001454722 000__ 04548cam\a2200517\i\4500
001454722 001__ 1454722
001454722 003__ OCoLC
001454722 005__ 20230314003225.0
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001454722 008__ 230220s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001454722 020__ $$a9783031250637$$q(electronic bk.)
001454722 020__ $$a303125063X$$q(electronic bk.)
001454722 020__ $$z9783031250620
001454722 0247_ $$a10.1007/978-3-031-25063-7$$2doi
001454722 035__ $$aSP(OCoLC)1370619568
001454722 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX
001454722 049__ $$aISEA
001454722 050_4 $$aTA1634
001454722 08204 $$a006.3/7$$223/eng/20230220
001454722 1112_ $$aEuropean Conference on Computer Vision$$n(17th :$$d2022 :$$cTel Aviv, Israel)
001454722 24510 $$aComputer vision -- ECCV 2022 Workshops :$$bTel Aviv, Israel, October 23-27, 2022, Proceedings.$$nPart II /$$cLeonid Karlinsky, Tomer Michaeli, Ko Nishino (eds.).
001454722 2463_ $$aECCV 2022
001454722 264_1 $$aCham :$$bSpringer,$$c2023.
001454722 300__ $$a1 online resource (xxv, 765 pages) :$$billustrations (some color).
001454722 336__ $$atext$$btxt$$2rdacontent
001454722 337__ $$acomputer$$bc$$2rdamedia
001454722 338__ $$aonline resource$$bcr$$2rdacarrier
001454722 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v13802
001454722 500__ $$aIncludes author index.
001454722 506__ $$aAccess limited to authorized users.
001454722 520__ $$aThe 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.
001454722 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 20, 2023).
001454722 650_0 $$aComputer vision$$vCongresses.
001454722 650_0 $$aPattern recognition systems$$vCongresses.
001454722 655_0 $$aElectronic books.
001454722 7001_ $$aKarlinsky, Leonid,$$eeditor.
001454722 7001_ $$aMichaeli, Tomer,$$eeditor.$$0(orcid)0000-0003-0525-8054$$1https://orcid.org/0000-0003-0525-8054
001454722 7001_ $$aNishino, Ko,$$eeditor.$$1https://orcid.org/0000-0002-3534-3447
001454722 830_0 $$aLecture notes in computer science ;$$v13802.$$x1611-3349
001454722 852__ $$bebk
001454722 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-25063-7$$zOnline Access$$91397441.1
001454722 909CO $$ooai:library.usi.edu:1454722$$pGLOBAL_SET
001454722 980__ $$aBIB
001454722 980__ $$aEBOOK
001454722 982__ $$aEbook
001454722 983__ $$aOnline
001454722 994__ $$a92$$bISE