Computer Vision, Imaging and Computer Graphics Theory and Applications

Computer Vision, Imaging and Computer Graphics Theory and Applications

16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8-10, 2021, Revised Selected Papers

Bouatouch, Kadi; Purchase, Helen; Farinella, Giovanni Maria; de Sousa, A. Augusto; Radeva, Petia; Peck, Tabitha; Paljic, Alexis; Hurter, Christophe; Havran, Vlastimil

Springer International Publishing AG

02/2023

367

Mole

Inglês

9783031254765

15 a 20 dias

599

Descrição não disponível.
?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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artificial intelligence;computer networks;computer systems;computer vision;databases;Human-Computer Interaction (HCI);image analysis;image processing;image quality;image reconstruction;image segmentation;machine learning;network protocols;object recognition;pattern recognition;signal processing;user interfaces