Papers Pose Prediction
“Pose Prediction” 태그가 달린 논문 189편 · 필터 해제
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 PredictionNot All Tasks Quantize Equally: Fisher-Guided Quantization for Visual Geometry Transformer
Feed-forward 3D reconstruction models, represented by Visual Geometry Grounded Transformer (VGGT), jointly predict multiple visual geometry tasks such as depth estimation, camera pose prediction, and point cloud reconstr…
Camera Pose Estimation3D ReconstructionDepth EstimationPose PredictionLA-Pose: Latent Action Pretraining Meets Pose Estimation
This paper revisits camera pose estimation through the lens of self-supervised pretraining, focusing on inverse-dynamics pretraining as a scalable alternative to the current trend of fully supervised training with 3D ann…
Self-Supervised LearningCamera Pose EstimationPose PredictionEmotion-Conditioned Short-Horizon Human Pose Forecasting with a Lightweight Predictive World Model
Short-term human pose prediction plays a crucial role in interactive systems, assistive robots, and emotion-aware human-computer interaction[1-3]. While current trajectory prediction models primarily rely on geometric mo…
Human Pose ForecastingTrajectory PredictionPose PredictionVGGT-HPE: Reframing Head Pose Estimation as Relative Pose Prediction
Monocular head pose estimation is traditionally formulated as direct regression from a single image to an absolute pose. This paradigm forces the network to implicitly internalize a dataset-specific canonical reference f…
Head Pose EstimationPose PredictionText-Guided 6D Object Pose Rearrangement via Closed-Loop VLM Agents
Vision-Language Models (VLMs) exhibit strong visual reasoning capabilities, yet they still struggle with 3D understanding. In particular, VLMs often fail to infer a text-consistent goal 6D pose of a target object in a 3D…
Robot ManipulationVisual ReasoningMotion PlanningPose PredictionInCaRPose: In-Cabin Relative Camera Pose Estimation Model and Dataset
Camera extrinsic calibration is a fundamental task in computer vision. However, precise relative pose estimation in constrained, highly distorted environments, such as in-cabin automotive monitoring (ICAM), remains chall…
Camera Pose EstimationAutonomous DrivingPose PredictionCov2Pose: Leveraging Spatial Covariance for Direct Manifold-aware 6-DoF Object Pose Estimation
In this paper, we address the problem of 6-DoF object pose estimation from a single RGB image. Indirect methods that typically predict intermediate 2D keypoints, followed by a Perspective-n-Point solver, have shown great…
Pose EstimationPose PredictionSimpliHuMoN: Simplifying Human Motion Prediction
Human motion prediction combines the tasks of trajectory forecasting and human pose prediction. For each of the two tasks, specialized models have been developed. Combining these models for holistic human motion predicti…
Trajectory ForecastingPose PredictionZero-Shot Robotic Manipulation via 3D Gaussian Splatting-Enhanced Multimodal Retrieval-Augmented Generation
Existing end-to-end approaches of robotic manipulation often lack generalization to unseen objects or tasks due to limited data and poor interpretability. While recent Multimodal Large Language Models (MLLMs) demonstrate…
Pose PredictionLearning Force-Regulated Manipulation with a Low-Cost Tactile-Force-Controlled Gripper
Successfully manipulating many everyday objects, such as potato chips, requires precise force regulation. Failure to modulate force can lead to task failure or irreversible damage to the objects. Humans can precisely ach…
Pose PredictionModeling 3D Pedestrian-Vehicle Interactions for Vehicle-Conditioned Pose Forecasting
Accurately predicting pedestrian motion is crucial for safe and reliable autonomous driving in complex urban environments. In this work, we present a 3D vehicle-conditioned pedestrian pose forecasting framework that expl…
Autonomous DrivingPose PredictionBBoxMaskPose v2: Expanding Mutual Conditioning to 3D
Most 2D human pose estimation benchmarks are nearly saturated, with the exception of crowded scenes. We introduce PMPose, a top-down 2D pose estimator that incorporates the probabilistic formulation and the mask-conditio…
2D Human Pose Estimation3D Pose EstimationPose PredictionGarment Inertial Denoiser (GID): Endowing Accurate Motion Capture via Loose IMU Denoiser
Wearable inertial motion capture (MoCap) provides a portable, occlusion-free, and privacy-preserving alternative to camera-based systems, but its accuracy depends on tightly attached sensors - an intrusive and uncomforta…
Pose PredictionSketch2PoseNet: Efficient and Generalized Sketch to 3D Human Pose Prediction
3D human pose estimation from sketches has broad applications in computer animation and film production. Unlike traditional human pose estimation, this task presents unique challenges due to the abstract and disproportio…
3D Human Pose Estimation2D Pose EstimationPose Prediction