ST: Biomedical Image Analysis Techniques for Cancer Detection, Diagnosis and Management
Hybrid Region and Pixel-Level Adaptive Loss for Mass Segmentation on Whole Mammography Images
Deep Learning Based GABA Edited-MRS Signal Reconstruction
Investigating the Impact of Attention on Mammogram Classification
ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical Images
A Data-centric Approach for Pectoral Muscle Deep Learning Segmentation Enhancements in Mammography Images
Visualization
Visualizing Multimodal Time Series at Scale
Hybrid Tree Visualizations for Analysis of Gerrymandering
ArcheryVis: A Tool for Analyzing and Visualizing Archery Performance Data
Spiro: Order-preserving Visualization in High Performance Computing Monitoring
From Faces To Volumes - Measuring Volumetric Asymmetry in 3D Facial Palsy Scans
Video Analysis and Event Recognition
Comparison of Autoencoder Models for Unsupervised Representation Learning of Skeleton Sequences
Local and Global Context Reasoning for Spatio-Temporal Action Localization
Zero-Shot Video Moment Retrieval using BLIP-based Models
Self-Supervised Representation Learning for Fine Grained Human Hand Action Recognition in Industrial Assembly Lines
ST: Innovations in Computer Vision & Machine Learning for Critical & Civil Infrastructures
Pretext Tasks in Bridge Defect Segmentation within a ViT-Adapter Framework
A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation
Efficient Resource Provisioning in Critical Infrastructures based on Multi-Agent Rollout enabled by Deep Q-Learning
Video-Based Recognition of Aquatic Invasive Species Larvae Using Attention-LSTM Transformer
ST: Generalization in Visual 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. .