Papers 2D Pose Estimation
“2D Pose Estimation” 태그가 달린 논문 104편 · 필터 해제
Topology-Unified 2D Pose Estimation across Intact, Residual and Prosthetic Limbs
Driven by the availability of large-scale datasets, Human Pose Estimation (HPE) plays a critical role in numerous downstream tasks. However, mainstream benchmarks exhibit severe representation bias, predominantly featuri…
2D Pose EstimationFactorized Spatio-Temporal Convolutions for Human Pose Estimation from Planar Lidar
Localizing nearby humans and estimating their facing direction are key capabilities for safe navigation and socially aware human-robot interaction. Many pose-estimation pipelines target cameras and 3D LiDAR or assume GPU…
2D Pose EstimationEvaluation Protocols and Validation for Cameras in Indoor Healthcare Monitoring
Camera-based monitoring systems are increasingly adopted in healthcare settings for the continuous assessment of patient movement and activities. However, their technical performance under real-world indoor conditions re…
2D Pose Estimation3D ReconstructionA Machine Learning Framework for Real-Time Personalized Ergonomic Pose Analysis
This paper introduces a new methodology for real-time prediction of ergonomic and non-ergonomic human poses using volumetric video data in three dimensions. Although the methodology was designed for ergonomic assessments…
2D Pose EstimationPoint CloudsAgentic Pipeline for Self-Synchronized Multiview Joint Angle Monitoring in Uncalibrated Environments
Kinematic monitoring plays a critical role in long-term rehabilitation for patients with spinal cord injury (SCI), where multi-view markerless motion capture methods have shown significant potential. However, owing to th…
2D Pose EstimationMuPPet: Multi-person 2D-to-3D Pose Lifting
Multi-person social interactions are inherently built on coherence and relationships among all individuals within the group, making multi-person localization and body pose estimation essential to understanding these soci…
3D Pose Estimation2D Pose EstimationSevere Domain Shift in Skeleton-Based Action Recognition:A Study of Uncertainty Failure in Real-World Gym Environments
The practical deployment gap -- transitioning from controlled multi-view 3D skeleton capture to unconstrained monocular 2D pose estimation -- introduces a compound domain shift whose safety implications remain critically…
Action Recognition2D Pose EstimationGesture Matters: Pedestrian Gesture Recognition for AVs Through Skeleton Pose Evaluation
Gestures are a key component of non-verbal communication in traffic, often helping pedestrian-to-driver interactions when formal traffic rules may be insufficient. This problem becomes more apparent when autonomous vehic…
Gesture RecognitionAutonomous Vehicles2D Pose EstimationPandaPose: 3D Human Pose Lifting from a Single Image via Propagating 2D Pose Prior to 3D Anchor Space
3D human pose lifting from a single RGB image is a challenging task in 3D vision. Existing methods typically establish a direct joint-to-joint mapping from 2D to 3D poses based on 2D features. This formulation suffers fr…
2D Pose EstimationRUMPL: Ray-Based Transformers for Universal Multi-View 2D to 3D Human Pose Lifting
Estimating 3D human poses from 2D images remains challenging due to occlusions and projective ambiguity. Multi-view learning-based approaches mitigate these issues but often fail to generalize to real-world scenarios, as…
2D Pose EstimationEnd-to-End Multi-Person Pose Estimation with Pose-Aware Video Transformer
Existing multi-person video pose estimation methods typically adopt a two-stage pipeline: detecting individuals in each frame, followed by temporal modeling for single person pose estimation. This design relies on heuris…
Multi-Person Pose Estimation2D Human Pose Estimation2D Pose EstimationHGFreNet: Hop-hybrid GraphFomer for 3D Human Pose Estimation with Trajectory Consistency in Frequency Domain
2D-to-3D human pose lifting is a fundamental challenge for 3D human pose estimation in monocular video, where graph convolutional networks (GCNs) and attention mechanisms have proven to be inherently suitable for encodin…
3D Human Pose Estimation2D Pose EstimationSketch2PoseNet: 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 PredictionStable Diffusion-Based Approach for Human De-Occlusion
Humans can infer the missing parts of an occluded object by leveraging prior knowledge and visible cues. However, enabling deep learning models to accurately predict such occluded regions remains a challenging task. De-o…
Visual Question Answering3D Human Reconstruction2D Pose EstimationDETRPose: Real-time end-to-end transformer model for multi-person pose estimation
Multi-person pose estimation (MPPE) estimates keypoints for all individuals present in an image. MPPE is a fundamental task for several applications in computer vision and virtual reality. Unfortunately, there are curren…
2D Pose EstimationDecoderMulti-Person Pose EstimationPose Estimation+1CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx
We introduce CzechLynx, the first large-scale, open-access dataset for individual identification, 2D pose estimation, and instance segmentation of the Eurasian lynx (Lynx lynx). CzechLynx includes more than 30k camera tr…
2D Pose EstimationBenchmarkingInstance SegmentationPose Estimation+2The Way Up: A Dataset for Hold Usage Detection in Sport Climbing
Detecting an athlete's position on a route and identifying hold usage are crucial in various climbing-related applications. However, no climbing dataset with detailed hold usage annotations exists to our knowledge. To ad…
2D Pose EstimationPose EstimationPolar Coordinate-Based 2D Pose Prior with Neural Distance Field
Human pose capture is essential for sports analysis, enabling precise evaluation of athletes' movements. While deep learning-based human pose estimation (HPE) models from RGB videos have achieved impressive performance o…
2D Pose EstimationPose EstimationTowards Unconstrained 2D Pose Estimation of the Human Spine
We present SpineTrack, the first comprehensive dataset for 2D spine pose estimation in unconstrained settings, addressing a crucial need in sports analytics, healthcare, and realistic animation. Existing pose datasets of…
2D Pose EstimationActive LearningKnowledge DistillationPose Estimation+1Transformers with Joint Tokens and Local-Global Attention for Efficient Human Pose Estimation
Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) have led to significant progress in 2D body pose estimation. However, achieving a good balance between accuracy, efficiency, and robustness remains a ch…
2D Pose EstimationComputational EfficiencyPose Estimation