Papers Multi-Person Pose Estimation
“Multi-Person Pose Estimation” 태그가 달린 논문 156편 · 필터 해제
IMPose: Interactive Multi-person Pose Estimation with Dynamic Correction Propagation
High-quality dynamic human pose annotation equips AI with precise motion kinematics to enable human behavior mastery, yet remains labor-intensive and time-consuming. Current annotation tools either lack temporal correcti…
Multi-Person Pose EstimationMulti-Person Pose Estimation Evaluation Using Optimal Transportation and Improved Pose Matching
In Multi-Person Pose Estimation, many metrics place importance on ranking of pose detection confidence scores. Current metrics tend to disregard false-positive poses with low confidence, focusing primarily on a larger nu…
Multi-Person Pose EstimationER-Pose: Rethinking Keypoint-Driven Representation Learning for Real-Time Human Pose Estimation
Single-stage multi-person pose estimation aims to jointly perform human localization and keypoint prediction within a unified framework, offering advantages in inference efficiency and architectural simplicity. Consequen…
Multi-Person Pose EstimationRepresentation LearningObject DetectionEnd-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 EstimationAn End-to-End Framework for Video Multi-Person Pose Estimation
Video-based human pose estimation models aim to address scenarios that cannot be effectively solved by static image models such as motion blur, out-of-focus and occlusion. Most existing approaches consist of two stages: …
Multi-Person Pose EstimationSEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring
Event-based sensors have emerged as a promising solution for addressing challenging conditions in pedestrian and traffic monitoring systems. Their low-latency and high dynamic range allow for improved response time in sa…
Multi-Person Pose EstimationPose 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+1LGM-Pose: A Lightweight Global Modeling Network for Real-time Human Pose Estimation
Most of the current top-down multi-person pose estimation lightweight methods are based on multi-branch parallel pure CNN network architecture, which often struggle to capture the global context required for detecting se…
Multi-Person Pose EstimationPose EstimationMultiFormer: A Multi-Person Pose Estimation System Based on CSI and Attention Mechanism
Human pose estimation based on Channel State Information (CSI) has emerged as a promising approach for non-intrusive and precise human activity monitoring, yet faces challenges including accurate multi-person pose recogn…
Multi-Person Pose EstimationPose EstimationMulti-person Physics-based Pose Estimation for Combat Sports
We propose a novel framework for accurate 3D human pose estimation in combat sports using sparse multi-camera setups. Our method integrates robust multi-view 2D pose tracking via a transformer-based top-down approach, em…
3D Human Pose Estimation3D Multi-Person Pose EstimationMulti-Person Pose EstimationPose Estimation+4RapidPoseTriangulation: Multi-view Multi-person Whole-body Human Pose Triangulation in a Millisecond
The integration of multi-view imaging and pose estimation represents a significant advance in computer vision applications, offering new possibilities for understanding human movement and interactions. This work presents…
3D Multi-Person Pose EstimationMulti-Person Pose EstimationPose EstimationSimpleDepthPose: Fast and Reliable Human Pose Estimation with RGBD-Images
In the rapidly advancing domain of computer vision, accurately estimating the poses of multiple individuals from various viewpoints remains a significant challenge, especially when reliability is a key requirement. This …
Multi-Person Pose EstimationPose 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 EstimationWaterfall Transformer for Multi-person Pose Estimation
We propose the Waterfall Transformer architecture for Pose estimation (WTPose), a single-pass, end-to-end trainable framework designed for multi-person pose estimation. Our framework leverages a transformer-based waterfa…
Multi-Person Pose EstimationPose EstimationVoxelKeypointFusion: Generalizable Multi-View Multi-Person Pose Estimation
In the rapidly evolving field of computer vision, the task of accurately estimating the poses of multiple individuals from various viewpoints presents a formidable challenge, especially if the estimations should be relia…
3D Human Pose EstimationMulti-Person Pose EstimationPose EstimationDHRNet: A Dual-Path Hierarchical Relation Network for Multi-Person Pose Estimation
Multi-person pose estimation (MPPE) presents a formidable yet crucial challenge in computer vision. Most existing methods predominantly concentrate on isolated interaction either between instances or joints, which is ina…
Multi-Person Pose EstimationPose EstimationRelationRelation NetworkDRSI-Net: Dual-Residual Spatial Interaction Network for Multi-Person Pose Estimation
Multi-person pose estimation (MPPE), which aims to locate the key points for all persons in the frames, is an active research branch of computer vision. Variable human poses and complex scenes make MPPE dependent on loca…
Multi-Person Pose EstimationPose EstimationDiffusionRegPose: Enhancing Multi-Person Pose Estimation using a Diffusion-Based End-to-End Regression Approach
This paper presents the DiffusionRegPose a novel approach to multi-person pose estimation that converts a one-stage end-to-end keypoint regression model into a diffusion-based sampling process. Existing one-stage det…
Multi-Person Pose EstimationPose EstimationregressionRTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation
Real-time multi-person pose estimation presents significant challenges in balancing speed and precision. While two-stage top-down methods slow down as the number of people in the image increases, existing one-stage metho…
GPUMulti-Person Pose EstimationPose EstimationHuman Pose-based Estimation, Tracking and Action Recognition with Deep Learning: A Survey
Human pose analysis has garnered significant attention within both the research community and practical applications, owing to its expanding array of uses, including gaming, video surveillance, sports performance analysi…
2D Pose Estimation3D Pose EstimationAction RecognitionDeep Learning+4