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E-raamat: Computer Vision, Imaging and Computer Graphics Theory and Applications: 19th International Joint Conference, VISIGRAPP 2024, Rome, Italy, February 27-29, 2024, Revised Selected Papers

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Computer Vision, Imaging and Computer Graphics Theory and Applications: 19th International Joint Conference, VISIGRAPP 2024, Rome, Italy, February 27-29, 2024, Revised Selected PapersSuurem pilt
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This book constitutes the revised selected papers of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics, VISIGRAPP 2024, held in Rome, Italy, during February 27–29, 2024.

The 26 revised papers presented were carefully selected from 431 submissions. The papers are categorized into the following topical sections: 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.
.- Non-Photorealistic Point Cloud Rendering via Per-Segment Image-Space Stylization and Transparency-Aware Compositing.
.- SAMPO: A Scenario Authoring Model for Virtual Reality with Pedagogical Objectives - An Authoring Perspective.
.- A Research on Game Experience Improvement by Changing Hit Stop Duration Based on Eye Tracking.
.- SIGnificant Outlier Removal.
.- Local Symmetry Polylines Construction and Their Use.
.- Real-Time Desertscapes Simulation with Reptation and Divergence-Free Wind Fields.
.- Human Computer Interaction Theory and Applications.
.- Investigating Desirable Properties of Inverse Projections and Decision Maps.
.- Applying Visual Storytelling Techniques to the Heritage of Nazi Persecution.
.- Information Visualization Theory and Applications.
.- Exploring User Preferences in Multimodal Human-Robot Interaction for the Human-Centered Design of an Assistant Robot.
.- Computer Vision Theory and Applications.
.- Advancing Precision in Multi-Point Cloud Fusion Environments.
.- Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis.
.- Change Penalized Tuning to Reduce Pre-Trained Biases.
.- Advanced Analysis of Pixel-Wise Gradient Uncertainty for Convolutional Neural Networks.
.- Self-Attention for Medical Imaging: On the Need for Evaluations Beyond Mere Benchmarking.
.- Enhancing Automotive Detection with High Precision Single Shot Object Detection.
.- Automatically Improving Marked-based Normalization for FLIM Networks.
.- Improving and Evaluating the Corruption Robustness of Image Classifiers Using Random p-norm Noise.
.- Enhancing Audio-Visual Learning: Cross-Modal Adaptation of Vision Transformers.
.- Advancements in Vector Graphics Generation for Music Cover Art.
.- Object Attention for Image Generation from Hyper Scene Graphs with Trinomial Hyperedges.
.- Transferring Watermarks from Training to AI-Generated Fingerprint Images.
.- A Real-Time 3D Hand-Object Pose Estimation Using Cross Model Attention Injection Network.
.- Integrating Edge and Pencil Sketch Information for Enhanced Image Inpainting with Vision Transformers.
.- ConDL: Detector-Free Dense Image Matching.
.- Low-Light Image Enhancement for Improving Image Recognition Performance.
.- Evaluating Architecture and Encoder Combinations for Cloud Segmentation in Satellite Images.

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