Papers 2D Human Pose Estimation
“2D Human Pose Estimation” 태그가 달린 논문 125편 · 필터 해제
Beyond Static Frames: Temporal Aggregate-and-Restore Vision Transformer for Human Pose Estimation
Vision Transformers (ViTs) have recently achieved state-of-the-art performance in 2D human pose estimation due to their strong global modeling capability. However, existing ViT-based pose estimators are designed for stat…
2D Human Pose EstimationBBoxMaskPose 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 PredictionFlyPose: Towards Robust Human Pose Estimation From Aerial Views
Unmanned Aerial Vehicles (UAVs) are increasingly deployed in close proximity to humans for applications such as parcel delivery, traffic monitoring, disaster response and infrastructure inspections. Ensuring safe and rel…
2D Human Pose EstimationmilliMamba: Specular-Aware Human Pose Estimation via Dual mmWave Radar with Multi-Frame Mamba Fusion
Millimeter-wave radar offers a privacy-preserving and lighting-invariant alternative to RGB sensors for Human Pose Estimation (HPE) task. However, the radar signals are often sparse due to specular reflection, making the…
2D Human 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 EstimationFrom Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras
Human pose estimation is critical for applications such as rehabilitation, sports analytics, and AR/VR systems. However, rapid motion and low-light conditions often introduce motion blur, significantly degrading pose est…
Unsupervised Domain Adaptation2D Human Pose EstimationProGait: A Multi-Purpose Video Dataset and Benchmark for Transfemoral Prosthesis Users
Prosthetic legs play a pivotal role in clinical rehabilitation, allowing individuals with lower-limb amputations the ability to regain mobility and improve their quality of life. Gait analysis is fundamental for optimizi…
Video Object Segmentation2D Human Pose EstimationDifferentially Private 2D Human Pose Estimation
Human pose estimation (HPE) has become essential in numerous applications including healthcare, activity recognition, and human-computer interaction. However, the privacy implications of processing sensitive visual data …
2D Human Pose EstimationActivity RecognitionPose EstimationPrivacy PreservingA New Teacher-Reviewer-Student Framework for Semi-supervised 2D Human Pose Estimation
Conventional 2D human pose estimation methods typically require extensive labeled annotations, which are both labor-intensive and expensive. In contrast, semi-supervised 2D human pose estimation can alleviate the above p…
2D Human Pose EstimationData AugmentationPose EstimationPoseidon: A ViT-based Architecture for Multi-Frame Pose Estimation with Adaptive Frame Weighting and Multi-Scale Feature Fusion
Human pose estimation, a vital task in computer vision, involves detecting and localising human joints in images and videos. While single-frame pose estimation has seen significant progress, it often fails to capture the…
2D Human Pose EstimationComputational EfficiencyMulti-Person Pose EstimationPose EstimationM3GYM: A Large-Scale Multimodal Multi-view Multi-person Pose Dataset for Fitness Activity Understanding in Real-world Settings
Human pose estimation is a critical task in computer vision for applications in sports analysis, healthcare monitoring, and human-computer interaction. However, existing human pose datasets are collected either from …
2D Human Pose Estimation3D Human Pose EstimationHuman Mesh RecoveryMulti-view 3D Human Pose Estimation+1ProbPose: A Probabilistic Approach to 2D Human Pose Estimation
Current Human Pose Estimation methods have achieved significant improvements. However, state-of-the-art models ignore out-of-image keypoints and use uncalibrated heatmaps as keypoint location representations. To address …
2D Human Pose EstimationData AugmentationPose EstimationDeveloping Normative Gait Cycle Parameters for Clinical Analysis Using Human Pose Estimation
Gait analysis using computer vision is an emerging field in AI, offering clinicians an objective, multi-feature approach to analyse complex movements. Despite its promise, current applications using RGB video data alone …
2D Human Pose EstimationDecision MakingPose EstimationPCNet: a human pose compensation network based on incremental learning for sports actions estimation
Human pose estimation has a wide range of applications. Existing methods perform well in conventional domains, but there are certain defects when they are applied to sports activities. The first is lack of estimation of…
2D Human Pose EstimationIncremental LearningOcclusion HandlingPose EstimationClassroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies
We propose ClassroomKD, a novel multi-mentor knowledge distillation framework inspired by classroom environments to enhance knowledge transfer between student and multiple mentors. Unlike traditional methods that rely on…
2D Human Pose Estimationimage-classificationImage ClassificationKnowledge Distillation+2Sapiens: Foundation for Human Vision Models
We present Sapiens, a family of models for four fundamental human-centric vision tasks -- 2D pose estimation, body-part segmentation, depth estimation, and surface normal prediction. Our models natively support 1K high-r…
2D Human Pose Estimation2D Pose EstimationDepth EstimationHuman Part Segmentation+3Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions
Existing 2D human pose estimation research predominantly concentrates on well-lit scenarios, with limited exploration of poor lighting conditions, which are a prevalent aspect of daily life. Recent studies on low-light p…
2D Human Pose EstimationPose EstimationGTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation
In recent years, 2D human pose estimation has made significant progress on public benchmarks. However, many of these approaches face challenges of less applicability in the industrial community due to the large number of…
2D Human Pose EstimationPose EstimationRTMW: Real-Time Multi-Person 2D and 3D Whole-body Pose Estimation
Whole-body pose estimation is a challenging task that requires simultaneous prediction of keypoints for the body, hands, face, and feet. Whole-body pose estimation aims to predict fine-grained pose information for the hu…
2D Human Pose Estimation2D Pose Estimation3D Human Pose Estimation3D Pose Estimation+1Active Human Pose Estimation via an Autonomous UAV Agent
One of the core activities of an active observer involves moving to secure a "better" view of the scene, where the definition of "better" is task-dependent. This paper focuses on the task of human pose estimation from vi…
2D Human Pose EstimationNavigateNeRFPose Estimation