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20182022
most citedPredicting Rapid Fire Growth (Flashover) Using Conditional Generative Adversarial Networks

6 citations · 11 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2022

Neurosymbolic hybrid approach to driver collision warning

Kyongsik Yun, Thomas Lu, Alexander Huyen +2

There are two main algorithmic approaches to autonomous driving systems: (1) An end-to-end system in which a single deep neural network learns to map sensory input directly into ap…

cs.CV2022

Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations

Daniel Lundstrom, Alexander Huyen, Arya Mevada +2

Deep learning (DL) has proven to be an effective machine learning and computer vision technique. DL-based image segmentation, object recognition and classification will aid many in…

cs.CV20194 cited

Small Target Detection for Search and Rescue Operations using Distributed Deep Learning and Synthetic Data Generation

Kyongsik Yun, Luan Nguyen, Tuan Nguyen +5

It is important to find the target as soon as possible for search and rescue operations. Surveillance camera systems and unmanned aerial vehicles (UAVs) are used to support search…

cs.CV2018

Deep Neural Networks for Pattern Recognition

Kyongsik Yun, Alexander Huyen, Thomas Lu

In the field of pattern recognition research, the method of using deep neural networks based on improved computing hardware recently attracted attention because of their superior a…

cs.CV2018

Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks

Kyongsik Yun, Thomas Lu, Edward Chow

Firefighters suffer a variety of life-threatening risks, including line-of-duty deaths, injuries, and exposures to hazardous substances. Support for reducing these risks is importa…