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Exploring Rare Pose in Human Pose Estimation [PDF]
IEEE Access, 2020 We tackle the issue of data imbalance between different poses in the human pose estimation problem. We explore unusual poses that are rare which occupy a small portion in a pose dataset.
Jihye Hwang, John Yang, Nojun Kwak
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CDO-POSE: A Lightweight Model for 2D Human Pose Estimation [PDF]
SensorsHuman pose estimation (HPE) aims to localize human keypoints from visual inputs, which faces persistent challenges in balancing high accuracy with computational efficiency in resource constrained and real-time scenarios.
Haifeng Xu +3 more
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Monocular Human Depth Estimation Via Pose Estimation
IEEE Access, 2021 We propose a novel monocular depth estimator, which improves the prediction accuracy on human regions by utilizing pose information. The proposed algorithm consists of two networks — PoseNet and DepthNet — to estimate keypoint heatmaps and ...
Jinyoung Jun +3 more
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Pose ResNet: 3D Human Pose Estimation Based on Self-Supervision
Sensors, 2023 The accurate estimation of a 3D human pose is of great importance in many fields, such as human–computer interaction, motion recognition and automatic driving.
Wenxia Bao +4 more
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Deep probabilistic human pose estimation
IET Computer Vision, 2018 The authors consider the problem of human pose estimation using probabilistic convolutional neural networks. They explore ways to improve human pose estimation accuracy on standard pose estimation benchmarks MPII human pose and Leeds Sports Pose (LSP ...
Ilia Petrov +2 more
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Multi-Context Attention for Human Pose Estimation [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 In this paper, we propose to incorporate convolutional neural networks with a multi-context attention mechanism into an end-to-end framework for human pose estimation.
Chu, Xiao +5 more
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A Survey of the State of the Art in Monocular 3D Human Pose Estimation: Methods, Benchmarks, and Challenges [PDF]
SensorsThree-dimensional human pose estimation (3D HPE) from monocular RGB cameras is a fundamental yet challenging task in computer vision, forming the basis of a wide range of applications such as action recognition, metaverse, self-driving, and healthcare ...
Yan Guo +5 more
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ROM-Pose: restoring occluded mask image for 2D human pose estimation [PDF]
PeerJ Computer ScienceHuman pose estimation (HPE) is a field focused on estimating human poses by detecting key points in images. HPE includes methods like top-down and bottom-up approaches. The top-down approach uses a two-stage process, first locating and then detecting key
Yunju Lee, Jihie Kim
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Origin centric and part based pose decomposition for 3D human pose estimation [PDF]
Scientific ReportsTransformer-based approaches have recently made significant advancements in 3D human pose estimation from 2D inputs. Existing methods typically either consider the entire 2D skeleton for global features extraction or break it into independent parts for ...
Zhijie Lin +7 more
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Low-resolution human pose estimation [PDF]
Pattern Recognition, 2022 Human pose estimation has achieved significant progress on images with high imaging resolution. However, low-resolution imagery data bring nontrivial challenges which are still under-studied. To fill this gap, we start with investigating existing methods and reveal that the most dominant heatmap-based methods would suffer more severe model performance ...
Chen Wang +3 more
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