Computer Vision, Imaging and Computer Graphics Theory and Applications
portes grátis
Computer Vision, Imaging and Computer Graphics Theory and Applications
19th International Joint Conference, VISIGRAPP 2024, Rome, Italy, February 27-29, 2024, Revised Selected Papers
Radeva, Petia; Bouatouch, Kadi; Bashford-Rogers, Thomas; Ammi, Mehdi; Meneveaux, Daniel; Jaenicke, Stefan; Ziat, Mounia; Purchase, Helen; Furnari, Antonino; de Sousa, A. Augusto
Springer Nature Switzerland AG
02/2026
494
Mole
Inglês
9783032076229
15 a 20 dias
Descrição não disponível.
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.
.- 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Deep Learning for Visual Understanding;Machine Learning Technologies for Vision;Features Extraction;Object Detection and Localization;Image Enhancement and Restoration;Segmentation and Grouping;Transfer Learning;Color and Texture Analyses;Vision for Robotics;Generative AI;Assistive Computer Vision;3D Deep Learning;Medical Image Applications;Categorization and Scene Understanding;Domain Adaptation;Event and Human Activity Recognition;Image Formation;Acquisition Devices and Sensors;Human and Computer Interaction;Image-Based Modeling and 3D Reconstruction
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.
.- 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Deep Learning for Visual Understanding;Machine Learning Technologies for Vision;Features Extraction;Object Detection and Localization;Image Enhancement and Restoration;Segmentation and Grouping;Transfer Learning;Color and Texture Analyses;Vision for Robotics;Generative AI;Assistive Computer Vision;3D Deep Learning;Medical Image Applications;Categorization and Scene Understanding;Domain Adaptation;Event and Human Activity Recognition;Image Formation;Acquisition Devices and Sensors;Human and Computer Interaction;Image-Based Modeling and 3D Reconstruction
