Increased global competition has placed a premium on customer satisfaction, and there is a greater demand for manufacturers to be flexible with their products and services. This …
D Maji, S Nagori, M Mathew… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
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 …
Z Geng, K Sun, B Xiao, Z Zhang… - Proceedings of the …, 2021 - openaccess.thecvf.com
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 …
Y Li, S Zhang, Z Wang, S Yang… - Proceedings of the …, 2021 - openaccess.thecvf.com
Human pose estimation deeply relies on visual clues and anatomical constraints between parts to locate keypoints. Most existing CNN-based methods do well in visual …
D Shi, X Wei, L Li, Y Ren, W Tan - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
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 …
Heatmap-based methods dominate in the field of human pose estimation by modelling the output distribution through likelihood heatmaps. In contrast, regression-based methods are …
S Yang, Z Quan, M Nie, W Yang - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
While CNN-based models have made remarkable progress on human pose estimation, what spatial dependencies they capture to localize keypoints remains unclear. In this work …
Deep neural networks based purely on attention have been successful across several domains, relying on minimal architectural priors from the designer. In Human Action …
J Wang, K Sun, T Cheng, B Jiang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
High-resolution representations are essential for position-sensitive vision problems, such as human pose estimation, semantic segmentation, and object detection. Existing state-of-the …