Adaptive Optical Sensing in an Object Tracking DDDAS. - Anthony Vodacek; John P. Kerekes; Matthew J. Hoffman 001 (ICCS, 2012)

Feature Matching and Adaptive Prediction Models in an Object Tracking DDDAS. - Burak Uzkent; Matthew J. Hoffman 001; Anthony Vodacek; John P. Kerekes; Bin Chen (ICCS, 2013)

Efficient integration of spectral features for vehicle tracking utilizing an adaptive sensor. - Burak Uzkent; Matthew J. Hoffman 001; Anthony Vodacek (Video Surveillance and Transportation Imaging Applications, 2015)

Spectral Validation of Measurements in a Vehicle Tracking DDDAS. - Burak Uzkent; Matthew J. Hoffman 001; Anthony Vodacek (ICCS, 2015)

Real-Time Vehicle Tracking in Aerial Video Using Hyperspectral Features. - Burak Uzkent; Matthew J. Hoffman 001; Anthony Vodacek (CVPR Workshops, 2016)

Integrating Hyperspectral Likelihoods in a Multidimensional Assignment Algorithm for Aerial Vehicle Tracking. - Burak Uzkent; Matthew J. Hoffman 001; Anthony Vodacek (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps. - Burak Uzkent; Aneesh Rangnekar; Matthew J. Hoffman 001 (CVPR Workshops, 2017)

Aerial Spectral Super-Resolution using Conditional Adversarial Networks. - Aneesh Rangnekar; Nilay Mokashi; Emmett J. Ientilucci; Christopher Kanan; Matthew J. Hoffman 001 (CoRR, 2017)

Hyperspectral Video Processing on Resource-Constrained Platforms. - Honglei Li 005; Lei Pan 005; Eung-Joo Lee; Zhu Li 001; Matthew J. Hoffman 001; Anthony Vodacek; Shuvra S. Bhattacharyya (WHISPERS, 2019)

A Low-Rate Video Approach to Hyperspectral Imaging of Dynamic Scenes. - Charles M. Bachmann; Rehman S. Eon; Christopher S. Lapszynski; Gregory P. Badura; Anthony Vodacek; Matthew J. Hoffman 001; Donald McKeown; Robert L. Kremens; Michael Richardson; Timothy D. Bauch; Mark Foote (J. Imaging, 2019)

Tracking in Aerial Hyperspectral Videos Using Deep Kernelized Correlation Filters. - Burak Uzkent; Aneesh Rangnekar; Matthew J. Hoffman 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery. - Zachary Mulhollan; Aneesh Rangnekar; Timothy D. Bauch; Matthew J. Hoffman 001; Anthony Vodacek (CVPR Workshops, 2020)

Occlusion Detection for Dynamic Adaptation. - Zachary Mulhollan; Aneesh Rangnekar; Anthony Vodacek; Matthew J. Hoffman 001 (DDDAS, 2020)

Uncertainty Estimation for Semantic Segmentation of Hyperspectral Imagery. - Aneesh Rangnekar; Emmett J. Ientilucci; Christopher Kanan; Matthew J. Hoffman 001 (DDDAS, 2020)

Fine-Tuning for One-Look Regression Vehicle Counting in Low-Shot Aerial Datasets. - Aneesh Rangnekar; Yi Yao; Matthew J. Hoffman 001; Ajay Divakaran (ICPR Workshops (8), 2020)

AeroRIT: A New Scene for Hyperspectral Image Analysis. - Aneesh Rangnekar; Nilay Mokashi; Emmett J. Ientilucci; Christopher Kanan; Matthew J. Hoffman 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Semantic Segmentation with Active Semi-Supervised Representation Learning. - Aneesh Rangnekar; Christopher Kanan; Matthew J. Hoffman 001 (BMVC, 2022)

Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022. - Aneesh Rangnekar; Zachary Mulhollan; Anthony Vodacek; Matthew J. Hoffman 001; Ángel D. Sappa; Erik Blasch; Jun Yu 001; Liwen Zhang; Shenshen Du; Hao Chang; Keda Lu; Zhong Zhang; et al. (CVPR Workshops, 2022)

Essential Properties of a Multimodal Hypersonic Object Detection and Tracking System. - Zachary Mulhollan; Marco Gamarra; Anthony Vodacek; Matthew J. Hoffman 001 (DDDAS, 2022)

SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery. - Aneesh Rangnekar; Emmett J. Ientilucci; Christopher Kanan; Matthew J. Hoffman 001 (DDDAS, 2022)

Semantic Segmentation with Active Semi-Supervised Learning. - Aneesh Rangnekar; Christopher Kanan; Matthew J. Hoffman 001 (WACV, 2023)

Reconstructing Cardiac Electrical Excitations from Optical Mapping Recordings. - Christopher D. Marcotte; Matthew J. Hoffman 001; Flavio H. Fenton; Elizabeth M. Cherry (CoRR, 2023)