Computer Vision – ECCV 2020

Table of Contents

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   Book Overview
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   Chapter 1 Procrustean Regression Networks: Learning 3D Structure of Non-rigid Objects from 2D Annotations
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   Chapter 2 Learning to Learn Parameterized Classification Networks for Scalable Input Images
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   Chapter 3 Stereo Event-Based Particle Tracking Velocimetry for 3D Fluid Flow Reconstruction
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   Chapter 4 Simplicial Complex Based Point Correspondence Between Images Warped onto Manifolds
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   Chapter 5 Representation Learning on Visual-Symbolic Graphs for Video Understanding
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   Chapter 6 Distance-Normalized Unified Representation for Monocular 3D Object Detection
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   Chapter 7 Sequential Deformation for Accurate Scene Text Detection
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   Chapter 8 Where to Explore Next? ExHistCNN for History-Aware Autonomous 3D Exploration
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    Chapter 9 Semi-supervised Segmentation Based on Error-Correcting Supervision
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    Chapter 10 Quantum-Soft QUBO Suppression for Accurate Object Detection
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    Chapter 11 Label-Similarity Curriculum Learning
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    Chapter 12 Recurrent Image Annotation with Explicit Inter-label Dependencies
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    Chapter 13 Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution
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    Chapter 14 SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data
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    Chapter 15 ByeGlassesGAN: Identity Preserving Eyeglasses Removal for Face Images
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    Chapter 16 Differentiable Joint Pruning and Quantization for Hardware Efficiency
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    Chapter 17 Learning to Generate Customized Dynamic 3D Facial Expressions
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    Chapter 18 LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors
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    Chapter 19 Learning Disentangled Feature Representation for Hybrid-Distorted Image Restoration
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    Chapter 20 Jointly De-Biasing Face Recognition and Demographic Attribute Estimation
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    Chapter 21 Regularized Loss for Weakly Supervised Single Class Semantic Segmentation
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    Chapter 22 Spike-FlowNet: Event-Based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
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    Chapter 23 Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations
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    Chapter 24 Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-linear Activations
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    Chapter 25 Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks
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    Chapter 26 Learning to Learn Words from Visual Scenes
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    Chapter 27 On Transferability of Histological Tissue Labels in Computational Pathology
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    Chapter 28 Learning Actionness via Long-Range Temporal Order Verification
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    Chapter 29 Fully Embedding Fast Convolutional Networks on Pixel Processor Arrays
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    Chapter 30 Character Region Attention for Text Spotting
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    Chapter 31 Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network
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    Chapter 32 Dual Mixup Regularized Learning for Adversarial Domain Adaptation
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    Chapter 33 Robust and On-the-Fly Dataset Denoising for Image Classification
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    Chapter 34 Imaging Behind Occluders Using Two-Bounce Light
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    Chapter 35 Improving Object Detection with Selective Self-supervised Self-training
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    Chapter 36 Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
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    Chapter 37 Info3D: Representation Learning on 3D Objects Using Mutual Information Maximization and Contrastive Learning
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    Chapter 38 Adversarial Data Augmentation via Deformation Statistics
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    Chapter 39 Neural Predictor for Neural Architecture Search
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    Chapter 40 Learning Permutation Invariant Representations Using Memory Networks
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    Chapter 41 Feature Space Augmentation for Long-Tailed Data
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    Chapter 42 Laying the Foundations of Deep Long-Term Crowd Flow Prediction
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    Chapter 43 Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning
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    Chapter 44 Fairness by Learning Orthogonal Disentangled Representations
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    Chapter 45 Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation
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    Chapter 46 On Diverse Asynchronous Activity Anticipation