BEV-Conditioned GPS Denoising
Accurate visual localization is crucial for autonomous driving, yet existing methods face a fundamental dilemma: While high-definition (HD) maps provide high-precision localization references, their costly construction a…
Visual LocalizationAutonomous DrivingBridging Vision Language Models and Symbolic Grounding for Video Question Answering
Video Question Answering (VQA) requires models to reason over spatial, temporal, and causal cues in videos. Recent vision language models (VLMs) achieve strong results but often rely on shallow correlations, leading to w…
Video Question AnsweringVisual LocalizationAerial-ground Cross-modal Localization: Dataset, Ground-truth, and Benchmark
Accurate visual localization in dense urban environments poses a fundamental task in photogrammetry, geospatial information science, and robotics. While imagery is a low-cost and widely accessible sensing modality, its e…
Visual LocalizationVisual OdometryPoint CloudsTowards an Accurate and Effective Robot Vision (The Problem of Topological Localization for Mobile Robots)
Topological localization is a fundamental problem in mobile robotics, since robots must be able to determine their position in order to accomplish tasks. Visual localization and place recognition are challenging due to p…
Visual LocalizationText Retrieval