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Computer Vision – ECCV 2018

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Table of Contents

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    Book Overview
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    Chapter 1 Learning 3D Keypoint Descriptors for Non-rigid Shape Matching
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    Chapter 2 A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising
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    Chapter 3 NNEval: Neural Network Based Evaluation Metric for Image Captioning
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    Chapter 4 VideoMatch: Matching Based Video Object Segmentation
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    Chapter 5 Context Refinement for Object Detection
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    Chapter 6 SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
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    Chapter 7 Modality Distillation with Multiple Stream Networks for Action Recognition
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    Chapter 8 Interpretable Basis Decomposition for Visual Explanation
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    Chapter 9 Partial Adversarial Domain Adaptation
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    Chapter 10 How Local Is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization
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    Chapter 11 Toward Scale-Invariance and Position-Sensitive Region Proposal Networks
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    Chapter 12 A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers
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    Chapter 13 Multi-object Tracking with Neural Gating Using Bilinear LSTM
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    Chapter 14 Clustering Convolutional Kernels to Compress Deep Neural Networks
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    Chapter 15 Fine-Grained Visual Categorization Using Meta-learning Optimization with Sample Selection of Auxiliary Data
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    Chapter 16 Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in Scenes
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    Chapter 17 Quantization Mimic: Towards Very Tiny CNN for Object Detection
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    Chapter 18 Learning to Solve Nonlinear Least Squares for Monocular Stereo
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    Chapter 19 Extreme Network Compression via Filter Group Approximation
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    Chapter 20 ArticulatedFusion: Real-Time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Camera
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    Chapter 21 MRF Optimization with Separable Convex Prior on Partially Ordered Labels
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    Chapter 22 Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery
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    Chapter 23 LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
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    Chapter 24 Retrospective Encoders for Video Summarization
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    Chapter 25 Constraint-Aware Deep Neural Network Compression
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    Chapter 26 Video Compression Through Image Interpolation
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    Chapter 27 Few-Shot Human Motion Prediction via Meta-learning
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    Chapter 28 Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering
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    Chapter 29 Joint and Progressive Learning from High-Dimensional Data for Multi-label Classification
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    Chapter 30 Video Object Detection with an Aligned Spatial-Temporal Memory
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    Chapter 31 Coded Illumination and Imaging for Fluorescence Based Classification
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    Chapter 32 Multi-scale Residual Network for Image Super-Resolution
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    Chapter 33 A Dataset for Lane Instance Segmentation in Urban Environments
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    Chapter 34 Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-Out Classifiers
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    Chapter 35 Structure-from-Motion-Aware PatchMatch for Adaptive Optical Flow Estimation
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    Chapter 36 Universal Sketch Perceptual Grouping
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    Chapter 37 Imagine This! Scripts to Compositions to Videos
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    Chapter 38 Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data
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    Chapter 39 Quaternion Convolutional Neural Networks
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    Chapter 40 Stereo Relative Pose from Line and Point Feature Triplets
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    Chapter 41 3D Scene Flow from 4D Light Field Gradients
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    Chapter 42 Direct Sparse Odometry with Rolling Shutter
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    Chapter 43 A Style-Aware Content Loss for Real-Time HD Style Transfer
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    Chapter 44 Scale-Awareness of Light Field Camera Based Visual Odometry
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    Chapter 45 Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks
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    Chapter 46 PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction
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    Chapter 47 MVSNet: Depth Inference for Unstructured Multi-view Stereo
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    Chapter 48 ActiveStereoNet: End-to-End Self-supervised Learning for Active Stereo Systems
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    Chapter 49 GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction
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    Chapter 50 Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry
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