177 citations · 413 across the 6 of their papers we have counts for
6 papers
CBNet: A Composite Backbone Network Architecture for Object Detection
Tingting Liang, Xiaojie Chu, Yudong Liu +5
Modern top-performing object detectors depend heavily on backbone networks, whose advances bring consistent performance gains through exploring more effective network structures. I…
OriNet: A Fully Convolutional Network for 3D Human Pose Estimation
Chenxu Luo, Xiao Chu, Alan Yuille
In this paper, we propose a fully convolutional network for 3D human pose estimation from monocular images. We use limb orientations as a new way to represent 3D poses and bind the…
Visual Question Generation as Dual Task of Visual Question Answering
Yikang Li, Nan Duan, Bolei Zhou +3
Recently visual question answering (VQA) and visual question generation (VQG) are two trending topics in the computer vision, which have been explored separately. In this work, we…
Multi-Context Attention for Human Pose Estimation
Xiao Chu, Wei Yang, Wanli Ouyang +3
In this paper, we propose to incorporate convolutional neural networks with a multi-context attention mechanism into an end-to-end framework for human pose estimation. We adopt sta…
CRF-CNN: Modeling Structured Information in Human Pose Estimation
Xiao Chu, Wanli Ouyang, Hongsheng Li +1
Deep convolutional neural networks (CNN) have achieved great success. On the other hand, modeling structural information has been proved critical in many vision problems. It is of…
Structured Feature Learning for Pose Estimation
Xiao Chu, Wanli Ouyang, Hongsheng Li +1
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. Different from existin…