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Computer Vision – ACCV 2018

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

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. C.V. Jawahar

    1. IIIT Hyderabad, Hyderabad, India

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  2. Hongdong Li

    1. ANU, Canberra, Australia

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  3. Greg Mori

    1. Simon Fraser University, Burnaby, Canada

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  4. Konrad Schindler

    1. ETH Zurich, Zurich, Switzerland

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11366)

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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About this book

The six volume set LNCS 11361-11366 constitutes the proceedings of the 14th Asian Conference on Computer Vision, ACCV 2018, held in Perth, Australia, in December 2018. The total of 274 contributions was carefully reviewed and selected from 979 submissions during two rounds of reviewing and improvement. The papers focus on motion and tracking, segmentation and grouping, image-based modeling, dep learning, object recognition object recognition, object detection and categorization, vision and language, video analysis and event recognition, face and gesture analysis, statistical methods and learning, performance evaluation, medical image analysis, document analysis, optimization methods, RGBD and depth camera processing, robotic vision, applications of computer vision.

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Table of contents (46 papers)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Poster Session P2

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Revisiting Distillation and Incremental Classifier Learning

      • Khurram Javed, Faisal Shafait
      Pages 3-17

    3. Common Self-polar Triangle of Concentric Conics for Light Field Camera Calibration

      • Qi Zhang, Qing Wang
      Pages 18-33

    4. CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System

      • Yahui Wang, Shaojun Cai, Shi-Jie Li, Yun Liu, Yangyan Guo, Tao Li et al.
      Pages 34-49

    5. Dense Light Field Reconstruction from Sparse Sampling Using Residual Network

      • Mantang Guo, Hao Zhu, Guoqing Zhou, Qing Wang
      Pages 50-65

    6. Exploring the Challenges Towards Lifelong Fact Learning

      • Mohamed Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Manohar Paluri, Tinne Tuytelaars
      Pages 66-84

    7. Geometric Image Synthesis

      • Hassan Abu Alhaija, Siva Karthik Mustikovela, Andreas Geiger, Carsten Rother
      Pages 85-100

    8. Partial Person Re-identification with Alignment and Hallucination

      • Sara Iodice, Krystian Mikolajczyk
      Pages 101-116

    9. FSNet: An Identity-Aware Generative Model for Image-Based Face Swapping

      • Ryota Natsume, Tatsuya Yatagawa, Shigeo Morishima
      Pages 117-132

    10. A Data-Driven Approach for Direct and Global Component Separation from a Single Image

      • Shijie Nie, Lin Gu, Art Subpa-asa, Ilyes Kacher, Ko Nishino, Imari Sato
      Pages 133-148

    11. ScoringNet: Learning Key Fragment for Action Quality Assessment with Ranking Loss in Skilled Sports

      • Yongjun Li, Xiujuan Chai, Xilin Chen
      Pages 149-164

    12. Style Transfer with Adversarial Learning for Cross-Dataset Person Re-identification

      • Furong Xu, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen
      Pages 165-180

    13. Automatic Graphics Program Generation Using Attention-Based Hierarchical Decoder

      • Zhihao Zhu, Zhan Xue, Zejian Yuan
      Pages 181-196

    14. Occlusion Aware Stereo Matching via Cooperative Unsupervised Learning

      • Ang Li, Zejian Yuan
      Pages 197-213

    15. Background Subtraction Based on Fusion of Color and Local Patterns

      • Md Rifat Arefin, Farkhod Makhmudkhujaev, Oksam Chae, Jaemyun Kim
      Pages 214-230

    16. A Coded Aperture for Watermark Extraction from Defocused Images

      • Hiroki Hamasaki, Shingo Takeshita, Kentaro Nakai, Toshiki Sonoda, Hiroshi Kawasaki, Hajime Nagahara et al.
      Pages 231-246

    17. Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks

      • Muming Zhao, Jian Zhang, Chongyang Zhang, Wenjun Zhang
      Pages 247-261

    18. An Improved Learning Framework for Covariant Local Feature Detection

      • Nehal Doiphode, Rahul Mitra, Shuaib Ahmed, Arjun Jain
      Pages 262-276

    19. Better Guider Predicts Future Better: Difference Guided Generative Adversarial Networks

      • Guohao Ying, Yingtian Zou, Lin Wan, Yiming Hu, Jiashi Feng
      Pages 277-292
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Other volumes

  1. Computer Vision – ACCV 2018

  2. Computer Vision – ACCV 2018

  3. Computer Vision – ACCV 2018

  4. Computer Vision – ACCV 2018

  5. Computer Vision – ACCV 2018

  6. Computer Vision – ACCV 2018

  7. Computer Vision – ACCV 2018 Workshops

Editors and Affiliations

  • IIIT Hyderabad, Hyderabad, India

    C.V. Jawahar

  • ANU, Canberra, Australia

    Hongdong Li

  • Simon Fraser University, Burnaby, Canada

    Greg Mori

  • ETH Zurich, Zurich, Switzerland

    Konrad Schindler

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