1 code implementation • 12 Nov 2018 • Chenxu Luo, Xiao Chu, Alan Yuille
We use limb orientations as a new way to represent 3D poses and bind the orientation together with the bounding box of each limb region to better associate images and predictions.
Ranked #76 on 3D Human Pose Estimation on MPI-INF-3DHP (AUC metric)
no code implementations • CVPR 2018 • Yikang Li, Nan Duan, Bolei Zhou, Xiao Chu, Wanli Ouyang, Xiaogang Wang
Recently visual question answering (VQA) and visual question generation (VQG) are two trending topics in the computer vision, which have been explored separately.
2 code implementations • CVPR 2017 • Xiao Chu, Wei Yang, Wanli Ouyang, Cheng Ma, Alan L. Yuille, Xiaogang Wang
We further combine the holistic attention model, which focuses on the global consistency of the full human body, and the body part attention model, which focuses on the detailed description for different body parts.
Ranked #8 on Pose Estimation on Leeds Sports Poses
no code implementations • NeurIPS 2016 • Xiao Chu, Wanli Ouyang, Hongsheng Li, Xiaogang Wang
In a classical neural network, there is no message passing between neurons in the same layer.
no code implementations • CVPR 2016 • Xiao Chu, Wanli Ouyang, Hongsheng Li, Xiaogang Wang
In this paper, we propose a structured feature learning framework to reason the correlations among body joints at the feature level in human pose estimation.
no code implementations • ICCV 2015 • Xiao Chu, Wanli Ouyang, Wei Yang, Xiaogang Wang
In this paper, we propose to predict immediacy for interacting persons from still images.
no code implementations • CVPR 2014 • Wanli Ouyang, Xiao Chu, Xiaogang Wang
Visual appearance score, appearance mixture type and deformation are three important information sources for human pose estimation.