Computer Vision – ECCV 2020

Table of Contents

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   Book Overview
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   Chapter 1 Diffraction Line Imaging
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   Chapter 2 Transforming and Projecting Images into Class-Conditional Generative Networks
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   Chapter 3 Suppress and Balance: A Simple Gated Network for Salient Object Detection
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   Chapter 4 Visual Memorability for Robotic Interestingness via Unsupervised Online Learning
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   Chapter 5 Post-training Piecewise Linear Quantization for Deep Neural Networks
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   Chapter 6 Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification
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   Chapter 7 In-Home Daily-Life Captioning Using Radio Signals
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   Chapter 8 Self-challenging Improves Cross-Domain Generalization
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    Chapter 9 A Competence-Aware Curriculum for Visual Concepts Learning via Question Answering
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    Chapter 10 Multitask Learning Strengthens Adversarial Robustness
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    Chapter 11 S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search
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    Chapter 12 Improving Deep Video Compression by Resolution-Adaptive Flow Coding
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    Chapter 13 Motion Capture from Internet Videos
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    Chapter 14 Appearance-Preserving 3D Convolution for Video-Based Person Re-identification
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    Chapter 15 Solving the Blind Perspective-n-Point Problem End-to-End with Robust Differentiable Geometric Optimization
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    Chapter 16 Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
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    Chapter 17 Deep Spatial-Angular Regularization for Compressive Light Field Reconstruction over Coded Apertures
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    Chapter 18 Video-Based Remote Physiological Measurement via Cross-Verified Feature Disentangling
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    Chapter 19 Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction
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    Chapter 20 Orientation-Aware Vehicle Re-Identification with Semantics-Guided Part Attention Network
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    Chapter 21 Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
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    Chapter 22 CoReNet: Coherent 3D Scene Reconstruction from a Single RGB Image
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    Chapter 23 Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs
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    Chapter 24 RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
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    Chapter 25 Domain-Invariant Stereo Matching Networks
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    Chapter 26 DeepHandMesh: A Weakly-Supervised Deep Encoder-Decoder Framework for High-Fidelity Hand Mesh Modeling
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    Chapter 27 Content Adaptive and Error Propagation Aware Deep Video Compression
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    Chapter 28 Towards Streaming Perception
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    Chapter 29 Towards Automated Testing and Robustification by Semantic Adversarial Data Generation
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    Chapter 30 Adversarial Generative Grammars for Human Activity Prediction
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    Chapter 31 GDumb: A Simple Approach that Questions Our Progress in Continual Learning
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    Chapter 32 Learning Lane Graph Representations for Motion Forecasting
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    Chapter 33 What Matters in Unsupervised Optical Flow
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    Chapter 34 Synthesis and Completion of Facades from Satellite Imagery
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    Chapter 35 Mapillary Planet-Scale Depth Dataset
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    Chapter 36 V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction
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    Chapter 37 Training Interpretable Convolutional Neural Networks by Differentiating Class-Specific Filters
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    Chapter 38 EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
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    Chapter 39 Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation
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    Chapter 40 Cross-Domain Cascaded Deep Translation
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    Chapter 41 “Look Ma, No Landmarks!” – Unsupervised, Model-Based Dense Face Alignment
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    Chapter 42 Online Invariance Selection for Local Feature Descriptors
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    Chapter 43 Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations
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    Chapter 44 TextCaps: A Dataset for Image Captioning with Reading Comprehension
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    Chapter 45 It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction
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    Chapter 46 Learning What to Learn for Video Object Segmentation
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    Chapter 47 Correction to: Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations