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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 Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation
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    Chapter 2 Gated Hierarchical Attention for Image Captioning
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    Chapter 3 Dealing with Ambiguity in Robotic Grasping via Multiple Predictions
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    Chapter 4 Adaptive Visual-Depth Fusion Transfer
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    Chapter 5 Solving Minimum Cost Lifted Multicut Problems by Node Agglomeration
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    Chapter 6 Robust Deep Multi-modal Learning Based on Gated Information Fusion Network
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    Chapter 7 Hardware-Aware Softmax Approximation for Deep Neural Networks
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    Chapter 8 Video Object Segmentation with Language Referring Expressions
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    Chapter 9 Nonlinear Subspace Feature Enhancement for Image Set Classification
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    Chapter 10 Continual Occlusion and Optical Flow Estimation
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    Chapter 11 Adversarial Learning for Visual Storytelling with Sense Group Partition
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    Chapter 12 Laser Scar Detection in Fundus Images Using Convolutional Neural Networks
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    Chapter 13 Gradient-Guided DCNN for Inverse Halftoning and Image Expanding
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    Chapter 14 Learning from PhotoShop Operation Videos: The PSOV Dataset
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    Chapter 15 A Joint Local and Global Deep Metric Learning Method for Caricature Recognition
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    Chapter 16 Fast Single Shot Instance Segmentation
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    Chapter 17 A Stable Algebraic Camera Pose Estimation for Minimal Configurations of 2D/3D Point and Line Correspondences
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    Chapter 18 Symmetry-Aware Face Completion with Generative Adversarial Networks
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    Chapter 19 GrowBit: Incremental Hashing for Cross-Modal Retrieval
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    Chapter 20 Region-Semantics Preserving Image Synthesis
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    Chapter 21 SemiStarGAN: Semi-supervised Generative Adversarial Networks for Multi-domain Image-to-Image Translation
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    Chapter 22 Gated Transfer Network for Transfer Learning
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    Chapter 23 Detecting Anomalous Trajectories via Recurrent Neural Networks
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    Chapter 24 A Binary Optimization Approach for Constrained K-Means Clustering
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    Chapter 25 LS3D: Single-View Gestalt 3D Surface Reconstruction from Manhattan Line Segments
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    Chapter 26 Deep Supervised Hashing with Spherical Embedding
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    Chapter 27 Semantic Aware Attention Based Deep Object Co-segmentation
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    Chapter 28 PIRC Net: Using Proposal Indexing, Relationships and Context for Phrase Grounding
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    Chapter 29 Paired-D GAN for Semantic Image Synthesis
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    Chapter 30 Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from Single RGB Image
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    Chapter 31 Detecting Text in the Wild with Deep Character Embedding Network
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    Chapter 32 Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation
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    Chapter 33 Identity-Enhanced Network for Facial Expression Recognition
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    Chapter 34 A Novel Multi-scale Invariant Descriptor Based on Contour and Texture for Shape Recognition
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    Chapter 35 PReMVOS: Proposal-Generation, Refinement and Merging for Video Object Segmentation
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    Chapter 36 ColorNet: Investigating the Importance of Color Spaces for Image Classification
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    Chapter 37 Pooling-Based Feature Extraction and Coarse-to-fine Patch Matching for Optical Flow Estimation
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    Chapter 38 Unseen Object Segmentation in Videos via Transferable Representations
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    Chapter 39 Forget and Diversify: Regularized Refinement for Weakly Supervised Object Detection
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    Chapter 40 Task-Adaptive Feature Reweighting for Few Shot Classification
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    Chapter 41 Deep Attention-Based Classification Network for Robust Depth Prediction
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    Chapter 42 Predicting Video Frames Using Feature Based Locally Guided Objectives
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    Chapter 43 A New Temporal Deconvolutional Pyramid Network for Action Detection
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    Chapter 44 Dynamic Temporal Pyramid Network: A Closer Look at Multi-scale Modeling for Activity Detection
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    Chapter 45 Global Regularizer and Temporal-Aware Cross-Entropy for Skeleton-Based Early Action Recognition
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Mentioned by

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4 patents

Citations

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1 Dimensions

Readers on

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33 Mendeley
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Title
Computer Vision – ACCV 2018
Published by
Springer International Publishing, July 2019
DOI 10.1007/978-3-030-20870-7
ISBNs
978-3-03-020869-1, 978-3-03-020870-7
Editors

Jawahar, C.V., Li, Hongdong, Mori, Greg, Schindler, Konrad

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 18%
Student > Doctoral Student 5 15%
Student > Master 5 15%
Student > Postgraduate 2 6%
Student > Bachelor 1 3%
Other 4 12%
Unknown 10 30%
Readers by discipline Count As %
Computer Science 13 39%
Engineering 3 9%
Mathematics 1 3%
Arts and Humanities 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 13 39%