Computer Vision – ECCV 2020

Table of Contents

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   Book Overview
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   Chapter 1 Weakly-Supervised Crowd Counting Learns from Sorting Rather Than Locations
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   Chapter 2 Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition
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   Chapter 3 Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection
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   Chapter 4 Curriculum DeepSDF
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   Chapter 5 Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance
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   Chapter 6 Improved Adversarial Training via Learned Optimizer
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   Chapter 7 Component Divide-and-Conquer for Real-World Image Super-Resolution
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   Chapter 8 Enabling Deep Residual Networks for Weakly Supervised Object Detection
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    Chapter 9 Deep Near-Light Photometric Stereo for Spatially Varying Reflectances
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    Chapter 10 Learning Visual Representations with Caption Annotations
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    Chapter 11 Solving Long-Tailed Recognition with Deep Realistic Taxonomic Classifier
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    Chapter 12 Regression of Instance Boundary by Aggregated CNN and GCN
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    Chapter 13 Social Adaptive Module for Weakly-Supervised Group Activity Recognition
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    Chapter 14 RGB-D Salient Object Detection with Cross-Modality Modulation and Selection
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    Chapter 15 RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval
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    Chapter 16 Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection
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    Chapter 17 Faster Person Re-identification
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    Chapter 18 Quantization Guided JPEG Artifact Correction
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    Chapter 19 3PointTM: Faster Measurement of High-Dimensional Transmission Matrices
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    Chapter 20 Joint Bilateral Learning for Real-Time Universal Photorealistic Style Transfer
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    Chapter 21 Beyond 3DMM Space: Towards Fine-Grained 3D Face Reconstruction
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    Chapter 22 World-Consistent Video-to-Video Synthesis
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    Chapter 23 Commonality-Parsing Network Across Shape and Appearance for Partially Supervised Instance Segmentation
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    Chapter 24 GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild
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    Chapter 25 Event-Based Asynchronous Sparse Convolutional Networks
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    Chapter 26 AtlantaNet: Inferring the 3D Indoor Layout from a Single $$360^\circ $$ 360 ∘ Image Beyond the Manhattan World Assumption
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    Chapter 27 AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification
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    Chapter 28 REMIND Your Neural Network to Prevent Catastrophic Forgetting
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    Chapter 29 Image Classification in the Dark Using Quanta Image Sensors
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    Chapter 30 n -Reference Transfer Learning for Saliency Prediction
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    Chapter 31 Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection
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    Chapter 32 Bottom-Up Temporal Action Localization with Mutual Regularization
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    Chapter 33 On Modulating the Gradient for Meta-learning
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    Chapter 34 Domain-Specific Mappings for Generative Adversarial Style Transfer
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    Chapter 35 DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
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    Chapter 36 DHP: Differentiable Meta Pruning via HyperNetworks
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    Chapter 37 Deep Transferring Quantization
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    Chapter 38 Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification
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    Chapter 39 Temporal Coherence or Temporal Motion: Which Is More Critical for Video-Based Person Re-identification?
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    Chapter 40 Arbitrary-Oriented Object Detection with Circular Smooth Label
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    Chapter 41 Learning Event-Driven Video Deblurring and Interpolation
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    Chapter 42 Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship Inference
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    Chapter 43 Learning to Combine: Knowledge Aggregation for Multi-source Domain Adaptation
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    Chapter 44 CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation
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    Chapter 45 Prototype Mixture Models for Few-Shot Semantic Segmentation
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    Chapter 46 Webly Supervised Image Classification with Self-contained Confidence