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El. knyga: Computer Vision, Imaging and Computer Graphics Theory and Applications: 16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8-10, 2021, Revised Selected Papers

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Computer Vision, Imaging and Computer Graphics Theory and Applications: 16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8-10, 2021, Revised Selected PapersDidesnis paveikslėlis
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This book constitutes the refereed proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, held as a virtual event, February 8–10, 2021.

The 16 full papers presented in this volume were carefully reviewed and selected from 371 submissions. The purpose of VISIGRAPP is to bring together researchers and practitioners interested in both theoretical advances and applications of computer vision, computer graphics and information visualization. VISIGRAPP is composed of four co-located conferences, each specialized in at least one of the aforementioned main knowledge areas, namely GRAPP, IVAPP, HUCAPP and VISAPP. 

The contributions were organized in topical sections as follows: Computer Graphics Theory and Applications; Human Computer Interaction Theory and Applications; Information Visualization Theory and Applications; Computer Vision Theory and Applications.
Computer Graphics Theory and Applications.- Impact of Avatar
Representation in a Virtual Reality-based Multi-user Tunnel Fire Simulator
for Training Purposes.- Facade Layout Completion with Long Short-term Memory
Networks.- Human Computer Interaction Theory and Applications.- Generating
Haptic Sensations over Spherical Surface.- Effects of Emotion-Induction Words
on Memory and Pupillary Reactions while Viewing Visual Stimuli with Audio
Guide.- A Bimanual Flick-based Japanese Software Keyboard using Direct Kanji
Input.- Comparison of Cardiac Activity and Subjective Measures during Virtual
Reality and Real Aircraft Flight.- Information Visualization Theory and
Applications.- Improving Self-supervised Dimensionality Reduction: Exploring
Hyperparameters and Pseudo-labeling Strategies.- Visualization of Source Code
Similarity using 2.5D Semantic Software Maps.- Revisiting Order-Preserving,
Gap-Avoiding Rectangle Packing.- Exploratory Data Analysis of Population
Level Smartphone-sensed Data.- Towards Interactive Geovisualization Authoring
Toolkit for Industry Use Cases.- Computer Vision Theory and
Applications.- Global-fiirst Training Strategy with Convolutional Neural
Networks to Improve Scale Invariance.- Spline-based Dense Medial Descriptors
for Image Simplification using Saliency Maps.- BS-GAENets: Brain-spatial
Feature Learning Via a Graph Deep Autoencoder for Multi-modal Neuroimaging
Analysis.- Enhancing Backlight and Spotlight Images by the
Retinex-inspired Bilateral Filter SuPeR-B.- Rethinking RNN-based Video Object
Segmentation.
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