Pose Prediction
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Benchmarks
Most implemented
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
Estimating 6D Pose From Localizing Designated Surface Keypoints
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
Segmentation-driven 6D Object Pose Estimation
Real-Time Seamless Single Shot 6D Object Pose Prediction
HOnnotate: A method for 3D Annotation of Hand and Object Poses
Papers
Cross-Domain Inference for Human Localization: Applying Wi-Fi RSSI Data to CSI-Trained Models
Wi-Fi signal data can be used to compromise the privacy of individuals. While many existing approaches rely on Channel State Information (CSI), collecting this data on typical IoT devices often requires elevated operatin…
Pose PredictionAn Experimental Study of Downwash Effects on a Continuum Manipulator Integrated with a Multirotor UAV
Continuum arm aerial manipulation systems leverage soft-manipulator compliance and dexterity for tasks in confined or hazardous environments, but propeller downwash can degrade performance, particularly near walls and th…
Pose PredictionTSR-Ego: Temporally Guided Stereo Refinement Framework for Egocentric 3D Human Pose Estimation
Egocentric 3D human pose estimation from head-mounted stereo cameras is challenging due to fisheye distortion, severe self-occlusion, and frequent truncation of body joints outside the camera field of view. Recent stereo…
3D Human Pose EstimationPose PredictionEnvision4D: Envisioning Visual Futures via Feed-forward 4D Gaussian Splatting for Autonomous Driving
Forecasting the future evolution of dynamic scenes is crucial in autonomous driving. However, existing feed-forward paradigms are primarily designed for interpolation. When extended to future extrapolation, they suffer f…
Autonomous DrivingPose PredictionGraspFoM: Towards Reconstruction-Driven Robotic Grasping with 3D Foundation Priors
Robotic grasping is a fundamental capability in robotic manipulation. Yet grasping remains challenging under partial observations. Reliable grasping depends on both local contact cues and object-level 3D structure. Exist…
Robotic GraspingPose PredictionCRB-Guided Framework Design and Resource Allocation for Indoor mmWave ISCC Systems
Integrated sensing, communication, and computation (ISCC) provides a promising framework for indoor human-centric applications. In these applications, short-term human pose prediction facilitates continuous human trackin…
Pose Prediction