Over the last years deep learning methods have been shown to outperform previous state‐of‐
the‐art machine learning techniques in several fields, with computer vision being one of the …

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 …

摘要近年来, 卷积神经网络(Convolutional neural networks, CNN) 已在图像理解领域得到了
广泛的应用, 引起了研究者的关注. 特别是随着大规模图像数据的产生以及计算机硬件(特别是 …

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 …

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 …

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 …