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Pattern Recognition and Computer Vision

First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part II

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Jian-Huang Lai

    1. Sun Yat-sen University, Guangzhou, China

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  2. Cheng-Lin Liu

    1. Institute of Automation, Chinese Academy of Sciences, Beijing, China

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  3. Xilin Chen

    1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

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  4. Jie Zhou

    1. Tsinghua University, Beijing, China

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  5. Tieniu Tan

    1. Institute of Automation, Chinese Academy of Sciences, Beijing, China

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  6. Nanning Zheng

    1. Xi’an Jiaotong University, Xi’an, China

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  7. Hongbin Zha

    1. Peking University, Beijing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11257)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: PRCV 2018.

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Table of contents (45 papers)

  1. Front Matter

    Pages I-XVI
    Download chapter PDF

  2. Deep Learning

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. An Interpretation of Forward-Propagation and Back-Propagation of DNN

      • Guotian Xie, Jianhuang Lai
      Pages 3-15

    3. Multi-attention Guided Activation Propagation in CNNs

      • Xiangteng He, Yuxin Peng
      Pages 16-27

    4. GAN and DCN Based Multi-step Supervised Learning for Image Semantic Segmentation

      • Jie Fang, Xiaoqian Cao
      Pages 28-40

    5. Predicting Aesthetic Radar Map Using a Hierarchical Multi-task Network

      • Xin Jin, Le Wu, Xinghui Zhou, Geng Zhao, Xiaokun Zhang, Xiaodong Li et al.
      Pages 41-50

    6. Blind Image Quality Assessment via Deep Recursive Convolutional Network with Skip Connection

      • Qingsen Yan, Jinqiu Sun, Shaolin Su, Yu Zhu, Haisen Li, Yanning Zhang
      Pages 51-61

    7. Long Term Traffic Flow Prediction Using Residual Net and Deconvolutional Neural Network

      • Di Zang, Yang Fang, Dehai Wang, Zhihua Wei, Keshuang Tang, Xin Li
      Pages 62-74

    8. Pyramidal Combination of Separable Branches for Deep Short Connected Neural Networks

      • Yao Lu, Guangming Lu, Rui Lin, Bing Ma
      Pages 75-86

    9. Feature Visualization Based Stacked Convolutional Neural Network for Human Body Detection in a Depth Image

      • Xiao Liu, Ling Mei, Dakun Yang, Jianhuang Lai, Xiaohua Xie
      Pages 87-98

    10. Convolutional LSTM Based Video Object Detection

      • Xiao Wang, Xiaohua Xie, Jianhuang Lai
      Pages 99-109

    11. Agricultural Question Classification Based on CNN of Cascade Word Vectors

      • Lei Chen, Jin Gao, Yuan Yuan, Li Wan
      Pages 110-121

    12. Spatial Invariant Person Search Network

      • Liangqi Li, Hua Yang, Lin Chen
      Pages 122-133

    13. Image Super-Resolution Based on Dense Convolutional Network

      • Jie Li, Yue Zhou
      Pages 134-145

    14. A Regression Approach for Robust Gait Periodicity Detection with Deep Convolutional Networks

      • Kejun Wang, Liangliang Liu, Xinnan Ding, Yibo Xu, Haolin Wang
      Pages 146-156

    15. Predicting Epileptic Seizures from Intracranial EEG Using LSTM-Based Multi-task Learning

      • Xuelin Ma, Shuang Qiu, Yuxing Zhang, Xiaoqin Lian, Huiguang He
      Pages 157-167

    16. Multi-flow Sub-network and Multiple Connections for Single Shot Detection

      • Ye Li, Huicheng Zheng, Lvran Chen
      Pages 168-179

    17. Consistent Online Multi-object Tracking with Part-Based Deep Network

      • Chuanzhi Xu, Yue Zhou
      Pages 180-192

    18. Deep Supervised Auto-encoder Hashing for Image Retrieval

      • Sanli Tang, Haoyuan Chi, Jie Yang, Xiaolin Huang, Masoumeh Zareapoor
      Pages 193-205

    19. Accurate Spectral Super-Resolution from Single RGB Image Using Multi-scale CNN

      • Yiqi Yan, Lei Zhang, Jun Li, Wei Wei, Yanning Zhang
      Pages 206-217
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Other volumes

  1. Pattern Recognition and Computer Vision

  2. Pattern Recognition and Computer Vision

  3. Pattern Recognition and Computer Vision

  4. Pattern Recognition and Computer Vision

Keywords

About this book

The four-volume set LNCS 11256, 11257, 11258 and 11259 constitutes the refereed proceedings of the First Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018, held in Guangzhou, China, in November 2018.

The 179 revised full papers presented were carefully reviewed and selected from 399 submissions. The papers have been organized in the following topical sections:
Part I: Biometrics, Computer Vision Application. Part II: Deep Learning. Part III: Document Analysis, Face Recognition and Analysis, Feature Extraction and Selection, Machine Learning. Part IV: Object Detection and Tracking, Performance Evaluation and Database, Remote Sensing.

Editors and Affiliations

  • Sun Yat-sen University, Guangzhou, China

    Jian-Huang Lai

  • Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Cheng-Lin Liu, Tieniu Tan

  • Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Xilin Chen

  • Tsinghua University, Beijing, China

    Jie Zhou

  • Xi’an Jiaotong University, Xi’an, China

    Nanning Zheng

  • Peking University, Beijing, China

    Hongbin Zha

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