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RT Book, Whole SR Electronic DC OPAC T1 Computer Vision – ECCV 2022 Workshops : Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part V / edited by Leonid Karlinsky, Tomer Michaeli, Ko Nishino T2 Lecture Notes in Computer Science. ISSN:16113349 A1 Karlinsky, Leonid A1 Michaeli, Tomer A1 Nishino, Ko A1 SpringerLink (Online service) YR 2023 FD 2023 SP XXVI, 774 p. 289 illus., 277 illus. in color K1 Computer vision K1 Pattern recognition systems K1 Machine learning K1 Computer engineering K1 Computer networks K1 User interfaces (Computer systems) K1 Human-computer interaction K1 Computers, Special purpose K1 Computer Vision K1 Automated Pattern Recognition K1 Machine Learning K1 Computer Engineering and Networks K1 User Interfaces and Human Computer Interaction K1 Special Purpose and Application-Based Systems ED 1st ed. 2023. PB Springer Nature Switzerland : Imprint: Springer PP Cham SN 9783031250729 LA English (英語) CL LCC:TA1634 CL DC23:006.37 NO 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 - 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 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. NO HTTP:URL=https://doi.org/10.1007/978-3-031-25072-9 NO 書誌ID=EB00000608; LK [E Book]https://doi.org/10.1007/978-3-031-25072-9 OL 30