Computer Vision – ECCV 2022 Workshops

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181,89 

Tel Aviv, Israel, October 23-27,2022, Proceedings, Part II, Lecture Notes in Computer Science 13802

ISBN: 3031250621
ISBN 13: 9783031250620
Herausgeber: Leonid Karlinsky/Tomer Michaeli/Ko Nishino
Verlag: Springer Verlag GmbH
Umfang: xxv, 765 S., 3 s/w Illustr., 269 farbige Illustr., 765 p. 272 illus., 269 illus. in color.
Erscheinungsdatum: 17.02.2023
Auflage: 1/2023
Produktform: Kartoniert
Einband: KT
Artikelnummer: 7671437 Kategorie:

Beschreibung

The 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022. The conference took place in Tel Aviv, Israel, during October 23-27, 2022; the workshops were held hybrid or online.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-Level Autonomous 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 RealWorld Surveillance: Applications and Challenges; W22 Affective Behavior Analysis IntheWild; 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 Aspects of 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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