Image Analysis and Processing. ICIAP 2022 Workshops

Shape Parameters.- Recognition of complex gestures for real-time emoji assignment.- Generating High-Resolution 3D Faces using VQ-VAE-2 with PixelSNAIL Networks.- Artificial Intelligence for Digital Humanities - AI4DH.- The Morra Game: Developing an Automatic Gesture Recognition System to Interface Human and Artificial Players.- Integration of point clouds from 360° videos and deep learning techniques for rapid documentation and classification in historical city centers.- Towards the creation of AI-powered queries using Transfer Learning on NLP model - the THESPIAN-NER experience.- Detecting Fake News in MANET Messaging Using an Ensemble Based Computational Social System.- PergaNet: a deep learning framework for automatic appearance-based analysis of ancient parchment collections.- Transformers with YOLO network for damage detection in limestone wall images.- Medical Transformers - MEDXF.- On the Effectiveness of 3DVision Transformers for the Prediction of Prostate Cancer Aggressiveness.- Exploring a Transformer approach for Pigment Signs segmentation in Fundus Images.- Transformer based GANs for Medical Image Segmentationes.- Learning in Precision Livestock Farming - LPLF.- Suggestions for the environmental sustainability from Precision Livestock Farming and replacement in dairy cows.- Intelligent Video Surveillance For Animal Behavior Monitoring.- Quick Quality Analysis On Cereals, Pulses and Grains Using Artificial Intelligence.- Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification .- Workshop on Small-Drone Surveillance, Detection and Counteraction Techniques - WOSDETC.- DroBoost: An Intelligent Score and Model Boosting Method for Drone Detection.- Drone-vs-Bird Detection Challenge at ICIAP 2021.- An Image-based Classification Module for Data Fusion Anti-Drone System.- Evaluation of Fully Convolutional One-Stage Object Detection for Drone Detection.- Drone Surveillance using Detection, Tracking and Classification Techniques.- Medical Imaging Analysis For Covid-19 - MIACOVID 2022.- ILC-Unet++ for Covid-19 Infection Segmentation.- Revitalizing regression tasks through modern training procedures: applications in medical image analysis for Covid-19 infection percentage estimation.- Res-Dense Net for 3D Covid Chest CT-scan classification.- Deep Regression by Feature Regularization for COVID-19 Severity Prediction.- Mixup Data Augmentation for COVID-19 Infection Percentage Estimation.- Swin Transformer for COVID-19 Infection Percentage Estimation from CT-Scans.- COVID-19 Infection Percentage Prediction via Boosted Hierarchical Vision Transformer.- Novel Benchmarks and Approaches for Real-World Continual Learning - CL4REAL.- Catastrophic Forgetting in Continual Concept Bottleneck Models.- Practical Recommendations for Replay-based Continual Learning Methods.