Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13803)
Included in the following conference series:
Conference proceedings info: ECCV 2022.
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About this book
The 367 full papers included in this volume set were carefully reviewed and selected for inclusion in the ECCV 2022 workshop proceedings. They were organized in individual parts as follows:
Part I: W01 - AI for Space; W02 - Vision for Art; W03 - Adversarial Robustness in the Real World; W04 - Autonomous Vehicle Vision
Part II: W05 - Learning With Limited and Imperfect Data; W06 - Advances in Image Manipulation;
Part III: W07 - Medical Computer Vision; W08 - Computer Vision for Metaverse; W09 - Self-Supervised Learning: What Is Next?;
Part IV: W10 - Self-Supervised Learning for Next-Generation Industry-LevelAutonomous Driving; W11 - ISIC Skin Image Analysis; W12 - Cross-Modal Human-Robot Interaction; W13 - Text in Everything; W14 - BioImage Computing; W15 - Visual Object-Oriented Learning Meets Interaction: Discovery, Representations, and Applications; W16 - AI for Creative Video Editing and Understanding; W17 - Visual Inductive Priors for Data-Efficient Deep Learning; W18 - Mobile Intelligent Photography and Imaging;
Part V: W19 - People Analysis: From Face, Body and Fashion to 3D Virtual Avatars; W20 - Safe Artificial Intelligence for Automated Driving; W21 - Real-World Surveillance: Applications and Challenges; W22 - Affective Behavior Analysis In-the-Wild;
Part VI: W23 - Visual Perception for Navigation in Human Environments: The JackRabbot Human Body Pose Dataset and Benchmark; W24 - Distributed Smart Cameras; W25 - Causality in Vision; W26 - In-Vehicle Sensing and Monitorization; W27 - Assistive Computer Vision and Robotics; W28 - Computational Aspectsof Deep Learning;
Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W30 - AI-Enabled Medical Image Analysis: Digital Pathology and Radiology/COVID19; W31 - Compositional and Multimodal Perception;
Part VIII: W32 - Uncertainty Quantification for Computer Vision; W33 - Recovering 6D Object Pose; W34 - Drawings and Abstract Imagery: Representation and Analysis; W35 - Sign Language Understanding; W36 - A Challenge for Out-of-Distribution Generalization in Computer Vision; W37 - Vision With Biased or Scarce Data; W38 - Visual Object Tracking Challenge.
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Keywords
- artificial intelligence
- computer networks
- computer vision
- deep learning
- education
- Human-Computer Interaction (HCI)
- image analysis
- image processing
- image quality
- image reconstruction
- image segmentation
- learning
- machine learning
- network protocols
- neural networks
- pattern recognition
- signal processing
- user interfaces
Table of contents (46 papers)
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W06 - Advances in Image Manipulation: Reports
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W07 - Medical Computer Vision
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Editors and Affiliations
Bibliographic Information
Book Title: Computer Vision – ECCV 2022 Workshops
Book Subtitle: Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part III
Editors: Leonid Karlinsky, Tomer Michaeli, Ko Nishino
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-25066-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-25065-1Published: 18 February 2023
eBook ISBN: 978-3-031-25066-8Published: 17 February 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXVII, 772
Number of Illustrations: 17 b/w illustrations, 314 illustrations in colour
Topics: Image Processing and Computer Vision, Computer Imaging, Vision, Pattern Recognition and Graphics, Machine Learning, Computer System Implementation, Computer Applications, Computers and Education