Computer Vision - ACCV 2018 Workshops
14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers
Published on 18. June 2019
XV, 541 pages
978-3-030-21074-8 (ISBN)
Description
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).
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
Reflowable
Illustrations
XV, 541 p. 260 illus., 230 illus. in color.
File size
83,64 MB
ISBN-13
978-3-030-21074-8 (9783030210748)
DOI
10.1007/978-3-030-21074-8
Schweitzer Classification
Other editions
Additional editions
Gustavo Carneiro | Shaodi You
Computer Vision - ACCV 2018 Workshops
14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers
Book
06/2019
Springer
€87.73
Shipment within 7-9 days
Content
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).
