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Computer Vision – ECCV 2018

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Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-Based Modeling
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    Chapter 2 Programmable Triangulation Light Curtains
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    Chapter 3 Learning to Separate Object Sounds by Watching Unlabeled Video
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    Chapter 4 Coded Two-Bucket Cameras for Computer Vision
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    Chapter 5 Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image
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    Chapter 6 Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation
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    Chapter 7 Spatio-Temporal Transformer Network for Video Restoration
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    Chapter 8 Dense Pose Transfer
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    Chapter 9 Memory Aware Synapses: Learning What (not) to Forget
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    Chapter 10 Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence
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    Chapter 11 Multimodal Unsupervised Image-to-Image Translation
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    Chapter 12 Deeply Learned Compositional Models for Human Pose Estimation
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    Chapter 13 Unsupervised Video Object Segmentation with Motion-Based Bilateral Networks
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    Chapter 14 Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement
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    Chapter 15 ML-LocNet: Improving Object Localization with Multi-view Learning Network
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    Chapter 16 Diagnosing Error in Temporal Action Detectors
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    Chapter 17 Improved Structure from Motion Using Fiducial Marker Matching
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    Chapter 18 Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training
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    Chapter 19 Towards Human-Level License Plate Recognition
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    Chapter 20 Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition
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    Chapter 21 Quantized Densely Connected U-Nets for Efficient Landmark Localization
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    Chapter 22 Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification
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    Chapter 23 CGIntrinsics: Better Intrinsic Image Decomposition Through Physically-Based Rendering
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    Chapter 24 Simultaneous Edge Alignment and Learning
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    Chapter 25 ICNet for Real-Time Semantic Segmentation on High-Resolution Images
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    Chapter 26 Part-Activated Deep Reinforcement Learning for Action Prediction
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    Chapter 27 Lifelong Learning via Progressive Distillation and Retrospection
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    Chapter 28 A Closed-Form Solution to Photorealistic Image Stylization
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    Chapter 29 Visual Tracking via Spatially Aligned Correlation Filters Network
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    Chapter 30 Online Dictionary Learning for Approximate Archetypal Analysis
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    Chapter 31 Compositing-Aware Image Search
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    Chapter 32 Improving Sequential Determinantal Point Processes for Supervised Video Summarization
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    Chapter 33 Online Detection of Action Start in Untrimmed, Streaming Videos
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    Chapter 34 Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos
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    Chapter 35 Meta-tracker: Fast and Robust Online Adaptation for Visual Object Trackers
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    Chapter 36 Collaborative Deep Reinforcement Learning for Multi-object Tracking
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    Chapter 37 Multi-scale Context Intertwining for Semantic Segmentation
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    Chapter 38 Second-Order Democratic Aggregation
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    Chapter 39 Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd
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    Chapter 40 Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal
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    Chapter 41 Long-Term Tracking in the Wild: A Benchmark
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    Chapter 42 Affinity Derivation and Graph Merge for Instance Segmentation
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    Chapter 43 Generating 3D Faces Using Convolutional Mesh Autoencoders
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    Chapter 44 Hierarchical Relational Networks for Group Activity Recognition and Retrieval
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    Chapter 45 Neural Procedural Reconstruction for Residential Buildings
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    Chapter 46 Simultaneous 3D Reconstruction for Water Surface and Underwater Scene
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    Chapter 47 Women Also Snowboard: Overcoming Bias in Captioning Models
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    Chapter 48 Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery
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    Chapter 49 Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders
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    Chapter 50 Object-Centered Image Stitching
Attention for Chapter 15: ML-LocNet: Improving Object Localization with Multi-view Learning Network
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Chapter title
ML-LocNet: Improving Object Localization with Multi-view Learning Network
Chapter number 15
Book title
Computer Vision – ECCV 2018
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-030-01219-9_15
Book ISBNs
978-3-03-001218-2, 978-3-03-001219-9
Authors

Xiaopeng Zhang, Yang Yang, Jiashi Feng, Zhang, Xiaopeng, Yang, Yang, Feng, Jiashi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 25%
Student > Master 17 16%
Researcher 9 8%
Student > Bachelor 4 4%
Student > Doctoral Student 3 3%
Other 11 10%
Unknown 36 34%
Readers by discipline Count As %
Computer Science 55 52%
Engineering 8 8%
Agricultural and Biological Sciences 2 2%
Materials Science 1 <1%
Economics, Econometrics and Finance 1 <1%
Other 0 0%
Unknown 39 37%