Computer Vision - ACCV 2018 Workshops [electronic resource] : 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers / edited by Gustavo Carneiro, Shaodi You.
Contributor(s): Carneiro, Gustavo [editor.] | You, Shaodi [editor.] | SpringerLink (Online service).
Material type: BookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 11367Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XV, 541 p. 260 illus., 230 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030210748.Subject(s): Computer vision | Artificial intelligence | Computer engineering | Computer networks | Computers | Computer Vision | Artificial Intelligence | Computer Engineering and Networks | Computer HardwareAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.37 Online resources: Click here to access onlineScene Understanding and Modelling (SUMO) Challenge -- Learning and Inference Methods for High Performance Imaging (LIMHPI) -- Attention/Intention Understanding (AIU) -- Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning -- RGB-D - Sensing and Understanding via Combined Colour and Depth -- Dense 3D Reconstruction for Dynamic Scenes -- AI Aesthetics in Art and Media (AIAM) -- Robust Reading (IWRR), Artificial Intelligence for Retinal Image Analysis (AIRIA) -- Combining Vision and Language, Advanced Machine Vision for Real-life and Industrially Relevant Applications (AMV).
This LNCS workshop proceedings, ACCV 2018, contains carefully reviewed and selected papers from 11 workshops, each having different types or programs: Scene Understanding and Modelling (SUMO) Challenge, Learning and Inference Methods for High Performance Imaging (LIMHPI), Attention/Intention Understanding (AIU), Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning, RGB-D - Sensing and Understanding via Combined Colour and Depth, Dense 3D Reconstruction for Dynamic Scenes, AI Aesthetics in Art and Media (AIAM), Robust Reading (IWRR), Artificial Intelligence for Retinal Image Analysis (AIRIA), Combining Vision and Language, Advanced Machine Vision for Real-life and Industrially Relevant Applications (AMV).
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