Table of Contents

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   Book Overview
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   Chapter 1 CNN-PS: CNN-Based Photometric Stereo for General Non-convex Surfaces
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   Chapter 2 Dynamic Conditional Networks for Few-Shot Learning
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   Chapter 3 Deep Factorised Inverse-Sketching
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   Chapter 4 Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss
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   Chapter 5 Summarizing First-Person Videos from Third Persons’ Points of Views
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   Chapter 6 Learning Single-View 3D Reconstruction with Limited Pose Supervision
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   Chapter 7 Weakly- and Semi-supervised Panoptic Segmentation
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   Chapter 8 Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation
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    Chapter 9 Deep Co-Training for Semi-Supervised Image Recognition
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    Chapter 10 Visual Coreference Resolution in Visual Dialog Using Neural Module Networks
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    Chapter 11 Learning Blind Video Temporal Consistency
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    Chapter 12 Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground
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    Chapter 13 Gray-Box Adversarial Training
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    Chapter 14 Visual Question Answering as a Meta Learning Task
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    Chapter 15 On Offline Evaluation of Vision-Based Driving Models
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    Chapter 16 Visual Psychophysics for Making Face Recognition Algorithms More Explainable
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    Chapter 17 Conditional Prior Networks for Optical Flow
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    Chapter 18 Robust Optical Flow in Rainy Scenes
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    Chapter 19 Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
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    Chapter 20 Variational Wasserstein Clustering
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    Chapter 21 Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data
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    Chapter 22 Contour Knowledge Transfer for Salient Object Detection
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    Chapter 23 Learning Category-Specific Mesh Reconstruction from Image Collections
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    Chapter 24 Learning to Forecast and Refine Residual Motion for Image-to-Video Generation
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    Chapter 25 Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks
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    Chapter 26 SketchyScene: Richly-Annotated Scene Sketches
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    Chapter 27 Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility
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    Chapter 28 Revisiting RCNN: On Awakening the Classification Power of Faster RCNN
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    Chapter 29 Semi-supervised Generative Adversarial Hashing for Image Retrieval
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    Chapter 30 Person Re-identification with Deep Similarity-Guided Graph Neural Network
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    Chapter 31 Learning and Matching Multi-View Descriptors for Registration of Point Clouds
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    Chapter 32 Revisiting Autofocus for Smartphone Cameras
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    Chapter 33 Deep Burst Denoising
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    Chapter 34 ISNN: Impact Sound Neural Network for Audio-Visual Object Classification
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    Chapter 35 StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction
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    Chapter 36 Attention-Aware Deep Adversarial Hashing for Cross-Modal Retrieval
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    Chapter 37 3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
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    Chapter 38 Deep Domain Generalization via Conditional Invariant Adversarial Networks
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    Chapter 39 Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks
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    Chapter 40 HiDDeN: Hiding Data With Deep Networks
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    Chapter 41 Multimodal Dual Attention Memory for Video Story Question Answering
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    Chapter 42 Deep Variational Metric Learning
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    Chapter 43 HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration
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    Chapter 44 Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm
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    Chapter 45 Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition
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    Chapter 46 Broadcasting Convolutional Network for Visual Relational Reasoning
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    Chapter 47 Improving Spatiotemporal Self-supervision by Deep Reinforcement Learning
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    Chapter 48 Learning to Look around Objects for Top-View Representations of Outdoor Scenes
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    Chapter 49 Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences
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    Chapter 50 Deep Component Analysis via Alternating Direction Neural Networks
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    Chapter 51 ADVISE: Symbolism and External Knowledge for Decoding Advertisements