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L. Collins · SciRah

Researcher profile · Semantic Scholar

L. Collins

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L. Collins — researcher profile on SciRah

h-index: 39
Works: 394
Citations: 5,966

Most-cited papers

Distributed solar photovoltaic array location and extent dataset for remote sensing object identification
Kyle Bradbury, Raghav Saboo, Timothy L. Johnson, Jordan M. Malof +4 more
2016Scientific Data370 citations Open access
Semantic Scholar
Automatic Detection of Solar Photovoltaic Arrays in High Resolution Aerial Imagery
Jordan M. Malof, Kyle Bradbury, L. Collins, R. Newell
2016arXiv.org196 citations Open access
Semantic Scholar
Segment anything, from space?
Si-Miao Ren, Francesco Luzi, S. Lahrichi, Kaleb Kassaw +3 more
2023IEEE Workshop/Winter Conference on Applications of Computer Vision93 citations Open access
Semantic Scholar
Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark
Bohao Huang, Kangkang Lu, Nicolas Audeberr, A. Khalel +8 more
2018IEEE International Geoscience and Remote Sensing Symposium91 citations
Semantic Scholar
A deep convolutional neural network, with pre-training, for solar photovoltaic array detection in aerial imagery
Jordan M. Malof, L. Collins, Kyle Bradbury
2017IEEE International Geoscience and Remote Sensing Symposium66 citations
Semantic Scholar
Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations
Bohao Huang, Daniel Reichman, L. Collins, Kyle Bradbury +1 more
201860 citations
Semantic Scholar
A deep convolutional neural network and a random forest classifier for solar photovoltaic array detection in aerial imagery
Jordan M. Malof, L. Collins, Kyle Bradbury, R. Newell
2016IEEE International Conference on Renewable Energy Research and Applications54 citations
Semantic Scholar
Improving convolutional neural networks for buried target detection in ground penetrating radar using transfer learning via pretraining
John Bralich, Daniel Reichman, L. Collins, Jordan M. Malof
2017Defense + Security53 citations
Semantic Scholar
Geochemical Fingerprinting by Handheld Laser‐Induced Breakdown Spectroscopy
Russell S. Harmon, Richard R. Hark, Chandra S. Throckmorton, Eugene C. Rankey +3 more
201753 citations
Semantic Scholar
Some good practices for applying convolutional neural networks to buried threat detection in Ground Penetrating Radar
Daniel Reichman, L. Collins, Jordan M. Malof
2017International Workshop on Advanced Ground Penetrating Radar51 citations
Semantic Scholar
Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery
Joseph A. Camilo, Rui Wang, L. Collins, Kyle Bradbury +1 more
2018arXiv.org50 citations
Semantic Scholar
A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar
Jordan M. Malof, Daniel Reichman, A. Karem, H. Frigui +5 more
2018IEEE Transactions on Geoscience and Remote Sensing39 citations Open access
Semantic Scholar
Discriminating volcanic centers with handheld laser-induced breakdown spectroscopy (LIBS)
R. Harmon, C. Throckmorton, Richard R. Hark, J. Gottfried +3 more
2018Journal of Archaeological Science39 citations Open access
Semantic Scholar
The poor generalization of deep convolutional networks to aerial imagery from new geographic locations: an empirical study with solar array detection
Rui Wang, Joseph A. Camilo, L. Collins, Kyle Bradbury +1 more
2017International Conference on Artificial Intelligence and Pattern Recognition29 citations
Semantic Scholar
Image features for pixel-wise detection of solar photovoltaic arrays in aerial imagery using a random forest classifier
Jordan M. Malof, Kyle Bradbury, L. Collins, R. Newell +3 more
2016IEEE International Conference on Renewable Energy Research and Applications27 citations
Semantic Scholar
A Large Comparison of Feature-Based Approaches for Buried Target Classification in Forward-Looking Ground-Penetrating Radar
Joseph A. Camilo, L. Collins, Jordan M. Malof
2017IEEE Transactions on Geoscience and Remote Sensing22 citations Open access
Semantic Scholar
Fusion of P300 and eye-tracker data for spelling using BCI2000
