Computer Vision – ECCV 2022

Table of Contents

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   Book Overview
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   Chapter 1 Learning Depth from Focus in the Wild
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   Chapter 2 Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World
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   Chapter 3 An End-to-End Transformer Model for Crowd Localization
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   Chapter 4 Few-Shot Single-View 3D Reconstruction with Memory Prior Contrastive Network
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   Chapter 5 DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection
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   Chapter 6 Adaptive Co-teaching for Unsupervised Monocular Depth Estimation
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   Chapter 7 Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects
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   Chapter 8 Lidar Point Cloud Guided Monocular 3D Object Detection
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    Chapter 9 Structural Causal 3D Reconstruction
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    Chapter 10 3D Human Pose Estimation Using Möbius Graph Convolutional Networks
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    Chapter 11 Learning to Train a Point Cloud Reconstruction Network Without Matching
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    Chapter 12 PanoFormer: Panorama Transformer for Indoor 360 $$^{\circ }$$ ∘ Depth Estimation
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    Chapter 13 Self-supervised Human Mesh Recovery with Cross-Representation Alignment
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    Chapter 14 AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction
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    Chapter 15 A Reliable Online Method for Joint Estimation of Focal Length and Camera Rotation
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    Chapter 16 PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo
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    Chapter 17 Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency
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    Chapter 18 Towards Comprehensive Representation Enhancement in Semantics-Guided Self-supervised Monocular Depth Estimation
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    Chapter 19 AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture
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    Chapter 20 Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers
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    Chapter 21 GeoRefine: Self-supervised Online Depth Refinement for Accurate Dense Mapping
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    Chapter 22 Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion
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    Chapter 23 GitNet: Geometric Prior-Based Transformation for Birds-Eye-View Segmentation
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    Chapter 24 Learning Visibility for Robust Dense Human Body Estimation
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    Chapter 25 Towards High-Fidelity Single-View Holistic Reconstruction of Indoor Scenes
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    Chapter 27 SketchSampler: Sketch-Based 3D Reconstruction via View-Dependent Depth Sampling
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    Chapter 28 LocalBins: Improving Depth Estimation by Learning Local Distributions
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    Chapter 29 2D GANs Meet Unsupervised Single-View 3D Reconstruction
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    Chapter 30 InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images
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    Chapter 31 Semi-supervised Single-View 3D Reconstruction via Prototype Shape Priors
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    Chapter 32 Bilateral Normal Integration
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    Chapter 33 S $$^2$$ 2 Contact: Graph-Based Network for 3D Hand-Object Contact Estimation with Semi-supervised Learning
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    Chapter 34 SC-wLS: Towards Interpretable Feed-forward Camera Re-localization
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    Chapter 35 FloatingFusion: Depth from ToF and Image-stabilized Stereo Cameras
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    Chapter 36 DELTAR: Depth Estimation from a Light-Weight ToF Sensor and RGB Image
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    Chapter 37 3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform
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    Chapter 38 RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation
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    Chapter 39 Monocular 3D Object Reconstruction with GAN Inversion
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    Chapter 40 Map-Free Visual Relocalization: Metric Pose Relative to a Single Image
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    Chapter 41 Self-distilled Feature Aggregation for Self-supervised Monocular Depth Estimation
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    Chapter 42 Planes vs. Chairs: Category-Guided 3D Shape Learning Without any 3D Cues