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Computer Vision – ECCV 2022 Workshops

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Cover of 'Computer Vision – ECCV 2022 Workshops'

Table of Contents

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    Book Overview
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    Chapter 1 Globally Optimal Event-Based Divergence Estimation for Ventral Landing
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    Chapter 2 Transfer Learning for On-Orbit Ship Segmentation
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    Chapter 3 Spacecraft Pose Estimation Based on Unsupervised Domain Adaptation and on a 3D-Guided Loss Combination
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    Chapter 4 MaRF: Representing Mars as Neural Radiance Fields
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    Chapter 5 Asynchronous Kalman Filter for Event-Based Star Tracking
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    Chapter 6 Using Moffat Profiles to Register Astronomical Images
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    Chapter 7 Mixed-Domain Training Improves Multi-mission Terrain Segmentation
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    Chapter 8 CubeSat-CDT: A Cross-Domain Dataset for 6-DoF Trajectory Estimation of a Symmetric Spacecraft
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    Chapter 9 Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications
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    Chapter 10 Strong Gravitational Lensing Parameter Estimation with Vision Transformer
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    Chapter 11 End-to-end Neural Estimation of Spacecraft Pose with Intermediate Detection of Keypoints
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    Chapter 12 Improving Contrastive Learning on Visually Homogeneous Mars Rover Images
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    Chapter 13 Monocular 6-DoF Pose Estimation for Non-cooperative Spacecrafts Using Riemannian Regression Network
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    Chapter 14 HyperNST: Hyper-Networks for Neural Style Transfer
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    Chapter 15 DEArt: Dataset of European Art
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    Chapter 16 How Well Do Vision Transformers (VTs) Transfer to the Non-natural Image Domain? An Empirical Study Involving Art Classification
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    Chapter 17 On-the-Go Reflectance Transformation Imaging with Ordinary Smartphones
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    Chapter 18 Is GPT-3 All You Need for Visual Question Answering in Cultural Heritage?
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    Chapter 19 Automatic Analysis of Human Body Representations in Western Art
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    Chapter 20 ArtFacePoints: High-Resolution Facial Landmark Detection in Paintings and Prints
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    Chapter 21 TransPatch: A Transformer-based Generator for Accelerating Transferable Patch Generation in Adversarial Attacks Against Object Detection Models
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    Chapter 22 Feature-Level Augmentation to Improve Robustness of Deep Neural Networks to Affine Transformations
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    Chapter 23 Benchmarking Robustness Beyond $$l_p$$ l p Norm Adversaries
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    Chapter 24 Masked Faces with Faced Masks
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    Chapter 25 Adversarially Robust Panoptic Segmentation (ARPaS) Benchmark
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    Chapter 26 BadDet: Backdoor Attacks on Object Detection
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    Chapter 27 Universal, Transferable Adversarial Perturbations for Visual Object Trackers
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    Chapter 28 Why Is the Video Analytics Accuracy Fluctuating, and What Can We Do About It?
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    Chapter 29 SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning
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    Chapter 30 Unrestricted Black-Box Adversarial Attack Using GAN with Limited Queries
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    Chapter 31 Truth-Table Net: A New Convolutional Architecture Encodable by Design into SAT Formulas
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    Chapter 32 Attribution-Based Confidence Metric for Detection of Adversarial Attacks on Breast Histopathological Images
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    Chapter 33 Improving Adversarial Robustness by Penalizing Natural Accuracy
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    Chapter 34 4D-StOP: Panoptic Segmentation of 4D LiDAR Using Spatio-Temporal Object Proposal Generation and Aggregation
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    Chapter 35 BlindSpotNet: Seeing Where We Cannot See
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    Chapter 36 Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles
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    Chapter 37 An Improved Lightweight Network Based on YOLOv5s for Object Detection in Autonomous Driving
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    Chapter 38 Plausibility Verification for 3D Object Detectors Using Energy-Based Optimization
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    Chapter 39 Lane Change Classification and Prediction with Action Recognition Networks
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    Chapter 40 Joint Prediction of Amodal and Visible Semantic Segmentation for Automated Driving
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    Chapter 41 Human-Vehicle Cooperative Visual Perception for Autonomous Driving Under Complex Traffic Environments
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    Chapter 42 MCIP: Multi-Stream Network for Pedestrian Crossing Intention Prediction
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    Chapter 43 SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking
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    Chapter 44 Ego-Motion Compensation of Range-Beam-Doppler Radar Data for Object Detection
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    Chapter 45 RPR-Net: A Point Cloud-Based Rotation-Aware Large Scale Place Recognition Network
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    Chapter 46 Learning 3D Semantics From Pose-Noisy 2D Images with Hierarchical Full Attention Network
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    Chapter 47 SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms
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Title
Computer Vision – ECCV 2022 Workshops
Published by
Springer Nature Switzerland, March 2023
DOI 10.1007/978-3-031-25056-9
ISBNs
978-3-03-125055-2, 978-3-03-125056-9
Editors

Karlinsky, Leonid, Michaeli, Tomer, Nishino, Ko

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