Dmitry Kalika, L. Collins, K. Caves, C. Throckmorton
2017Journal of Neural Engineering20 citations Open access
Semantic Scholar
GridTracer: Automatic Mapping of Power Grids Using Deep Learning and Overhead Imagery
Bohao Huang, Ji-Chen Yang, A. Streltsov, Kyle Bradbury +2 more
2021IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing19 citations Open access
Semantic Scholar
Estimating the electricity generation capacity of solar photovoltaic arrays using only color aerial imagery
Brenda So, Cory Nezin, Vishnu Kaimal, Sam Keene +3 more
2017IEEE International Geoscience and Remote Sensing Symposium17 citations
Semantic Scholar
Aerial imagery object identification dataset for building and road detection, and building height estimation
Kyle Bradbury, B. Brigman, L. Collins, T. Johnson +6 more
201617 citations
Semantic Scholar
Improvements to the Histogram of Oriented Gradient (HOG) prescreener for buried threat detection in ground penetrating radar data
Daniel Reichman, L. Collins, Jordan M. Malof
2017Defense + Security16 citations
Semantic Scholar
Neurophysiology of Visual-Motor Learning During a Simulated Marksmanship Task in Immersive Virtual Reality
J. Clements, Regis Kopper, David J. Zielinski, H. Rao +5 more
2018IEEE Conference on Virtual Reality and 3D User Interfaces15 citations
Semantic Scholar
A Comparison of Feature Representations for Explosive Threat Detection in Ground Penetrating Radar Data
Rayn Sakaguchi, K. Morton, L. Collins, P. Torrione
2017IEEE Transactions on Geoscience and Remote Sensing14 citations
Semantic Scholar
Predicting outcomes in glioblastoma patients using computerized analysis of tumor shape: preliminary data
Maciej A. Mazurowski, Nicholas Czarnek, L. Collins, K. Peters +1 more
2016SPIE Medical Imaging13 citations
Semantic Scholar
Non-intrusive load monitoring system performance over a range of low frequency sampling rates
Bohao Huang, M. Knox, Kyle Bradbury, L. Collins +1 more
2017IEEE International Conference on Renewable Energy Research and Applications12 citations
Semantic Scholar
How do we choose the best model? The impact of cross-validation design on model evaluation for buried threat detection in ground penetrating radar
Jordan M. Malof, Daniel Reichman, L. Collins
2018Defense + Security11 citations
Semantic Scholar
Algorithm development for deeply buried threat detection in GPR data
Daniel Reichman, Jordan M. Malof, L. Collins
2016SPIE Defense + Security11 citations
Semantic Scholar
Deep Convolutional Segmentation of Remote Sensing Imagery: A Simple and Efficient Alternative to Stitching Output Labels
Bohao Huang, L. Collins, Kyle Bradbury, Jordan M. Malof
2018IEEE International Geoscience and Remote Sensing Symposium10 citations
Semantic Scholar
Learning improved pooling regions for the Histogram of Oriented Gradient (HOG) feature for buried threat detection in ground penetrating radar
Daniel Reichman, L. Collins, Jordan M. Malof
2017Defense + Security10 citations
Semantic Scholar
Improving the histogram of oriented gradient feature for threat detection in ground penetrating radar by implementing it as a trainable convolutional neural network
Jordan M. Malof, John Bralich, Daniel Reichman, L. Collins
2018Defense + Security9 citations
Semantic Scholar
Augmented Latent Dirichlet Allocation (Lda) Topic Model with Gaussian Mixture Topics
Kedar S. Prabhudesai, B. Mainsah, L. Collins, C. Throckmorton
2018IEEE International Conference on Acoustics, Speech, and Signal Processing9 citations
Semantic Scholar
A CAUSAL DEEP LEARNING FRAMEWORK FOR CLASSIFYING PHONEMES IN COCHLEAR IMPLANTS
Kevin M. Chu, L. Collins, B. Mainsah
2021IEEE International Conference on Acoustics, Speech, and Signal Processing8 citations Open access
Semantic Scholar
Heart Sound Analysis in Individuals Supported With Left Ventricular Assist Devices
Xinlin J. Chen, Emma Laporte, Cameron Olsen, L. Collins +3 more
2021IEEE Transactions on Biomedical Engineering8 citations
Semantic Scholar
Reliable training of convolutional neural networks for GPR-based buried threat detection using the Adam optimizer and batch normalization
