Dr. Theus H. Aspiras Profile

Dr. Theus H. Aspiras

Research Scientist at Univ of Dayton

SPIE Involvement:

Conference Program Committee | Author

Publications (22)

Proceedings Article | 13 June 2023 Presentation + Paper

Presentation + Paper

Residues in succession recurrent U-Net for segmentation of retinal blood vessels

Aqsa Sultana, Vijayan Asari, Theus Aspiras

Proceedings Volume 12527, 1252706 (2023) https://doi.org/10.1117/12.2664876

KEYWORDS: Image segmentation, Deep learning, Blood vessels, Neural networks, Performance modeling, Medical imaging

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Proceedings Article | 13 June 2023 Presentation + Paper

Presentation + Paper

R2UNet for melt pond detection

Aqsa Sultana, Vijayan Asari, Ivan Sudakow, Theus Aspiras, Ruixu Liu, Denis Demchev

Proceedings Volume 12527, 125270R (2023) https://doi.org/10.1117/12.2663982

KEYWORDS: Ice, Image segmentation, Machine learning, Semantics, Deep learning, Image processing, Image analysis

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Proceedings Article | 13 June 2023 Presentation

Presentation

Scale and rotational invariant deep neural machine for ship detections in infrared images

Wen Zhu, Ruixu Liu, Theus Aspiras, Vijayan Asari

Proceedings Volume 12527, 125270N (2023) https://doi.org/10.1117/12.2664879

KEYWORDS: Infrared radiation, Infrared imaging, Thermography, Infrared detectors, Neural networks, Neck, Head, Visible radiation, Sensors, Thermal modeling

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Proceedings Article | 13 June 2022 Presentation

Presentation

Learning spatio-temporal attention for multi-object tracking and re-identification in wide area motion imagery

Ruixu Liu, Theus Aspiras, Vijiyan Asari

Proceedings Volume PC12101, PC1210101 (2022) https://doi.org/10.1117/12.2618503

KEYWORDS: Optical tracking, Visualization, Unmanned aerial vehicles, Image processing, Vegetation, System integration, Head, Filtering (signal processing), Feature extraction, Convolutional neural networks

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Proceedings Article | 13 June 2022 Presentation

Presentation

Towards a deep-learning aided point cloud labeling suite

Theus Aspiras, Vijayan Asari, Nina Singer, Jonathan Schierl, Andy Stokes, Brett Keaffaber, Andre Van Rynbach, Kevin Decker, David Rabb

Proceedings Volume PC12101, PC121010A (2022) https://doi.org/10.1117/12.2622313

KEYWORDS: Clouds, Convolution, LIDAR

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Proceedings Article | 13 June 2022 Presentation

Presentation

Deep neural machine for multimodal information fusion

Ruixu Liu, Theus Aspiras, Vijayan Asari

Proceedings Volume PC12101, PC121010C (2022) https://doi.org/10.1117/12.2622315

KEYWORDS: RGB color model, Information fusion, Thermography, Data fusion, Image fusion, Thermal modeling, Sensors, Neural networks, Machine vision, Light sources and illumination

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Proceedings Article | 13 June 2022 Presentation

Presentation

Residues in Succession U-Net for Fast and Efficient Segmentation

Aqsa Sultana, Vijayan Asari, Theus Aspiras

Proceedings Volume PC12101, PC1210107 (2022) https://doi.org/10.1117/12.2634286

KEYWORDS: Image segmentation, Image enhancement, Performance modeling, Retina, Light sources and illumination, Image processing, Feature extraction, Data processing, Classification systems, Blood vessels

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Proceedings Article | 13 June 2022 Presentation

Presentation

Learning classical image registration features using a deep learning architecture

Theus Aspiras, Ruixu Liu, Jonathan Schierl, Vijayan Asari

Proceedings Volume PC12101, PC121010B (2022) https://doi.org/10.1117/12.2622314

KEYWORDS: Image registration, Detection and tracking algorithms, Computer architecture, Neural networks, Image processing, Evolutionary algorithms, Convolution, Computer simulations

