Matthew J. Hoffman

Orcid: 0000-0002-9430-005X

Affiliations:
  • Rochester Institute of Technology, School of Mathematical Sciences / Center for Imaging Science, NY, USA


According to our database1, Matthew J. Hoffman authored at least 22 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Reconstructing Cardiac Electrical Excitations from Optical Mapping Recordings.
CoRR, 2023

Semantic Segmentation with Active Semi-Supervised Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022
SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery.
Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022

Essential Properties of a Multimodal Hypersonic Object Detection and Tracking System.
Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022

Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Semantic Segmentation with Active Semi-Supervised Representation Learning.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2020
AeroRIT: A New Scene for Hyperspectral Image Analysis.
IEEE Trans. Geosci. Remote. Sens., 2020

Fine-Tuning for One-Look Regression Vehicle Counting in Low-Shot Aerial Datasets.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Uncertainty Estimation for Semantic Segmentation of Hyperspectral Imagery.
Proceedings of the Dynamic Data Driven Applications Systems, 2020

Occlusion Detection for Dynamic Adaptation.
Proceedings of the Dynamic Data Driven Applications Systems, 2020

Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Tracking in Aerial Hyperspectral Videos Using Deep Kernelized Correlation Filters.
IEEE Trans. Geosci. Remote. Sens., 2019

A Low-Rate Video Approach to Hyperspectral Imaging of Dynamic Scenes.
J. Imaging, 2019

Hyperspectral Video Processing on Resource-Constrained Platforms.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

2017
Aerial Spectral Super-Resolution using Conditional Adversarial Networks.
CoRR, 2017

Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Integrating Hyperspectral Likelihoods in a Multidimensional Assignment Algorithm for Aerial Vehicle Tracking.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Real-Time Vehicle Tracking in Aerial Video Using Hyperspectral Features.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Spectral Validation of Measurements in a Vehicle Tracking DDDAS.
Proceedings of the International Conference on Computational Science, 2015

Efficient integration of spectral features for vehicle tracking utilizing an adaptive sensor.
Proceedings of the Video Surveillance and Transportation Imaging Applications 2015, 2015

2013
Feature Matching and Adaptive Prediction Models in an Object Tracking DDDAS.
Proceedings of the International Conference on Computational Science, 2013

2012
Adaptive Optical Sensing in an Object Tracking DDDAS.
Proceedings of the International Conference on Computational Science, 2012


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