Table of Contents

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   Book Overview
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   Chapter 1 Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift
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   Chapter 2 Learning Where to Focus for Efficient Video Object Detection
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   Chapter 3 Learning Object Permanence from Video
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   Chapter 4 Adaptive Text Recognition Through Visual Matching
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   Chapter 5 Actions as Moving Points
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   Chapter 6 Learning to Exploit Multiple Vision Modalities by Using Grafted Networks
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   Chapter 7 Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild
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   Chapter 8 3D Fluid Flow Reconstruction Using Compact Light Field PIV
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    Chapter 9 Contextual Diversity for Active Learning
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    Chapter 10 Temporal Aggregate Representations for Long-Range Video Understanding
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    Chapter 11 Stochastic Fine-Grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition
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    Chapter 12 General 3D Room Layout from a Single View by Render-and-Compare
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    Chapter 13 Neural Dense Non-Rigid Structure from Motion with Latent Space Constraints
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    Chapter 14 Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability
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    Chapter 15 Yet Another Intermediate-Level Attack
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    Chapter 16 Topology-Change-Aware Volumetric Fusion for Dynamic Scene Reconstruction
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    Chapter 17 Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images
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    Chapter 18 PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations
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    Chapter 19 How Does Lipschitz Regularization Influence GAN Training?
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    Chapter 20 Infrastructure-Based Multi-camera Calibration Using Radial Projections
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    Chapter 21 MotionSqueeze: Neural Motion Feature Learning for Video Understanding
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    Chapter 22 Polarized Optical-Flow Gyroscope
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    Chapter 23 Online Meta-learning for Multi-source and Semi-supervised Domain Adaptation
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    Chapter 24 An Ensemble of Epoch-Wise Empirical Bayes for Few-Shot Learning
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    Chapter 25 On the Effectiveness of Image Rotation for Open Set Domain Adaptation
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    Chapter 26 Combining Task Predictors via Enhancing Joint Predictability
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    Chapter 27 Multi-scale Positive Sample Refinement for Few-Shot Object Detection
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    Chapter 28 Single-Image Depth Prediction Makes Feature Matching Easier
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    Chapter 29 Deep Reinforced Attention Learning for Quality-Aware Visual Recognition
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    Chapter 30 CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization
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    Chapter 31 Learning Joint Spatial-Temporal Transformations for Video Inpainting
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    Chapter 32 Single Path One-Shot Neural Architecture Search with Uniform Sampling
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    Chapter 33 Learning to Generate Novel Domains for Domain Generalization
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    Chapter 34 Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections
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    Chapter 35 Impact of Base Dataset Design on Few-Shot Image Classification
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    Chapter 36 Invertible Zero-Shot Recognition Flows
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    Chapter 37 GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes
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    Chapter 38 Location Sensitive Image Retrieval and Tagging
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    Chapter 39 Joint 3D Layout and Depth Prediction from a Single Indoor Panorama Image
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    Chapter 40 Guessing State Tracking for Visual Dialogue
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    Chapter 41 Memory-Efficient Incremental Learning Through Feature Adaptation
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    Chapter 42 Neural Voice Puppetry: Audio-Driven Facial Reenactment
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    Chapter 43 One-Shot Unsupervised Cross-Domain Detection
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    Chapter 44 Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
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    Chapter 45 Probabilistic Future Prediction for Video Scene Understanding
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    Chapter 46 Suppressing Mislabeled Data via Grouping and Self-attention