50 citations · 128 across the 21 of their papers we have counts for
9 papers · 1 filter
Person Re-identification with Metric Learning using Privileged Information
Xun Yang, Meng Wang, Dacheng Tao
Despite the promising progress made in recent years, person re-identification remains a challenging task due to complex variations in human appearances from different camera views.…
Graphonomy: Universal Human Parsing via Graph Transfer Learning
Ke Gong, Yiming Gao, Xiaodan Liang +3
Prior highly-tuned human parsing models tend to fit towards each dataset in a specific domain or with discrepant label granularity, and can hardly be adapted to other human parsing…
Cross-Entropy Adversarial View Adaptation for Person Re-identification
Lin Wu, Richang Hong, Yang Wang +1
Person re-identification (re-ID) is a task of matching pedestrians under disjoint camera views. To recognise paired snapshots, it has to cope with large cross-view variations cause…
Quality-aware Unpaired Image-to-Image Translation
Lei Chen, Le Wu, Zhenzhen Hu +1
Generative Adversarial Networks (GANs) have been widely used for the image-to-image translation task. While these models rely heavily on the labeled image pairs, recently some GAN…
Learning Symmetry Consistent Deep CNNs for Face Completion
Xiaoming Li, Ming Liu, Jieru Zhu +4
Deep convolutional networks (CNNs) have achieved great success in face completion to generate plausible facial structures. These methods, however, are limited in maintaining global…
3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification
Lin Wu, Yang Wang, Ling Shao +1
In this paper, we introduce a global video representation to video-based person re-identification (re-ID) that aggregates local 3D features across the entire video extent. Most of…