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Computer Vision – ACCV 2018

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Table of Contents

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    Book Overview
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    Chapter 1 Creatures Great and SMAL: Recovering the Shape and Motion of Animals from Video
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    Chapter 2 EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matching
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    Chapter 3 Rectification from Radially-Distorted Scales
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    Chapter 4 Self-supervised Learning of Depth and Camera Motion from 360 $$^\circ $$ Videos
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    Chapter 5 Domain Transfer for 3D Pose Estimation from Color Images Without Manual Annotations
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    Chapter 6 Partially Occluded Hands:
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    Chapter 7 Cross Pixel Optical-Flow Similarity for Self-supervised Learning
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    Chapter 8 DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking
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    Chapter 9 Back-Projection Lightweight Network for Accurate Image Super Resolution
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    Chapter 10 Loss Guided Activation for Action Recognition in Still Images
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    Chapter 11 Visual Odometry for Indoor Mobile Robot by Recognizing Local Manhattan Structures
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    Chapter 12 Capsule Based Image Synthesis for Interior Design Effect Rendering
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    Chapter 13 Deep Upright Adjustment of 360 Panoramas Using Multiple Roll Estimations
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    Chapter 14 DN-ResNet: Efficient Deep Residual Network for Image Denoising
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    Chapter 15 TKDN: Scene Text Detection via Keypoints Detection
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    Chapter 16 Scale-Varying Triplet Ranking with Classification Loss for Facial Age Estimation
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    Chapter 17 Large Scale Scene Text Verification with Guided Attention
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    Chapter 18 On Learning Associations of Faces and Voices
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    Chapter 19 Hand Pose Estimation Based on 3D Residual Network with Data Padding and Skeleton Steadying
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    Chapter 20 Continuous-Time Intensity Estimation Using Event Cameras
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    Chapter 21 Comprehensive Feature Enhancement Module for Single-Shot Object Detector
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    Chapter 22 SingleGAN: Image-to-Image Translation by a Single-Generator Network Using Multiple Generative Adversarial Learning
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    Chapter 23 Deep Embedding Using Bayesian Risk Minimization with Application to Sketch Recognition
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    Chapter 24 Geodesic via Asymmetric Heat Diffusion Based on Finsler Metric
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    Chapter 25 Putting the Anchors Efficiently: Geometric Constrained Pedestrian Detection
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    Chapter 26 Multi-label Learning from Noisy Labels with Non-linear Feature Transformation
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    Chapter 27 Robust Angular Local Descriptor Learning
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    Chapter 28 Weighted Feature Pooling Network in Template-Based Recognition
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    Chapter 29 Efficient Multi-level Correlating for Visual Tracking
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    Chapter 30 Scalable Deep k-Subspace Clustering
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    Chapter 31 Siamese Generative Adversarial Privatizer for Biometric Data
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    Chapter 32 Exploiting LSTM for Joint Object and Semantic Part Detection
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    Chapter 33 X-GACMN: An X-Shaped Generative Adversarial Cross-Modal Network with Hypersphere Embedding
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    Chapter 34 Reverse Densely Connected Feature Pyramid Network for Object Detection
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    Chapter 35 Image-to-GPS Verification Through a Bottom-Up Pattern Matching Network
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    Chapter 36 VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-Constrained Face Video
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    Chapter 37 Multi-level Dense Capsule Networks
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    Chapter 38 DHSGAN: An End to End Dehazing Network for Fog and Smoke
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    Chapter 39 Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction
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    Chapter 40 DeepAMD: Detect Early Age-Related Macular Degeneration by Applying Deep Learning in a Multiple Instance Learning Framework
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    Chapter 41 Depth Reconstruction of Translucent Objects from a Single Time-of-Flight Camera Using Deep Residual Networks
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    Chapter 42 Predicting Driver Attention in Critical Situations
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    Chapter 43 Aligning and Updating Cadaster Maps with Aerial Images by Multi-task, Multi-resolution Deep Learning
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    Chapter 44 SPNet: Deep 3D Object Classification and Retrieval Using Stereographic Projection
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    Chapter 45 SRC-Disp: Synthetic-Realistic Collaborative Disparity Learning for Stereo Matching
Attention for Chapter 28: Weighted Feature Pooling Network in Template-Based Recognition
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Chapter title
Weighted Feature Pooling Network in Template-Based Recognition
Chapter number 28
Book title
Computer Vision – ACCV 2018
Published by
Springer, Cham, May 2019
DOI 10.1007/978-3-030-20873-8_28
Book ISBNs
978-3-03-020872-1, 978-3-03-020873-8
Authors

Zekun Li, Yue Wu, Wael Abd-Almageed, Prem Natarajan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%