Table of Contents

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   Book Overview
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   Chapter 1 Characterizing the Role of a Single Coupling Layer in Affine Normalizing Flows
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   Chapter 2 Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations
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   Chapter 3 Bias Detection and Prediction of Mapping Errors in Camera Calibration
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   Chapter 4 Learning to Identify Physical Parameters from Video Using Differentiable Physics
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   Chapter 5 Assignment Flow for Order-Constrained OCT Segmentation
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   Chapter 6 Boosting Generalization in Bio-signal Classification by Learning the Phase-Amplitude Coupling
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   Chapter 7 Long-Tailed Recognition Using Class-Balanced Experts
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   Chapter 8 Analyzing the Dependency of ConvNets on Spatial Information
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    Chapter 9 Learning Monocular 3D Vehicle Detection Without 3D Bounding Box Labels
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    Chapter 10 Observer Dependent Lossy Image Compression
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    Chapter 11 Adversarial Synthesis of Human Pose from Text
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    Chapter 12 Long-Term Anticipation of Activities with Cycle Consistency
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    Chapter 13 Multi-stage Fusion for One-Click Segmentation
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    Chapter 14 Neural Architecture Performance Prediction Using Graph Neural Networks
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    Chapter 15 Discovering Latent Classes for Semi-supervised Semantic Segmentation
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    Chapter 16 Riemannian SOS-Polynomial Normalizing Flows
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    Chapter 17 Automated Water Segmentation and River Level Detection on Camera Images Using Transfer Learning
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    Chapter 18 Does SGD Implicitly Optimize for Smoothness?
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    Chapter 19 Looking Outside the Box: The Role of Context in Random Forest Based Semantic Segmentation of PolSAR Images
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    Chapter 20 Haar Wavelet Based Block Autoregressive Flows for Trajectories
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    Chapter 21 Center3D: Center-Based Monocular 3D Object Detection with Joint Depth Understanding
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    Chapter 22 Constellation Codebooks for Reliable Vehicle Localization
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    Chapter 23 Towards Bounding-Box Free Panoptic Segmentation
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    Chapter 24 Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks
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    Chapter 25 Unsupervised Part Discovery by Unsupervised Disentanglement
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    Chapter 26 On the Lifted Multicut Polytope for Trees
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    Chapter 27 Conditional Invertible Neural Networks for Diverse Image-to-Image Translation
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    Chapter 28 Image Inpainting with Learnable Feature Imputation
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    Chapter 29 4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving
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    Chapter 30 Inline Double Layer Depth Estimation with Transparent Materials
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    Chapter 31 A Differentiable Convolutional Distance Transform Layer for Improved Image Segmentation
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    Chapter 33 Self-supervised Disentanglement of Modality-Specific and Shared Factors Improves Multimodal Generative Models
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    Chapter 34 Multimodal Semantic Forecasting Based on Conditional Generation of Future Features