Dr. Hyungtae Lee Profile

Dr. Hyungtae Lee

Deep Learning Scientist/Sr Consultant at DEVCOM Army Research Lab

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Publications (6)

Proceedings Article | 21 April 2020 Presentation + Paper

An optimal end-to-end training strategy for multi-expert-based neural architecture

Hyungtae Lee, Heesung Kwon

Proceedings Volume 11413, 114130L (2020) https://doi.org/10.1117/12.2558553

KEYWORDS: Network architectures, Optimization (mathematics), Image processing, Data modeling, Performance modeling, Computer architecture, Machine learning, Neodymium, Feature extraction, Analytical research

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Proceedings Article | 10 May 2019 Paper

How to practically deploy deep neural networks to distributed network environments for scene perception

Hyungtae Lee, Heesung Kwon

Proceedings Volume 11006, 110061R (2019) https://doi.org/10.1117/12.2519885

KEYWORDS: Image classification, Neural networks, Network architectures, Image segmentation, Object recognition, Analytical research

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Proceedings Article | 27 April 2018 Presentation + Paper

A real-time object detection framework for aerial imagery using deep neural networks and synthetic training images

Priya Narayanan, Christoph Borel-Donohue, Hyungtae Lee, Heesung Kwon, Raghuveer Rao

Proceedings Volume 10646, 1064614 (2018) https://doi.org/10.1117/12.2306154

KEYWORDS: Neural networks, Airborne remote sensing, Unmanned aerial vehicles, Machine vision, Computer vision technology, Video surveillance, Video, Situational awareness sensors, Object recognition, Surveillance

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Proceedings Article | 27 April 2018 Paper

Going deeper with CNN in malicious crowd event classification

Sungmin Eum, Hyungtae Lee, Heesung Kwon

Proceedings Volume 10646, 1064616 (2018) https://doi.org/10.1117/12.2306086

KEYWORDS: Image classification, Network architectures, Convolution, Visualization, Classification systems, Tumor growth modeling, Convolutional neural networks, Image enhancement, Facial recognition systems, Data modeling

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Proceedings Article | 25 May 2016 Paper

Single-trial EEG RSVP classification using convolutional neural networks

Jared Shamwell, Hyungtae Lee, Heesung Kwon, Amar Marathe, Vernon Lawhern, William Nothwang

Proceedings Volume 9836, 983622 (2016) https://doi.org/10.1117/12.2224172

KEYWORDS: Convolutional neural networks, Electroencephalography, Data modeling, Visualization, Signal to noise ratio, Visual process modeling, Machine vision, Performance modeling, Convolution, Data fusion

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Proceedings Article | 25 May 2016 Paper

An efficient fusion approach for combining human and machine decisions

Hyungtae Lee, Heesung Kwon, Ryan Robinson, William Nothwang, Amar Marathe

Proceedings Volume 9836, 983621 (2016) https://doi.org/10.1117/12.2220788

KEYWORDS: Sensors, Probability theory, Target detection, Sensor performance, Image fusion, Detection and tracking algorithms, Machine vision, Computer vision technology, Analytical research, Composites, Chemical elements

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Showing 5 of 6 publications

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