Human Centric Visual Analysis with Deep Learning

This book introduces the applications of deep learning in various human centric visual analysis tasks, including classical ones like face detection and alignment and some newly rising tasks like fashion clothing parsing. Starting from an overview of current research in human centric visual analysis,...

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Bibliographic Details
Main Authors: Lin, Liang, Zhang, Dongyu (Author), Luo, Ping (Author), Zuo, Wangmeng (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2020, 2020
Edition:1st ed. 2020
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Part I Motivation & Overview
  • Chapter 1: The Foundation and Advances of Deep Learning
  • Chapter 2. Human Centric Visual Analysis: Tasks and Progress
  • Part II Localizing Persons in Images
  • Chapter 3: Face Localization and Enhancement
  • Chapter 4: Pedestrian Detection with RPN and Boosted Forests
  • Part III Parsing Person In Details
  • Chapter 5: Self-supervised Structure-sensitive Learning for Human Parsing
  • Chapter 6: Instance-level Human Parsing
  • Chapter 7: Video Instance-level Human Parsing
  • Part IV Identifying and Verifying Persons
  • Chapter 8: Person Verification
  • Chapter 9: Face Verification
  • Part V Higher Level Tasks
  • Chapter 10: Human Activity Understanding