Papers Pose Estimation
“Pose Estimation” 태그가 달린 논문 4,821편 · 필터 해제
RLHND: Video Foundation Models as Physically Grounded Hand Trackers for Robot Learning
Recently, approaches that leverage human video datasets for robot policy training have become increasingly prevalent. However, most existing hand trackers regress pose from cropped frames with limited priors on hand moti…
Pose EstimationGenCOPE: Syn2Real Generalized Category-Level Object Pose Estimation for Robotic Picking
Category-level object pose estimation (COPE), capable of generalizing to intra-class unknown objects, has become a core technique for robotic 3D scene understanding. However, existing COPE methods still require labor-int…
Domain GeneralizationScene UnderstandingPose EstimationSonarVoxNet: Diver Detection in 3D Bounding Box using 3D Sonar
Autonomous underwater vehicles (AUVs) assisting human divers must continuously track not only the diver's 3D position but also their full-body orientation. However, vision-based perception is unreliable underwater, and f…
Pose EstimationGTR: Gated Token Recurrence for Efficient Dense Prediction
Self-attention-based vision backbones perform well on dense prediction, but the quadratic computational cost of global softmax attention limits their efficiency as image resolution increases. We introduce Gated Token Rec…
Monocular Depth EstimationInstance SegmentationSemantic SegmentationPose EstimationBRAVE-6D: Benchmark for Robotic Active Vision in 6DOF Pose Estimation
Detecting and grasping small objects remains a significant challenge in robotics. Active vision, where the robot moves closer to the object, is an intuitive solution, yet comparing approaches on common ground is difficul…
Pose EstimationPriorPose: Reference-Guided Joint Deformation and Alignment for Category-Level Object Pose Estimation
Category-level object pose estimation seeks to recover a similarity transform $(R,t,s)$ for unseen instances without instance-specific CAD models. Most competitive methods are correspondence-based: prior-free variants re…
Pose EstimationField 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 Estimation