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Computer Vision – ECCV 2018

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Table of Contents

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    Book Overview
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    Chapter 1 BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
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    Chapter 2 Progressive Structure from Motion
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    Chapter 3 Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement
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    Chapter 4 Local Spectral Graph Convolution for Point Set Feature Learning
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    Chapter 5 Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
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    Chapter 6 Real-Time MDNet
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    Chapter 7 Real-Time Hair Rendering Using Sequential Adversarial Networks
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    Chapter 8 Model-free Consensus Maximization for Non-Rigid Shapes
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    Chapter 9 Relaxation-Free Deep Hashing via Policy Gradient
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    Chapter 10 Question Type Guided Attention in Visual Question Answering
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    Chapter 11 Estimating Depth from RGB and Sparse Sensing
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    Chapter 12 Specular-to-Diffuse Translation for Multi-view Reconstruction
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    Chapter 13 Stacked Cross Attention for Image-Text Matching
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    Chapter 14 Deep Texture and Structure Aware Filtering Network for Image Smoothing
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    Chapter 15 VSO: Visual Semantic Odometry
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    Chapter 16 MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models
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    Chapter 17 Single Image Highlight Removal with a Sparse and Low-Rank Reflection Model
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    Chapter 18 Spatio-temporal Channel Correlation Networks for Action Classification
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    Chapter 19 A Zero-Shot Framework for Sketch Based Image Retrieval
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    Chapter 20 Lambda Twist: An Accurate Fast Robust Perspective Three Point (P3P) Solver
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    Chapter 21 Linear RGB-D SLAM for Planar Environments
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    Chapter 22 Attentive Semantic Alignment with Offset-Aware Correlation Kernels
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    Chapter 23 Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification
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    Chapter 24 Deep Discriminative Model for Video Classification
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    Chapter 25 Task-Aware Image Downscaling
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    Chapter 26 Self-calibration of Cameras with Euclidean Image Plane in Case of Two Views and Known Relative Rotation Angle
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    Chapter 27 Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World
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    Chapter 28 DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
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    Chapter 29 Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
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    Chapter 30 Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)
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    Chapter 31 RefocusGAN: Scene Refocusing Using a Single Image
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    Chapter 32 Zero-Shot Keyword Spotting for Visual Speech Recognition In-the-wild
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    Chapter 33 Real-to-Virtual Domain Unification for End-to-End Autonomous Driving
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    Chapter 34 The Mutex Watershed: Efficient, Parameter-Free Image Partitioning
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    Chapter 35 W-TALC: Weakly-Supervised Temporal Activity Localization and Classification
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    Chapter 36 Value-Aware Quantization for Training and Inference of Neural Networks
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    Chapter 37 Fully-Convolutional Point Networks for Large-Scale Point Clouds
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    Chapter 38 Multiple-Gaze Geometry: Inferring Novel 3D Locations from Gazes Observed in Monocular Video
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    Chapter 39 Learning-Based Video Motion Magnification
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    Chapter 40 Massively Parallel Video Networks
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    Chapter 41 DeepWrinkles: Accurate and Realistic Clothing Modeling
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    Chapter 42 Learning Discriminative Video Representations Using Adversarial Perturbations
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    Chapter 43 End-to-End Joint Semantic Segmentation of Actors and Actions in Video
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    Chapter 44 Scaling Egocentric Vision: The Dataset
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    Chapter 45 Unsupervised Person Re-identification by Deep Learning Tracklet Association
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    Chapter 46 Predicting Gaze in Egocentric Video by Learning Task-Dependent Attention Transition
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    Chapter 47 Instance-Level Human Parsing via Part Grouping Network
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    Chapter 48 Adversarial Geometry-Aware Human Motion Prediction
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Mentioned by

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47 tweeters

Citations

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Title
Computer Vision – ECCV 2018
Published by
Springer International Publishing, December 2018
DOI 10.1007/978-3-030-01225-0
ISBNs
978-3-03-001224-3, 978-3-03-001225-0
Editors

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

Twitter Demographics

The data shown below were collected from the profiles of 47 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 19%
Student > Postgraduate 3 19%
Student > Ph. D. Student 2 13%
Professor > Associate Professor 1 6%
Researcher 1 6%
Other 0 0%
Unknown 6 38%
Readers by discipline Count As %
Computer Science 6 38%
Agricultural and Biological Sciences 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Arts and Humanities 1 6%
Engineering 1 6%
Other 0 0%
Unknown 6 38%