Advances in Visual Computing

ST: Generalization inVisual Machine Learning.- Latent Space Navigation for Face Privacy: A Case Study on the MNIST Dataset.- Domain Generalization for Foreground Segmentation Using Federated Learning.- Probabilistic Local Equivalence Certification for Robustness Evaluation.- Challenges of Depth Estimation for Transparent Objects.- Volumetric Body Composition through Cross-Domain Consistency Training for Unsupervised Domain Adaptation.- Computer Graphics.- Water Animation Using Coupled SPH and Wave Equation.- Neural Rendering into Unity.- Virtual Home Staging: Inverse Rendering and Editing an Indoor Panorama under Natural Illumination.- SwarmCurves: Evolutionary Curve Reconstruction.- Medical Image Analysis.- Brain Cortical Surface Registration with Anatomical Atlas Constraints.- When System Model meets Image Prior: An Unsupervised Deep Learning Architecture for Accelerated Magnetic Resonance Imaging.- 3D Reconstruction from 2D Cerebral Angiograms as a Volumetric Denoising Problem.- An Integrated Shape-Texture Descriptor for Modeling Whole-Organism Phenotypes in Drug Screening.- Enhancing Image Reconstruction via Phase-Constrained Data in an Iterative Process.- Biometrics.- I Got Your Emotion: Emotion Preserving Face De-identification Using Injection-based Generative Adversarial Networks.- DoppelVer: A Benchmark for Face Verification.- Two-stage Face Detection and Anti-spoofing.- Autonomous Anomaly Detection in Images.- Driver Anomaly Detection Using Skeleton Images.- Driver Anomaly Detection Using Skeleton Images.- Latent Diffusion based Multi-class Anomaly Detection.- ST: Artificial Intelligence in Aerial and Orbital Imagery.- Investigating the impact of a low-rank tensor-based approach on deforestation imagery.- Strategic Incorporation of Synthetic Data for Performance Enhancement in Deep Learning A Case Study on Object Tracking Tasks.- Autonomous Navigation Via A Cascading CNN Framework Leveraging Synthetic Terrain Images.- ST: Data Gathering, Curation, and Generation for Computer Vision and Robotics in Precision Agriculture.- Synthetically labeled images for maize plant detection in UAS images.- An open source simulation toolbox for annotation of images and point clouds in agricultural scenarios.- Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms.- Identification of Abnormality in Maize Plants From UAV Images Using Deep Learning Approaches.- Deep Learning for Super Resolution of Sugarcane Crop Line Imagery from Unmanned Aerial Vehicles.