S. Jacobson, Daniel Reichman, Joel Bjornstad, L. Collins +1 more
2019Defense + Commercial Sensing7 citations
Semantic Scholar
Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: preliminary results
Fanjie Kong, Cheng Chen, Bohao Huang, L. Collins +2 more
2019IEEE International Geoscience and Remote Sensing Symposium7 citations
Semantic Scholar
Semisupervised Adversarial Discriminative Domain Adaptation, with Applicationto Remote Sensing Data
Rui Wang, L. Collins, Kyle Bradbury, Jordan M. Malof
2018IEEE International Geoscience and Remote Sensing Symposium7 citations
Semantic Scholar
Do Deep Learning Models Generalize to Overhead Imagery from Novel Geographic Domains? The xGD Benchmark Problem
Bohao Huang, Kyle Bradbury, L. Collins, Jordan M. Malof
2020IEEE International Geoscience and Remote Sensing Symposium6 citations
Semantic Scholar
Acoustic Signatures of Left Ventricular Assist Device Thrombosis.
Priyesh A. Patel, B. Mainsah, C. Milano, D. Nowacek +2 more
2019Journal of Engineering and Science in Medical Diagnostics and Therapy6 citations Open access
Semantic Scholar
Adaptive stimulus selection in ERP-based brain-computer interfaces by maximizing expected discrimination gain
Dmitry Kalika, L. Collins, C. Throckmorton, B. Mainsah
2017IEEE International Conference on Systems, Man and Cybernetics6 citations Open access
Semantic Scholar
Parameter tuning of time-frequency masking algorithms for reverberant artifact removal within the cochlear implant stimulus
Lidea K. Shahidi, L. Collins, B. Mainsah
2021Cochlear Implants International5 citations Open access
Semantic Scholar
Automated feature learning using deep convolutional auto-encoder neural network for clustering electroencephalograms into sleep stages
Kedar S. Prabhudesai, L. Collins, B. Mainsah
2019International IEEE/EMBS Conference on Neural Engineering5 citations
Semantic Scholar
A simple rotational equivariance loss for generic convolutional segmentation networks: preliminary results
Kangcheng Lin, Bohao Huang, L. Collins, Kyle Bradbury +1 more
2019IEEE International Geoscience and Remote Sensing Symposium5 citations
Semantic Scholar
Dense labeling of large remote sensing imagery with convolutional neural networks: a simple and faster alternative to stitching output label maps
Bohao Huang, Daniel Reichman, L. Collins, Kyle Bradbury +1 more
2018arXiv.org5 citations
Semantic Scholar
Information-based Adaptive Stimulus Selection to Optimize Communication Efficiency in Brain-Computer Interfaces
B. Mainsah, Dmitry Kalika, L. Collins, Siyuan Liu +1 more
2018Neural Information Processing Systems5 citations
Semantic Scholar
USING MACHINE LEARNING TO MITIGATE THE EFFECTS OF REVERBERATION AND NOISE IN COCHLEAR IMPLANTS
Kevin M. Chu, C. Throckmorton, L. Collins, B. Mainsah
2018Proceedings of meetings on acoustics. Acoustical Society of America5 citations Open access
Semantic Scholar
gprHOG and the popularity of Histogram of Oriented Gradients (HOG) for Buried Threat Detection in Ground-Penetrating Radar
Daniel Reichman, L. Collins, Jordan M. Malof
20185 citations
Semantic Scholar
Discriminative dictionary learning to learn effective features for detecting buried threats in ground penetrating radar data
Jordan M. Malof, Daniel Reichman, L. Collins
2017Defense + Security5 citations
Semantic Scholar
Trading spatial resolution for improved accuracy when using detection algorithms on remote sensing imagery
Shen Qian, Sravya Chelikani, Patrick Wang, L. Collins +2 more
2017IEEE International Geoscience and Remote Sensing Symposium5 citations
Semantic Scholar
Multivariate Output-Associative RVM for Multi-Dimensional Affect Predictions
Achut Manandhar, K. Morton, P. Torrione, L. Collins
20165 citations
Semantic Scholar
Transformers For Recognition In Overhead Imagery: A Reality Check
Francesco Luzi, Aneesh Gupta, L. Collins, Kyle Bradbury +1 more
2022IEEE Workshop/Winter Conference on Applications of Computer Vision4 citations Open access
Semantic Scholar

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