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Computer Vision – ECCV 2022 Workshops

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Cover of 'Computer Vision – ECCV 2022 Workshops'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
  27. Altmetric Badge
    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
  48. Altmetric Badge
    Chapter 47 SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms
Attention for Chapter 36: Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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Chapter title
Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles
Chapter number 36
Book title
Computer Vision – ECCV 2022 Workshops
Published in
arXiv, February 2023
DOI 10.1007/978-3-031-25056-9_36
Book ISBNs
978-3-03-125055-2, 978-3-03-125056-9
Authors

Adrian Holzbock, Nicolai Kern, Christian Waldschmidt, Klaus Dietmayer, Vasileios Belagiannis, Holzbock, Adrian, Kern, Nicolai, Waldschmidt, Christian, Dietmayer, Klaus, Belagiannis, Vasileios

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Engineering 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 February 2023.
All research outputs
#15,156,378
of 25,376,589 outputs
Outputs from arXiv
#239,488
of 1,035,523 outputs
Outputs of similar age
#187,581
of 419,835 outputs
Outputs of similar age from arXiv
#8,222
of 38,326 outputs
Altmetric has tracked 25,376,589 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,035,523 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 419,835 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 38,326 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.