Time traveler: A real-time face aging system

  • Lejian Ren
  • , Si Liu*
  • , Yao Sun
  • , Jian Dong
  • , Luoqi Liu
  • , Shuicheng Yan
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We introduce a novel sysetm that can generate face aging results in real-time. It contains sevel important techniques, including face detection, alignmetn, parsing, and a novel Contextual Generative Adversarial Nets (C-GANs) based face aging modules. The C-GANs consists of a conditional transformation network, an age discriminative network and a transition pattern discriminative network.

Original languageEnglish
Title of host publicationMM 2017 - Proceedings of the 2017 ACM Multimedia Conference
PublisherAssociation for Computing Machinery, Inc
Pages1245-1246
Number of pages2
ISBN (Electronic)9781450349062
DOIs
StatePublished - 23 Oct 2017
Externally publishedYes
Event25th ACM International Conference on Multimedia, MM 2017 - Mountain View, United States
Duration: 23 Oct 201727 Oct 2017

Publication series

NameMM 2017 - Proceedings of the 2017 ACM Multimedia Conference

Conference

Conference25th ACM International Conference on Multimedia, MM 2017
Country/TerritoryUnited States
CityMountain View
Period23/10/1727/10/17

Keywords

  • Human parsing
  • Surveillance video parsing system

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