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Proceedings Article | 27 May 2022 Presentation + Paper

Presentation + Paper

An automatic multimodal data registration strategy for 2D/3D information fusion

Jonathan Schierl, Vijayan Asari, Nina Singer, Theus Aspiras, Andrew Stokes, Brett Keaffaber, Andre Van Rynbach, Kevin Decker, David Rabb

Proceedings Volume 12100, 1210004 (2022) https://doi.org/10.1117/12.2618564

KEYWORDS: Clouds, Feature extraction, Data modeling, 3D modeling, 3D image processing, Image fusion, Data fusion, Sensors, LIDAR, Image registration

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Proceedings Article | 27 May 2022 Presentation + Paper

Presentation + Paper

Automated point cloud completion for occlusion reduction in aerial Lidar

Nina Singer, Vijayan Asari, Theus Aspiras, Jonathan Schierl, Andrew Stokes, Brett Keaffaber, Andre Van Rynbach, Kevin Decker, David Rabb

Proceedings Volume 12099, 1209906 (2022) https://doi.org/10.1117/12.2618316

KEYWORDS: Clouds, Neurons, LIDAR, Computer programming, Visualization, Sensors, Neural networks, Feature extraction, Defense and security, Statistical modeling

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Proceedings Article | 12 April 2021 Presentation + Paper

Presentation + Paper

Deep neural network based approach for robust aerial surveillance

Ruixu Liu, Theus Aspiras, Vijayan Asari

Proceedings Volume 11735, 117350B (2021) https://doi.org/10.1117/12.2591194

KEYWORDS: Surveillance, Neural networks, Sensors, Parallel computing, Network architectures, Machine vision, Image classification, Image analysis, Environmental sensing, Computer vision technology

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Proceedings Article | 2 March 2020 Presentation + Paper

Presentation + Paper

Skin cancer segmentation and classification with improved deep convolutional neural network

Md Zahangir Alom, Theus Aspiras, Tarek Taha, Vijayan Asari

Proceedings Volume 11318, 1131814 (2020) https://doi.org/10.1117/12.2550146

KEYWORDS: Image segmentation, Skin cancer, Computer programming, Tumor growth modeling, Data modeling, Skin, Melanoma, Surgery, Medical imaging, Image classification

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Proceedings Article | 6 September 2019 Paper

Paper

Histopathological image classification with deep convolutional neural networks

Md. Zahangir Alom, Theus Aspiras, Tarek Taha, Vijayan Asari

Proceedings Volume 11139, 111390X (2019) https://doi.org/10.1117/12.2530291

KEYWORDS: Image classification, Data modeling, Image analysis, Medical imaging, Image segmentation, Machine vision, Convolutional neural networks, Cancer, Tumor growth modeling, Tissues

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Proceedings Article | 13 May 2019 Presentation

Presentation

Convolutional auto-encoder for vehicle detection in aerial imagery (Conference Presentation)

Theus Aspiras, Ruixu Liu, Vijayan Asari

Proceedings Volume 10995, 109950D (2019) https://doi.org/10.1117/12.2520253

KEYWORDS: Airborne remote sensing, Convolutional neural networks, Network architectures, Neural networks

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Proceedings Article | 13 May 2019 Presentation

Presentation

Multi-task deep learning architecture for semantic segmentation in EO imagery (Conference Presentation)

Theus Aspiras, Bradley Sorg, Vijayan Asari

Proceedings Volume 10995, 1099503 (2019) https://doi.org/10.1117/12.2520254

KEYWORDS: Image segmentation, Classification systems, Network architectures, Neural networks, Edge detection

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Proceedings Article | 14 May 2018 Presentation + Paper

Presentation + Paper

Human detection in infrared imagery using intensity distribution, gradient and texture features

