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Computer Vision – ECCV 2018

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Cover of 'Computer Vision – ECCV 2018'

Table of Contents

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    Book Overview
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    Chapter 1 Learning 3D Keypoint Descriptors for Non-rigid Shape Matching
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    Chapter 2 A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising
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    Chapter 3 NNEval: Neural Network Based Evaluation Metric for Image Captioning
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    Chapter 4 VideoMatch: Matching Based Video Object Segmentation
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    Chapter 5 Context Refinement for Object Detection
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    Chapter 6 SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
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    Chapter 7 Modality Distillation with Multiple Stream Networks for Action Recognition
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    Chapter 8 Interpretable Basis Decomposition for Visual Explanation
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    Chapter 9 Partial Adversarial Domain Adaptation
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    Chapter 10 How Local Is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization
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    Chapter 11 Toward Scale-Invariance and Position-Sensitive Region Proposal Networks
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    Chapter 12 A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers
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    Chapter 13 Multi-object Tracking with Neural Gating Using Bilinear LSTM
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    Chapter 14 Clustering Convolutional Kernels to Compress Deep Neural Networks
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    Chapter 15 Fine-Grained Visual Categorization Using Meta-learning Optimization with Sample Selection of Auxiliary Data
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    Chapter 16 Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in Scenes
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    Chapter 17 Quantization Mimic: Towards Very Tiny CNN for Object Detection
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    Chapter 18 Learning to Solve Nonlinear Least Squares for Monocular Stereo
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    Chapter 19 Extreme Network Compression via Filter Group Approximation
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    Chapter 20 ArticulatedFusion: Real-Time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Camera
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    Chapter 21 MRF Optimization with Separable Convex Prior on Partially Ordered Labels
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    Chapter 22 Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery
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    Chapter 23 LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
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    Chapter 24 Retrospective Encoders for Video Summarization
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    Chapter 25 Constraint-Aware Deep Neural Network Compression
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    Chapter 26 Video Compression Through Image Interpolation
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    Chapter 27 Few-Shot Human Motion Prediction via Meta-learning
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    Chapter 28 Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering
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    Chapter 29 Joint and Progressive Learning from High-Dimensional Data for Multi-label Classification
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    Chapter 30 Video Object Detection with an Aligned Spatial-Temporal Memory
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    Chapter 31 Coded Illumination and Imaging for Fluorescence Based Classification
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    Chapter 32 Multi-scale Residual Network for Image Super-Resolution
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    Chapter 33 A Dataset for Lane Instance Segmentation in Urban Environments
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    Chapter 34 Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-Out Classifiers
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    Chapter 35 Structure-from-Motion-Aware PatchMatch for Adaptive Optical Flow Estimation
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    Chapter 36 Universal Sketch Perceptual Grouping
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    Chapter 37 Imagine This! Scripts to Compositions to Videos
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    Chapter 38 Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data
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    Chapter 39 Quaternion Convolutional Neural Networks
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    Chapter 40 Stereo Relative Pose from Line and Point Feature Triplets
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    Chapter 41 3D Scene Flow from 4D Light Field Gradients
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    Chapter 42 Direct Sparse Odometry with Rolling Shutter
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    Chapter 43 A Style-Aware Content Loss for Real-Time HD Style Transfer
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    Chapter 44 Scale-Awareness of Light Field Camera Based Visual Odometry
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    Chapter 45 Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks
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    Chapter 46 PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction
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    Chapter 47 MVSNet: Depth Inference for Unstructured Multi-view Stereo
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    Chapter 48 ActiveStereoNet: End-to-End Self-supervised Learning for Active Stereo Systems
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    Chapter 49 GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction
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    Chapter 50 Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry
Overall attention for this book and its chapters
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Title
Computer Vision – ECCV 2018
Published by
Springer International Publishing, December 2018
DOI 10.1007/978-3-030-01237-3
ISBNs
978-3-03-001236-6, 978-3-03-001237-3
Editors

Ferrari, Vittorio, Hebert, Martial, Sminchisescu, Cristian, Weiss, Yair

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 33%
Researcher 4 22%
Student > Master 3 17%
Student > Postgraduate 1 6%
Student > Ph. D. Student 1 6%
Other 3 17%
Readers by discipline Count As %
Computer Science 8 44%
Unspecified 6 33%
Engineering 3 17%
Psychology 1 6%