Computer Vision – ACCV 2018

Table of Contents

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   Book Overview
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   Chapter 1 Embedded Polarizing Filters to Separate Diffuse and Specular Reflection
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   Chapter 2 SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-identification
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   Chapter 3 GhostVLAD for Set-Based Face Recognition
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   Chapter 4 Learning Image-to-Image Translation Using Paired and Unpaired Training Samples
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   Chapter 5 BitNet: Learning-Based Bit-Depth Expansion
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   Chapter 6 Attributes Consistent Faces Generation Under Arbitrary Poses
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   Chapter 7 Cooperative Adversarial Network for Accurate Super Resolution
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   Chapter 8 Cross-Spectral Image Patch Matching by Learning Features of the Spatially Connected Patches in a Shared Space
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    Chapter 9 Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detections
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    Chapter 10 A Deep Blind Image Quality Assessment with Visual Importance Based Patch Score
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    Chapter 11 Robust Video Background Identification by Dominant Rigid Motion Estimation
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    Chapter 12 SMC: Single-Stage Multi-location Convolutional Network for Temporal Action Detection
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    Chapter 13 SAFE: Scale Aware Feature Encoder for Scene Text Recognition
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    Chapter 14 Neural Abstract Style Transfer for Chinese Traditional Painting
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    Chapter 15 Detector-in-Detector: Multi-level Analysis for Human-Parts
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    Chapter 16 Aligning Salient Objects to Queries: A Multi-modal and Multi-object Image Retrieval Framework
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    Chapter 17 Fast Light Field Disparity Estimation via a Parallel Filtered Cost Volume Approach
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    Chapter 18 Perceptual Conditional Generative Adversarial Networks for End-to-End Image Colourization
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    Chapter 19 Self-Referenced Deep Learning
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    Chapter 20 Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking
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    Chapter 21 Learning Free-Form Deformations for 3D Object Reconstruction
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    Chapter 22 CalliGAN: Unpaired Mutli-chirography Chinese Calligraphy Image Translation
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    Chapter 23 End-to-End Detection and Re-identification Integrated Net for Person Search
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    Chapter 24 A CNN-Based Depth Estimation Approach with Multi-scale Sub-pixel Convolutions and a Smoothness Constraint
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    Chapter 25 Ranking Loss: A Novel Metric Learning Method for Person Re-identification
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    Chapter 26 Unsupervised Transformation Network Based on GANs for Target-Domain Oriented Multi-domain Image Translation
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    Chapter 27 A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction
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    Chapter 28 Cross-View Action Recognition Using View-Invariant Pose Feature Learned from Synthetic Data with Domain Adaptation
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    Chapter 29 ImaGAN: Unsupervised Training of Conditional Joint CycleGAN for Transferring Style with Core Structures in Content Preserved
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    Chapter 30 Stochastic Normalizations as Bayesian Learning
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    Chapter 31 Contextual Object Detection with a Few Relevant Neighbors
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    Chapter 32 Album to Family Tree: A Graph Based Method for Family Relationship Recognition
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    Chapter 33 Robust Multimodal Image Registration Using Deep Recurrent Reinforcement Learning
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    Chapter 34 Image Super-Resolution Using Knowledge Distillation
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    Chapter 35 Visual-Linguistic Methods for Receipt Field Recognition
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    Chapter 36 Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization
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    Chapter 37 Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification
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    Chapter 38 FuCoLoT – A Fully-Correlational Long-Term Tracker
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    Chapter 39 Customized Multi-person Tracker
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    Chapter 40 Long-Term Visual Object Tracking Benchmark
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    Chapter 41 Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking
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    Chapter 42 Let’s Take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation
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    Chapter 43 AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects
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    Chapter 44 Semantic Bottleneck for Computer Vision Tasks