Papers Pose Estimation
“Pose Estimation” 태그가 달린 논문 4,815편 · 필터 해제
Field Converter: Geometry-Initialized Temporal Residual Refinement for World-Grounded Player Pose Estimation from Soccer Broadcasts
Recovering 3D human pose from monocular sports broadcasts remains challenging when players must be localized in a shared metric world coordinate system rather than only reconstructed relative to their own body. We introd…
Pose EstimationRecovering Biomechanical Signals from Missing Keypoints Using Temporal Interpolation in Monocular Gait Analysis
Monocular pose estimation enables low-cost gait analysis but is sensitive to missing keypoints caused by occlusion, detection errors, or efficiency-driven model reduction. While prior work on recovering missing joints fo…
Pose EstimationLucida: Parse, Generate, and Place for Composable Real-to-Sim Scene Modeling
Composable scene modeling aims to recover a real indoor scene as complete, editable object assets arranged as observed, giving robot simulation and embodied AI a simulation-ready replica of the real environment whose obj…
3D Object DetectionPose EstimationSSMB: Self-Supervised Local Feature Detection under Motion Blur
Keypoint detection under motion blur remains a significant challenge, as blur distorts local image structure and degrades the repeatability of feature localization. Existing approaches either rely on computationally expe…
Visual LocalizationKeypoint DetectionPose EstimationImage MatchingA Geometry-Driven, Framework-Agnostic Optimization for Object Pose Estimation
Current object pose estimation research remains predominantly model-centric, focusing on architectural innovations and post-processing refinements. This paper introduces a data-centric optimization by proposing a novel, …
Pose EstimationPhantom Navigator: Stealthy and Precise Unmanned Aerial Vehicle Redirection with Real-Time Tracking and GPS Spoofing
Redirecting unmanned aerial vehicles (UAVs) from their intended mission trajectories has been an active area of research. However, existing UAV redirection attacks lack reliability, precision, and covertness for a target…
Pose EstimationEgoNav: Bridging Learned Waypoints and Geometry-Aware Local Control for Robust Indoor Navigation
Image-goal navigation using lightweight topological maps is a practical paradigm for indoor robot deployment: the map requires only geotagged images, and localization relies on visual matching rather than precise pose es…
Collision AvoidancePose EstimationRobust Validation to Geometric Perturbations for Autonomous Pose Estimation
Deploying autonomous systems in safety-critical domains demands guaranteed robustness against physically plausible geometric perturbations rather than abstract pixel-wise noise. In vision-based navigation and autonomous …
Object DetectionPose EstimationGravity-aware partially calibrated absolute pose estimation from affine- or rotation-covariant features
Inertial measurement units (IMUs) are now standard in most consumer devices, such as smartphones, drones, and extended reality (XR) headsets. By fusing visual and inertial data, localization systems gain significantly in…
Pose EstimationSTEP: Score-Based Temporal Energy for Human Pose Video Anomaly Detection
Skeleton-based Video Anomaly Detection (VAD) offers a robust, privacy-preserving solution for identifying abnormal behaviors. To model the distribution of normal static and moving poses, recent methods train Energy-Based…
Computational EfficiencyVideo Anomaly DetectionPose EstimationPVRA: A Pointwise Key-point Voting Framework for Robotic Assembly
Modern computer vision has enabled partial autonomy in robotic assembly manipulation. However, performing autonomous manipulation of a progressive assembly demands a more specific set of skills, in addition to perceiving…
Pose EstimationUnified and Efficient Point-Line Local Features
Multi-view computer vision pipelines typically rely on accurate sparse keypoints and robust descriptors. While incorporating line features has shown clear benefits for matching and pose estimation, existing point-line ap…
Pose EstimationDevGRU: Depth-guided Visual Navigation using a Collision-aware Recurrent Model
Existing visual navigation models often aim to develop foundation models that can generalize robot navigation across diverse platforms. However, many of these models are prone to collisions when deployed in complex indoo…
Visual NavigationRobot NavigationPose EstimationVideoRun2D Demo: Markerless Body Tracking for Biomechanical Analysis of Running
Human pose estimation has advanced significantly due to the development of deep learning models, increased data availability, and improved computing resources. These developments have led to highly accurate body tracking…
Outlier DetectionPose EstimationPre-training Visual Dexterity in Simulation
Large-scale pre-training has made robot policy fine-tuning increasingly data-efficient, but this progress has largely been driven by datasets and embodiments built around simple parallel-jaw grippers. Dexterous, multi-fi…
Pose EstimationE-S2Feat:Semantic-Guided Spiking Local Feature Detection and Description for Event Cameras
Benefiting from high temporal resolution and dynamic range, event-based local feature methods have attracted increasing attention. However, event sparsity, noise, and limited texture still hinder robust local feature lea…
Pose EstimationCapstan-driven Continuum Surgical Robot: Design, Modeling, and Perception
Shape and force sensing have long been critical bottlenecks in the development of compact capstan-driven continuum surgical robots, primarily due to the difficulty of obtaining cable tension information within the confin…
Pose EstimationA Controlled Study of Self-Supervised Image and Video Pretraining under Limited Resources
Visual foundation models are a cornerstone of image and video understanding but typically require large amounts of data and computation. The current scale required for pretraining visual foundation models may be unsustai…
Self-Supervised LearningRepresentation LearningImage ClassificationPose EstimationFast Iterative Five point Relative Pose Estimation
Robust estimation of the relative pose between two cameras is a fundamental part of Structure and Motion methods. For calibrated cameras, the five point method together with a robust estimator such as RANSAC gives the be…
Pose EstimationAMR-Pose: An Active LED Marker-Based Relative Pose Estimation Framework With Probabilistic Switching PnP for Cooperative AUVs
Reliable relative pose estimation between autonomous underwater vehicles (AUVs) is critical for cooperative ocean exploration, sampling, and multi-robot coordination. However, achieving robust vision-based relative local…
Pose Estimation