Computer Vision, Imaging and Computer Graphics 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.