Computer Vision – ACCV 2018 Workshops: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers
Author:   Gustavo Carneiro ,  Shaodi You ,  Greg Mori ,  Konrad Schindler
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11367
ISBN:  

9783030210731


Pages:   541
Publication Date:   19 June 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Computer Vision – ACCV 2018 Workshops: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers


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Overview

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).

Full Product Details

Author:   Gustavo Carneiro ,  Shaodi You ,  Greg Mori ,  Konrad Schindler
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11367
Weight:   0.848kg
ISBN:  

9783030210731


ISBN 10:   3030210731
Pages:   541
Publication Date:   19 June 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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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