Computer Vision – ECCV 2018

Table of Contents

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   Book Overview
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   Chapter 1 CBAM: Convolutional Block Attention Module
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   Chapter 2 BodyNet: Volumetric Inference of 3D Human Body Shapes
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   Chapter 3 Learning to Segment via Cut-and-Paste
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   Chapter 4 Explainable Neural Computation via Stack Neural Module Networks
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   Chapter 5 Learning to Blend Photos
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   Chapter 6 Switchable Temporal Propagation Network
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   Chapter 7 Multiresolution Tree Networks for 3D Point Cloud Processing
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   Chapter 8 Propagating LSTM: 3D Pose Estimation Based on Joint Interdependency
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    Chapter 9 Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition
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    Chapter 10 HybridNet: Classification and Reconstruction Cooperation for Semi-supervised Learning
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    Chapter 11 Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild
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    Chapter 12 Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image
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    Chapter 13 Escaping from Collapsing Modes in a Constrained Space
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    Chapter 14 Leveraging Motion Priors in Videos for Improving Human Segmentation
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    Chapter 15 Analyzing Clothing Layer Deformation Statistics of 3D Human Motions
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    Chapter 16 Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
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    Chapter 17 Iterative Crowd Counting
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    Chapter 18 Image Super-Resolution Using Very Deep Residual Channel Attention Networks
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    Chapter 19 Layer-Structured 3D Scene Inference via View Synthesis
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    Chapter 20 Real-Time ‘Actor-Critic’ Tracking
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    Chapter 21 Deep Bilinear Learning for RGB-D Action Recognition
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    Chapter 22 Superpixel Sampling Networks
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    Chapter 23 Towards Robust Neural Networks via Random Self-ensemble
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    Chapter 24 EC-Net: An Edge-Aware Point Set Consolidation Network
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    Chapter 25 3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation
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    Chapter 26 Learning to Capture Light Fields Through a Coded Aperture Camera
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    Chapter 27 End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners
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    Chapter 28 Coreset-Based Neural Network Compression
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    Chapter 29 A Joint Sequence Fusion Model for Video Question Answering and Retrieval
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    Chapter 30 Saliency Detection in 360 $$^\circ $$ ∘ Videos
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    Chapter 31 Localization Recall Precision (LRP): A New Performance Metric for Object Detection
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    Chapter 32 Lip Movements Generation at a Glance
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    Chapter 33 Small-Scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation
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    Chapter 34 VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions
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    Chapter 35 Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation
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    Chapter 36 CIRL: Controllable Imitative Reinforcement Learning for Vision-Based Self-driving
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    Chapter 37 Statistically-Motivated Second-Order Pooling
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    Chapter 38 Perturbation Robust Representations of Topological Persistence Diagrams
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    Chapter 39 SegStereo: Exploiting Semantic Information for Disparity Estimation
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    Chapter 40 Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow
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    Chapter 41 Normalized Blind Deconvolution
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    Chapter 42 Improving Generalization via Scalable Neighborhood Component Analysis
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    Chapter 43 Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing
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    Chapter 44 SDC-Net: Video Prediction Using Spatially-Displaced Convolution
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    Chapter 45 Person Search via a Mask-Guided Two-Stream CNN Model
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    Chapter 46 Compound Memory Networks for Few-Shot Video Classification
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    Chapter 47 T $$^2$$ 2 Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks
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    Chapter 48 AMC: AutoML for Model Compression and Acceleration on Mobile Devices
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    Chapter 49 Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation