Computer Vision – ACCV 2018

1. Front Matter

   Pages i-xx

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2. Oral Session O1: Learning

   1. Front Matter

      Pages 1-1

      PDF

   2. Dual Generator Generative Adversarial Networks for Multi-domain Image-to-Image Translation

      • Hao Tang, Dan Xu, Wei Wang, Yan Yan, Nicu Sebe

      Pages 3-21

   3. Pioneer Networks: Progressively Growing Generative Autoencoder

      • Ari Heljakka, Arno Solin, Juho Kannala

      Pages 22-38

   4. Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously

      • Kyungjune Baek, Duhyeon Bang, Hyunjung Shim

      Pages 39-55

   5. Cross Connected Network for Efficient Image Recognition

      • Lu Yang, Qing Song, Zuoxin Li, Yingqi Wu, Xiaojie Li, Mengjie Hu

      Pages 56-71

   6. Answer Distillation for Visual Question Answering

      • Zhiwei Fang, Jing Liu, Qu Tang, Yong Li, Hanqing Lu

      Pages 72-87

   7. Spiral-Net with F1-Based Optimization for Image-Based Crack Detection

      • Takumi Kobayashi

      Pages 88-104

   8. Flex-Convolution

      • Fabian Groh, Patrick Wieschollek, Hendrik P. A. Lensch

      Pages 105-122

3. Poster Session P1

   1. Front Matter

      Pages 123-123

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   2. Extreme Reverse Projection Learning for Zero-Shot Recognition

      • Jiechao Guan, An Zhao, Zhiwu Lu

      Pages 125-141

   3. A Defect Inspection Method for Machine Vision Using Defect Probability Image with Deep Convolutional Neural Network

      • Chanhee Jang, Sangyun Yun, Hyejin Hwang, Hyunmin Shin, SeongSoo Kim, Yangsub Park

      Pages 142-154

   4. 3D Pick & Mix: Object Part Blending in Joint Shape and Image Manifolds

      • Adrian Penate-Sanchez, Lourdes Agapito

      Pages 155-170

   5. Minutiae-Based Gender Estimation for Full and Partial Fingerprints of Arbitrary Size and Shape

      • Philipp Terhörst, Naser Damer, Andreas Braun, Arjan Kuijper

      Pages 171-186

   6. Simultaneous Face Detection and Head Pose Estimation: A Fast and Unified Framework

      • Tingfeng Li, Xu Zhao

      Pages 187-202

   7. Progressive Feature Fusion Network for Realistic Image Dehazing

      • Kangfu Mei, Aiwen Jiang, Juncheng Li, Mingwen Wang

      Pages 203-215

   8. Semi-supervised Learning for Face Sketch Synthesis in the Wild

      • Chaofeng Chen, Wei Liu, Xiao Tan, Kwan-Yee K. Wong

      Pages 216-231

   9. Evolvement Constrained Adversarial Learning for Video Style Transfer

      • Wenbo Li, Longyin Wen, Xiao Bian, Siwei Lyu

      Pages 232-248

   10. An Unsupervised Deep Learning Framework via Integrated Optimization of Representation Learning and GMM-Based Modeling

       • Jinghua Wang, Jianmin Jiang

       Pages 249-265

   11. Recovering Affine Features from Orientation- and Scale-Invariant Ones

       • Daniel Barath

       Pages 266-281

The six volume set LNCS 11361-11366 constitutes the proceedings of the 14^th 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.

• artificial intelligence
• classification
• computer networks
• computer vision
• estimation
• face recognition
• image coding
• image processing
• image reconstruction
• image segmentation
• learning algorithms
• motion estimation
• neural networks
• object detection
• object recognition
• reconstruction
• semantics
• Support Vector Machines (SVM)
• telecommunication networks
• user interfaces

• 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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