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Computer Vision – ACCV 2018 Workshops

14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Gustavo Carneiro

    1. School of Computer Science, University of Adelaide, Adelaide, Australia

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    You can also search for this editor in PubMed   Google Scholar

  2. Shaodi You

    1. Data61, Commonwealth Scientific and Industrial Research Organization, Canberra, Australia

    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 11367)

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

Included in the following conference series:

Conference proceedings info: ACCV 2018.

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Table of contents (42 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Learning and Inference Methods for High-Performance Imaging (LIMHPI)

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Anti-occlusion Light-Field Optical Flow Estimation Using Light-Field Super-Pixels

      • Hao Zhu, Xiaoming Sun, Qi Zhang, Qing Wang, Antonio Robles-Kelly, Hongdong Li
      Pages 3-12

  3. Attention/Intention Understanding (AIU)

    1. Front Matter

      Pages 13-13
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    2. Localizing the Gaze Target of a Crowd of People

      • Yuki Kodama, Yasutomo Kawanishi, Takatsugu Hirayama, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase et al.
      Pages 15-30

    3. A Thumb Tip Wearable Device Consisting of Multiple Cameras to Measure Thumb Posture

      • Naoto Ienaga, Wataru Kawai, Koji Fujita, Natsuki Miyata, Yuta Sugiura, Hideo Saito
      Pages 31-38

    4. Summarizing Videos with Attention

      • Jiri Fajtl, Hajar Sadeghi Sokeh, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino
      Pages 39-54

    5. Gait-Based Age Estimation Using a DenseNet

      • Atsuya Sakata, Yasushi Makihara, Noriko Takemura, Daigo Muramatsu, Yasushi Yagi
      Pages 55-63

    6. Human Action Recognition via Body Part Region Segmented Dense Trajectories

      • Kaho Yamada, Seiya Ito, Naoshi Kaneko, Kazuhiko Sumi
      Pages 64-72

  4. AI Aesthetics in Art and Media (AIAM)

    1. Front Matter

      Pages 73-73
      Download chapter PDF

    2. Let AI Clothe You: Diversified Fashion Generation

      • Rajdeep H. Banerjee, Anoop Rajagopal, Nilpa Jha, Arun Patro, Aruna Rajan
      Pages 75-87

    3. Word-Conditioned Image Style Transfer

      • Yu Sugiyama, Keiji Yanai
      Pages 88-99

    4. Font Style Transfer Using Neural Style Transfer and Unsupervised Cross-domain Transfer

      • Atsushi Narusawa, Wataru Shimoda, Keiji Yanai
      Pages 100-109

    5. Paying Attention to Style: Recognizing Photo Styles with Convolutional Attentional Units

      • John See, Lai-Kuan Wong, Magzhan Kairanbay
      Pages 110-124

  5. Third International Workshop on Robust Reading (IWRR)

    1. Front Matter

      Pages 125-125
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    2. E2E-MLT - An Unconstrained End-to-End Method for Multi-language Scene Text

      • Michal Bušta, Yash Patel, Jiri Matas
      Pages 127-143

    3. An Invoice Reading System Using a Graph Convolutional Network

      • D. Lohani, A. Belaïd, Y. Belaïd
      Pages 144-158

    4. Reading Industrial Inspection Sheets by Inferring Visual Relations

      • Rohit Rahul, Arindam Chowdhury, Animesh, Samarth Mittal, Lovekesh Vig
      Pages 159-173

    5. Learning to Clean: A GAN Perspective

      • Monika Sharma, Abhishek Verma, Lovekesh Vig
      Pages 174-185

    6. Deep Reader: Information Extraction from Document Images via Relation Extraction and Natural Language

      • D. Vishwanath, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma et al.
      Pages 186-201
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Other volumes

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Keywords

About this book

This LNCS workshop proceedings, ACCV 2018, contains carefully reviewed and selected papers from 11 workshops, each having different types or programs: Scene Understanding and Modelling (SUMO) Challenge, Learning and Inference Methods for High Performance Imaging (LIMHPI), Attention/Intention Understanding (AIU), Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning, RGB-D - Sensing and Understanding via Combined Colour and Depth, Dense 3D Reconstruction for Dynamic Scenes, AI Aesthetics in Art and Media (AIAM), Robust Reading (IWRR), Artificial Intelligence for Retinal Image Analysis (AIRIA), Combining Vision and Language, Advanced Machine Vision for Real-life and Industrially Relevant Applications (AMV).

Editors and Affiliations

  • School of Computer Science, University of Adelaide, Adelaide, Australia

    Gustavo Carneiro

  • Data61, Commonwealth Scientific and Industrial Research Organization, Canberra, Australia

    Shaodi You

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