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ORCIDMatthew J. Hoffman 0001
Person information
- affiliation: Rochester Institute of Technology, School of Mathematical Sciences / Center for Imaging Science, NY, USA
Other persons with the same name
- Matthew J. Hoffman 0002 — Sandia National Laboratories, Albuquerque, NM, USA
- Matthew J. Hoffman 0003 — Medical College of Wisconsin, Department of Physiology, Milwaukee, WI, USA
- Matthew J. Hoffman 0004
![[0000-0001-5076-0540]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5076-0540")
— Los Alamos National Laboratory, Fluid Dynamics and Solid Mechanics Group, Los Alamos, NM, USA
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2020 – today
- 2023
[c16]Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman:
Semantic Segmentation with Active Semi-Supervised Learning. WACV 2023: 5955-5966- [i7]Christopher D. Marcotte, Matthew J. Hoffman, Flavio H. Fenton, Elizabeth M. Cherry:
Reconstructing Cardiac Electrical Excitations from Optical Mapping Recordings. CoRR abs/2305.00009 (2023) - 2022
- [c15]Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman:
Semantic Segmentation with Active Semi-Supervised Representation Learning. BMVC 2022: 229 - [c14]Aneesh Rangnekar, Zachary Mulhollan, Anthony Vodacek, Matthew J. Hoffman, Ángel D. Sappa, Erik Blasch, Jun Yu, Liwen Zhang, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Fang Gao, Ye Yu, Feng Shuang, Lei Wang, Qiang Ling, Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim:
Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022. CVPR Workshops 2022: 389-397 - [c13]Zachary Mulhollan, Marco Gamarra, Anthony Vodacek, Matthew J. Hoffman:
Essential Properties of a Multimodal Hypersonic Object Detection and Tracking System. DDDAS 2022: 27-34 - [c12]Aneesh Rangnekar, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery. DDDAS 2022: 196-204 - [i6]Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman:
Semantic Segmentation with Active Semi-Supervised Learning. CoRR abs/2203.10730 (2022) - [i5]Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman:
Semantic Segmentation with Active Semi-Supervised Representation Learning. CoRR abs/2210.08403 (2022) - 2020
- [j4]Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
AeroRIT: A New Scene for Hyperspectral Image Analysis. IEEE Trans. Geosci. Remote. Sens. 58(11): 8116-8124 (2020) - [c11]Zachary Mulhollan, Aneesh Rangnekar, Timothy D. Bauch, Matthew J. Hoffman, Anthony Vodacek:
Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery. CVPR Workshops 2020: 498-506 - [c10]Aneesh Rangnekar, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
Uncertainty Estimation for Semantic Segmentation of Hyperspectral Imagery. DDDAS 2020: 163-170 - [c9]Zachary Mulhollan, Aneesh Rangnekar, Anthony Vodacek, Matthew J. Hoffman:
Occlusion Detection for Dynamic Adaptation. DDDAS 2020: 337-344 - [c8]Aneesh Rangnekar, Yi Yao, Matthew J. Hoffman, Ajay Divakaran:
Fine-Tuning for One-Look Regression Vehicle Counting in Low-Shot Aerial Datasets. ICPR Workshops (8) 2020: 5-18
2010 – 2019
- 2019
- [j3]Charles M. Bachmann, Rehman S. Eon, Christopher S. Lapszynski, Gregory P. Badura, Anthony Vodacek, Matthew J. Hoffman, Donald McKeown, Robert L. Kremens, Michael Richardson, Timothy D. Bauch, Mark Foote:
A Low-Rate Video Approach to Hyperspectral Imaging of Dynamic Scenes. J. Imaging 5(1): 6 (2019) - [j2]Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman:
Tracking in Aerial Hyperspectral Videos Using Deep Kernelized Correlation Filters. IEEE Trans. Geosci. Remote. Sens. 57(1): 449-461 (2019) - [c7]Honglei Li, Lei Pan, Eung-Joo Lee, Zhu Li, Matthew J. Hoffman, Anthony Vodacek, Shuvra S. Bhattacharyya:
Hyperspectral Video Processing on Resource-Constrained Platforms. WHISPERS 2019: 1-5 - [i4]Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
AeroRIT: A New Scene for Hyperspectral Image Analysis. CoRR abs/1912.08178 (2019) - 2017
- [c6]Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman:
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps. CVPR Workshops 2017: 233-242 - [i3]Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman:
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps. CoRR abs/1707.03553 (2017) - [i2]Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman:
Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters. CoRR abs/1711.07235 (2017) - [i1]Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
Aerial Spectral Super-Resolution using Conditional Adversarial Networks. CoRR abs/1712.08690 (2017) - 2016
- [j1]Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek:
Integrating Hyperspectral Likelihoods in a Multidimensional Assignment Algorithm for Aerial Vehicle Tracking. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(9): 4325-4333 (2016) - [c5]Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek:
Real-Time Vehicle Tracking in Aerial Video Using Hyperspectral Features. CVPR Workshops 2016: 1443-1451 - 2015
- [c4]Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek:
Efficient integration of spectral features for vehicle tracking utilizing an adaptive sensor. Video Surveillance and Transportation Imaging Applications 2015: 940707 - [c3]Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek:
Spectral Validation of Measurements in a Vehicle Tracking DDDAS. ICCS 2015: 2493-2502 - 2013
- [c2]Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek, John P. Kerekes, Bin Chen:
Feature Matching and Adaptive Prediction Models in an Object Tracking DDDAS. ICCS 2013: 1939-1948 - 2012
- [c1]Anthony Vodacek, John P. Kerekes, Matthew J. Hoffman:
Adaptive Optical Sensing in an Object Tracking DDDAS. ICCS 2012: 1159-1166
Coauthor Index
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