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Deep learning-based human pose estimation: A survey
Human pose estimation aims to locate the human body parts and build human body
representation (eg, body skeleton) from input data such as images and videos. It has drawn …
representation (eg, body skeleton) from input data such as images and videos. It has drawn …
Recent advances of monocular 2D and 3D human pose estimation: A deep learning perspective
Estimation of the human pose from a monocular camera has been an emerging research
topic in the computer vision community with many applications. Recently, benefiting from the …
topic in the computer vision community with many applications. Recently, benefiting from the …
Alphapose: Whole-body regional multi-person pose estimation and tracking in real-time
Accurate whole-body multi-person pose estimation and tracking is an important yet
challenging topic in computer vision. To capture the subtle actions of humans for complex …
challenging topic in computer vision. To capture the subtle actions of humans for complex …
Yolo-pose: Enhancing yolo for multi person pose estimation using object keypoint similarity loss
We introduce YOLO-pose, a novel heatmap-free approach for joint detection, and 2D multi-
person pose estimation in an image based on the popular YOLO object detection …
person pose estimation in an image based on the popular YOLO object detection …
Rtmpose: Real-time multi-person pose estimation based on mmpose
Recent studies on 2D pose estimation have achieved excellent performance on public
benchmarks, yet its application in the industrial community still suffers from heavy model …
benchmarks, yet its application in the industrial community still suffers from heavy model …
Body part-based representation learning for occluded person re-identification
Occluded person re-identification (ReID) is a person retrieval task which aims at matching
occluded person images with holistic ones. For addressing occluded ReID, part-based …
occluded person images with holistic ones. For addressing occluded ReID, part-based …
Multi-animal pose estimation, identification and tracking with DeepLabCut
Estimating the pose of multiple animals is a challenging computer vision problem: frequent
interactions cause occlusions and complicate the association of detected keypoints to the …
interactions cause occlusions and complicate the association of detected keypoints to the …
Bottom-up human pose estimation via disentangled keypoint regression
In this paper, we are interested in the bottom-up paradigm of estimating human poses from
an image. We study the dense keypoint regression framework that is previously inferior to …
an image. We study the dense keypoint regression framework that is previously inferior to …
End-to-end multi-person pose estimation with transformers
Current methods of multi-person pose estimation typically treat the localization and
association of body joints separately. In this paper, we propose the first fully end-to-end multi …
association of body joints separately. In this paper, we propose the first fully end-to-end multi …
Blazepose: On-device real-time body pose tracking
We present BlazePose, a lightweight convolutional neural network architecture for human
pose estimation that is tailored for real-time inference on mobile devices. During inference …
pose estimation that is tailored for real-time inference on mobile devices. During inference …