000			03990nam a2200409Ia 4500
000			04433nam a22004215i 4500
001			978-3-031-25075-0
003			DE-He213
005			20240319121129.0
007			cr nn 008mamaa
008			230218s2023 sz | s |||| 0|eng d
020			_a9783031250750 _9978-3-031-25075-0
082			_a6.37
245			_aComputer Vision - ECCV 2022 Workshops _cedited by Leonid Karlinsky, Tomer Michaeli, Ko Nishino. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer Nature Switzerland _c2023
300			_aXXVI, 783 p. 275 illus., 266 illus. in color. _bonline resource.
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. .
650			_aAutomated Pattern Recognition. _938933
650			_aComputer Application in Social and Behavioral Sciences. _938934
650			_aComputer Communication Networks. _938935
650			_aComputer networks . _938936
650			_aComputer vision. _938937
650			_aComputer Vision. _938938
650			_aHuman-computer interaction. _938939
650			_aMachine learning. _938940
650			_aMachine Learning. _938941
650			_aPattern recognition systems. _938942
650			_aSocial sciences _938943
650			_aUser interfaces (Computer systems). _938944
650			_aUser Interfaces and Human Computer Interaction. _938945
700			_aKarlinsky, Leonid. _938946
700			_aMichaeli, Tomer. _938947
700			_aNishino, Ko. _938948
856			_uhttps://doi.org/10.1007/978-3-031-25075-0
942			_cEBK _2ddc
999			_c15830 _d15830