activity
20162019
most citedPose-driven Deep Convolutional Model for Person Re-identification

38 citations · 57 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV201918 cited

Cross-Resolution Face Recognition via Prior-Aided Face Hallucination and Residual Knowledge Distillation

Hanyang Kong, Jian Zhao, Xiaoguang Tu +3

Recent deep learning based face recognition methods have achieved great performance, but it still remains challenging to recognize very low-resolution query face like 28x28 pixels…

cs.CV201738 cited

Pose-driven Deep Convolutional Model for Person Re-identification

Chi Su, Jianing Li, Shiliang Zhang +3

Feature extraction and matching are two crucial components in person Re-Identification (ReID). The large pose deformations and the complex view variations exhibited by the captured…

cs.CV20171 cited

Human Pose Estimation using Global and Local Normalization

Ke Sun, Cuiling Lan, Junliang Xing +3

In this paper, we address the problem of estimating the positions of human joints, i.e., articulated pose estimation. Recent state-of-the-art solutions model two key issues, joint…

cs.CV2017

Generative Partition Networks for Multi-Person Pose Estimation

Xuecheng Nie, Jiashi Feng, Junliang Xing +1

This paper proposes a new Generative Partition Network (GPN) to address the challenging multi-person pose estimation problem. Different from existing models that are either complet…

cs.CV2016

Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks

Wentao Zhu, Cuiling Lan, Junliang Xing +4

Skeleton based action recognition distinguishes human actions using the trajectories of skeleton joints, which provide a very good representation for describing actions. Considerin…