Hussin Ragb, Vijayan Asari, Theus Aspiras

Proceedings Volume 10668, 106680G (2018) https://doi.org/10.1117/12.2305389

KEYWORDS: Infrared radiation, Infrared imaging, Thermography, Infrared detectors, Detection and tracking algorithms, Binary data, Cameras, Feature extraction, Far infrared, Sensors

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Proceedings Article | 30 April 2018 Presentation + Paper

Presentation + Paper

Vehicle tracking in full motion video using the progressively expanded neural network (PENNet) tracker

Evan Krieger, Theus Aspiras, Vijayan Asari, Kevin Krucki, Bryce Wauligman, Yakov Diskin, Karl Salva

Proceedings Volume 10649, 106490I (2018) https://doi.org/10.1117/12.2305391

KEYWORDS: Neural networks, Unmanned aerial vehicles, RGB color model, Video, Detection and tracking algorithms, Optical tracking, Electronic filtering, Video surveillance, Image filtering, Complex systems, Tracking and scene analysis, Real time video processing, Real time image processing

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Proceedings Article | 30 August 2017 Presentation + Paper

Presentation + Paper

Directional ringlet intensity feature transform (DRIFT) based object tracking in IR imagery

Evan Krieger, Theus Aspiras, Vijayan Asari

Proceedings Volume 10403, 104030L (2017) https://doi.org/10.1117/12.2275550

KEYWORDS: Infrared imaging, Detection and tracking algorithms, Optical tracking, Infrared search and track, Databases, Visualization, Optical filters, Electronic filtering, Filtering (signal processing), Remote sensing

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Proceedings Article | 21 May 2015 Paper

Paper

Intensity and resolution enhancement of local regions for object detection and tracking in wide area surveillance

Evan Krieger, Vijayan Asari, Saibabu Arigela, Theus Aspiras

Proceedings Volume 9497, 949705 (2015) https://doi.org/10.1117/12.2177228

KEYWORDS: Databases, Super resolution, Light sources and illumination, Feature extraction, Spatial resolution, Resolution enhancement technologies, Filtering (signal processing), Machine vision, Computer vision technology, Image enhancement

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Proceedings Article | 20 April 2015 Paper

Paper

Gaussian weighted neighborhood connectivity of nonlinear line attractor for learning complex manifolds

Theus Aspiras, Vijayan Asari, Wesam Sakla

Proceedings Volume 9477, 94770E (2015) https://doi.org/10.1117/12.2179889

KEYWORDS: Neurons, Neural networks, Databases, Brain, Data modeling, Light sources and illumination, Network architectures, Detection and tracking algorithms, Cameras, Principal component analysis

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Proceedings Article | 5 May 2014 Paper

Paper

A rotation-invariant pattern recognition using spectral fringe-adjusted joint transform correlator and histogram representation

Paheding Sidike, Theus Aspiras, Vijayan Asari, Mohammad Alam

Proceedings Volume 9094, 90940F (2014) https://doi.org/10.1117/12.2050467

KEYWORDS: Target detection, Pattern recognition, Joint transforms, Detection and tracking algorithms, Image processing, Fourier transforms, Hyperspectral imaging, Target recognition, Optical correlators, Hyperspectral target detection

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Proceedings Article | 4 June 2011 Paper

Paper

Wavelet domain analysis of EEG data for emotion recognition: evaluation of recoursing energy efficiency

Theus Aspiras, Vijayan Asari

Proceedings Volume 8058, 805818 (2011) https://doi.org/10.1117/12.884074

KEYWORDS: Electroencephalography, Wavelets, Energy efficiency, Discrete wavelet transforms, Feature extraction, Detection and tracking algorithms, Data acquisition, Electrodes, Bandpass filters, Visualization

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Showing 5 of 22 publications

Conference Committee Involvement (2)

Multimodal Image Exploitation and Learning 2024

22 April 2024 | National Harbor, Maryland, United States

Multimodal Image Exploitation and Learning 2023

1 May 2023 | Orlando, Florida, United States

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