In the last few years, deep learning has led to very good performance on a variety of problems, such as visual recognition, speech recognition and natural language processing …
Y Chen, Y Tian, M He - Computer vision and image understanding, 2020 - Elsevier
Vision-based monocular human pose estimation, as one of the most fundamental and challenging problems in computer vision, aims to obtain posture of the human body from …
Y Chen, Z Wang, Y Peng, Z Zhang… - Proceedings of the …, 2018 - openaccess.thecvf.com
The topic of multi-person pose estimation has beenlargely improved recently, especially with the developmentof convolutional neural network. However, there still exista lot of …
We present a box-free bottom-up approach for the tasks of pose estimation and instance segmentation of people in multi-person images using an efficient single-shot model. The …
HS Fang, S Xie, YW Tai, C Lu - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Multi-person pose estimation in the wild is challenging. Although state-of-the-art human detectors have demonstrated good performance, small errors in localization and recognition …
We propose a method for multi-person detection and 2-D pose estimation that achieves state-of-art results on the challenging COCO keypoints task. It is a simple, yet powerful, top …
Deep learning algorithms are a subset of the machine learning algorithms, which aim at discovering multiple levels of distributed representations. Recently, numerous deep learning …
We propose a unified formulation for the problem of 3D human pose estimation from a single raw RGB image that reasons jointly about 2D joint estimation and 3D pose reconstruction to …