Skip to main content
SpringerLink
Log in

Neural Information Processing

26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part II

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Tom Gedeon

    1. Australian National University, Canberra, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Kok Wai Wong

    1. Murdoch University, Murdoch, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Minho Lee

    1. Kyungpook National University, Daegu, Korea (Republic of)

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11954)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICONIP 2019.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (58 papers)

  1. Front Matter

    Pages i-xxii
    Download chapter PDF

  2. Image Processing by Neural Techniques

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. STNet: A Style Transformation Network for Deep Image Steganography

      • Zihan Wang, Neng Gao, Xin Wang, Ji Xiang, Guanqun Liu
      Pages 3-14

    3. Multi-person 3D Pose Estimation from Monocular Image Sequences

      • Ran Li, Nayun Xu, Xutong Lu, Yucheng Xing, Haohua Zhao, Li Niu et al.
      Pages 15-24

    4. Super-Resolution Network for General Static Degradation Model

      • Yingjie Xu, Wenan Zhou, Ying Xing
      Pages 25-36

    5. Feature Combination Based on Receptive Fields and Cross-Fusion Feature Pyramid for Object Detection

      • Yongqiang Zhao, Yuan Rao, Shipeng Dong, Jiangnan Qi
      Pages 37-49

    6. Multi-scale Information Distillation Network for Image Super Resolution in NSCT Domain

      • Yu Sang, Jinguang Sun, Simiao Wang, Yanfei Peng, Xinjun Zhang, Zhiyang Yang
      Pages 50-59

    7. Image Denoising Networks with Residual Blocks and RReLUs

      • Sheng He, Genke Yang
      Pages 60-69

    8. Shape Description and Retrieval in a Fused Scale Space

      • Wen Zhou, Baojiang Zhong, Jianyu Yang
      Pages 70-82

    9. Only Image Cosine Embedding for Few-Shot Learning

      • Songyi Gao, Weijie Shen, Zelin Liu, An Zhu, Yang Yu
      Pages 83-94

    10. Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes

      • Mingyang Zhong, Brijesh Verma, Joseph Affum
      Pages 95-105

    11. A Robustness and Low Bit-Rate Image Compression Network for Underwater Acoustic Communication

      • Mingyong Zhuang, Yan Luo, Xinghao Ding, Yue Huang, Yinghao Liao
      Pages 106-116

    12. Gated Contiguous Memory U-Net for Single Image Dehazing

      • Lei Xiang, Hang Dong, Fei Wang, Yu Guo, Kaisheng Ma
      Pages 117-127

    13. Combined Correlation Filters with Siamese Region Proposal Network for Visual Tracking

      • Shugang Cui, Shu Tian, Xucheng Yin
      Pages 128-138

    14. RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments

      • Zhen-Liang Ni, Gui-Bin Bian, Xiao-Hu Zhou, Zeng-Guang Hou, Xiao-Liang Xie, Chen Wang et al.
      Pages 139-149

    15. A Novel Image-Based Malware Classification Model Using Deep Learning

      • Yongkang Jiang, Shenghong Li, Yue Wu, Futai Zou
      Pages 150-161

    16. Visual Saliency Detection via Convolutional Gated Recurrent Units

      • Sayanti Bardhan, Sukhendu Das, Shibu Jacob
      Pages 162-174

    17. RBPNET: An Asymptotic Residual Back-Projection Network for Super Resolution of Very Low Resolution Face Image

      • Xuebo Wang, Yao Lu, Xiaozhen Chen, Weiqi Li, Zijian Wang
      Pages 175-186

    18. Accurate Single Image Super-Resolution Using Deep Aggregation Network

      • Xiaozhen Chen, Yao Lu, Xuebo Wang, Weiqi Li, Zijian Wang
      Pages 187-198

    19. Reinforcing LiDAR-Based 3D Object Detection with RGB and 3D Information

      • Wenjian Liu, Yue Zhou
      Pages 199-209
Back to top

Other volumes

  1. Neural Information Processing

  2. Neural Information Processing

  3. Neural Information Processing

  4. Neural Information Processing

  5. Neural Information Processing

Keywords

About this book

The three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019.

The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The second volume, LNCS 11954, is organized in topical sections on image processing by neural techniques; learning from incomplete data; model compression and optimisation; neural learning models; neural network applications; and social network computing.

Editors and Affiliations

  • Australian National University, Canberra, Australia

    Tom Gedeon

  • Murdoch University, Murdoch, Australia

    Kok Wai Wong

  • Kyungpook National University, Daegu, Korea (Republic of)

    Minho Lee

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation