Recent Research Topics
- Joint Measured and Synthetic Data Training for CNN-Based SAR Target Classifier
- Deep Learning Model-based Algorithm for SAR ATR
- High-Performance Multi-Agent Based CNN Systems for SAR Feature Extraction
- Toward morGAN: Modern Object Recognition using GANs
- Siamese and Triplet Networks for Measuring Quality of Synthetic SAR Data
- One Shot Learning using Siamese Neural Networks
- GANs for EO Illumination
- Generative Adversarial Networks to Close SAR Synthetic/Measurement Gap
- BicycleGAN for Improving Synthetic SAR Data
- Convolutional Sparse Representations of 3D LADAR Data for Robust Classification
- Sparsity-Based SAR ATR: A Preliminary Study
- Sparsity-based Interferometric SAR
- Back Projection to 3D Probabalistic Electro Optic Model
- SAR ATR Performance Validation of Synthetic and Measured data
- Score Estimation of Klander Data using Boosting Algorithms
- Articulating CAD Models
- Generating a Hybrid and Fused Scale Model, Measured, and Synthetic Data Set
- Target Recognition of CAD Model Fidelity
- Material Characterization in the Microwave Spectrum
- Model-in-the-Loop Waveform Optimization for Amplifiers
- Cognitive Radar Algorithms for Waveform Parameter Adaptation using Software-Defined Radar
- Multi-Waveform STAP with Embedded Communications
- Narrowband Imaging of Rotating Objects
- Using LMS to Process Passive Noise Radar Data
- Cramer-Rao Bounds for Direction Finding
- Statistical Based Frequency Hopping Pattern Detection
- Neural Net Feature Space Enhancement for Open Set Classification
- Reinforcement Learning and Generalization in Unknown Environments
- Simulation of Detection with Distributed Infrasonic Sensors
- Bistatic SAR Integration and Experimentation in EW Simulation
- Small UAV Vulnerability Study
- Goal-Driven Cognitive Algorithmic Processing for EW
- Environment-Robust LWIR Hyperspectral Change Detection
- Hyperspectral Image Creation using GANs
- SensorCraft
- Robust Recognition for 3D LADAR
- Extracting Anomolous Patterns from Movement Data
- Spectral Clustering for Directed Graphs
- Ledoit-Wolf covariance estimation for STAP
- Machine Learning Models for Transfer Learning Applications
- Manifold Transfer Learning and Deep Network Fine-Tuning for EO Satellite Images
- Capsules vs. ConvNets
- Temporal Event Detection
- Multi-Task Semantic Video Captioning in the Wild & Attacks Against Model-based Text Transcription
- Ground Truthing and Exploiting WAMI
- GAN-based Superresolution of Aircraft Satellite Images
- Signal Modeling and Optimal Partitioning
- Gaussian Mixture Models for DeepNav
- DeepFilter: Integrating sequential outputs of deep networks
- Scalability of DeepNav
- Capsule Networks, Deepnav
- Improvements for SLAM Benchmarking
- Feasibility Study of Eye Gaze Assisted EO Truthing
- Practical particle filter sampling using an observation estimate
- α-KS Goodness of Fit for Interacting Multiple Model Testing
- Conservative PDFs and Data Fusion Applications
- Verifying the Uncertainty of PoseNet Outputs
- Simultaneous Localization and Mapping in Mobile Robots
- Multisensor Fusion Data Collection System
- Automatic Covariance Calibration of Uncharacterized Sensor for Multisensor/Multitarget Tracking and Fusion
- Model-Assisted Multi-Target Tracking with Simultaneous Sensor Calibration
- Learning and Evaluating Deep Features for Data Association
- Contextual Refinement for Semantic Image Segmentation
- Probabilistic Reasoning for Decision and Control of UAVs
- Probabilistic Reasoning with SNNs and the NEF
- Biological Systems and Their Application in Robotics
- Complex Algorithm Assessment on Reconfigurable Devices
- Integration of ROS with the TurtleBot 2
- Detecting and Analyzing Anomalies with Topological Data Analysis
- Comparing Multiple Synthetic Predictors
- Efficient J2K Image Compression for Low SWaP Devices
- Real Time Kinematic GNSS Receiver Network
- Spatial Heterodyne Imaging systems
