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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 Deep Boosting for Image Denoising
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    Chapter 2 Self-Supervised Relative Depth Learning for Urban Scene Understanding
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    Chapter 3 K-convexity Shape Priors for Segmentation
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    Chapter 4 Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
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    Chapter 5 Boosted Attention: Leveraging Human Attention for Image Captioning
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    Chapter 6 Image Inpainting for Irregular Holes Using Partial Convolutions
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    Chapter 7 Fighting Fake News: Image Splice Detection via Learned Self-Consistency
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    Chapter 8 Hand Pose Estimation via Latent 2.5D Heatmap Regression
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    Chapter 9 Depth-Aware CNN for RGB-D Segmentation
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    Chapter 10 CAR-Net: Clairvoyant Attentive Recurrent Network
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    Chapter 11 Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane
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    Chapter 12 Super-Identity Convolutional Neural Network for Face Hallucination
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    Chapter 13 What Do I Annotate Next? An Empirical Study of Active Learning for Action Localization
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    Chapter 14 Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
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    Chapter 15 HairNet: Single-View Hair Reconstruction Using Convolutional Neural Networks
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    Chapter 16 Neural Network Encapsulation
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    Chapter 17 Learning Deep Representations with Probabilistic Knowledge Transfer
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    Chapter 18 Integrating Egocentric Videos in Top-View Surveillance Videos: Joint Identification and Temporal Alignment
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    Chapter 19 Visual-Inertial Object Detection and Mapping
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    Chapter 20 Actor-Centric Relation Network
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    Chapter 21 Liquid Pouring Monitoring via Rich Sensory Inputs
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    Chapter 22 Weakly Supervised Region Proposal Network and Object Detection
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    Chapter 23 Zero-Annotation Object Detection with Web Knowledge Transfer
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    Chapter 24 Receptive Field Block Net for Accurate and Fast Object Detection
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    Chapter 25 Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: The Benefit of Target Expectation Maximization
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    Chapter 26 MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual Network
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    Chapter 27 TS $$^{2}$$ 2 C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection
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    Chapter 28 Hierarchy of Alternating Specialists for Scene Recognition
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    Chapter 29 Move Forward and Tell: A Progressive Generator of Video Descriptions
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    Chapter 30 Learning Monocular Depth by Distilling Cross-Domain Stereo Networks
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    Chapter 31 Video Object Segmentation by Learning Location-Sensitive Embeddings
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    Chapter 32 DPP-Net: Device-Aware Progressive Search for Pareto-Optimal Neural Architectures
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    Chapter 33 Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
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    Chapter 34 Dependency-Aware Attention Control for Unconstrained Face Recognition with Image Sets
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    Chapter 35 Volumetric Performance Capture from Minimal Camera Viewpoints
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    Chapter 36 A Framework for Evaluating 6-DOF Object Trackers
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    Chapter 37 Variable Ring Light Imaging: Capturing Transient Subsurface Scattering with an Ordinary Camera
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    Chapter 38 Large Scale Urban Scene Modeling from MVS Meshes
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    Chapter 39 Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries
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    Chapter 40 Learning Shape Priors for Single-View 3D Completion And Reconstruction
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    Chapter 41 AGIL: Learning Attention from Human for Visuomotor Tasks
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    Chapter 42 Deep Imbalanced Attribute Classification Using Visual Attention Aggregation
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    Chapter 43 Sub-GAN: An Unsupervised Generative Model via Subspaces
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    Chapter 44 Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection
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    Chapter 45 Where Will They Go? Predicting Fine-Grained Adversarial Multi-agent Motion Using Conditional Variational Autoencoders
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    Chapter 46 Learning Data Terms for Non-blind Deblurring
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    Chapter 47 Zero-Shot Deep Domain Adaptation
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    Chapter 48 Comparator Networks
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    Chapter 49 Deep Regionlets for Object Detection
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Mentioned by

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16 tweeters

Citations

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Title
Computer Vision – ECCV 2018
Published by
Springer International Publishing, December 2018
DOI 10.1007/978-3-030-01252-6
ISBNs
978-3-03-001251-9, 978-3-03-001252-6
Editors

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

Twitter Demographics

The data shown below were collected from the profiles of 16 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 %
Student > Master 5 28%
Student > Bachelor 2 11%
Researcher 2 11%
Student > Ph. D. Student 1 6%
Unknown 8 44%
Readers by discipline Count As %
Computer Science 9 50%
Unknown 9 50%