Computer Vision – ECCV 2020

Table of Contents

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   Book Overview
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   Chapter 1 SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing
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   Chapter 2 LIMP: Learning Latent Shape Representations with Metric Preservation Priors
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   Chapter 3 Unsupervised Sketch to Photo Synthesis
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   Chapter 4 A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions
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   Chapter 5 SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification
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   Chapter 6 Hierarchical Face Aging Through Disentangled Latent Characteristics
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   Chapter 7 Hybrid Models for Open Set Recognition
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   Chapter 8 TopoGAN: A Topology-Aware Generative Adversarial Network
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    Chapter 9 Learning to Localize Actions from Moments
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    Chapter 10 ForkGAN: Seeing into the Rainy Night
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    Chapter 11 TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning
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    Chapter 12 ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval
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    Chapter 13 TSIT: A Simple and Versatile Framework for Image-to-Image Translation
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    Chapter 14 ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices
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    Chapter 15 HMOR: Hierarchical Multi-person Ordinal Relations for Monocular Multi-person 3D Pose Estimation
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    Chapter 16 Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve
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    Chapter 17 A Unified Framework of Surrogate Loss by Refactoring and Interpolation
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    Chapter 18 Deep Reflectance Volumes: Relightable Reconstructions from Multi-view Photometric Images
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    Chapter 19 Memory-Augmented Dense Predictive Coding for Video Representation Learning
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    Chapter 20 PointMixup: Augmentation for Point Clouds
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    Chapter 21 Identity-Guided Human Semantic Parsing for Person Re-identification
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    Chapter 22 Learning Gradient Fields for Shape Generation
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    Chapter 23 COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder
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    Chapter 24 Corner Proposal Network for Anchor-Free, Two-Stage Object Detection
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    Chapter 25 PhraseClick: Toward Achieving Flexible Interactive Segmentation by Phrase and Click
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    Chapter 26 Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing
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    Chapter 27 Learning Delicate Local Representations for Multi-person Pose Estimation
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    Chapter 28 Learning to Plan with Uncertain Topological Maps
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    Chapter 29 Neural Design Network: Graphic Layout Generation with Constraints
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    Chapter 30 Learning Open Set Network with Discriminative Reciprocal Points
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    Chapter 31 Convolutional Occupancy Networks
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    Chapter 32 Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-view Geometry
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    Chapter 33 TIDE: A General Toolbox for Identifying Object Detection Errors
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    Chapter 34 PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
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    Chapter 35 DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation
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    Chapter 36 Circumventing Outliers of AutoAugment with Knowledge Distillation
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    Chapter 37 S2DNet: Learning Image Features for Accurate Sparse-to-Dense Matching
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    Chapter 38 RTM3D: Real-Time Monocular 3D Detection from Object Keypoints for Autonomous Driving
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    Chapter 39 Video Object Segmentation with Episodic Graph Memory Networks
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    Chapter 40 Rethinking Bottleneck Structure for Efficient Mobile Network Design
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    Chapter 41 Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks
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    Chapter 42 Towards Part-Aware Monocular 3D Human Pose Estimation: An Architecture Search Approach
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    Chapter 43 REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
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    Chapter 44 Contrastive Learning for Weakly Supervised Phrase Grounding
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    Chapter 45 Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-order Feature Analysis