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