no code implementations • 4 Dec 2022 • Kyongsik Yun, Kyra Adams, John Reager, Zhen Liu, Caitlyn Chavez, Michael Turmon, Thomas Lu
We also achieved significant accuracy with 1/4 sparse sampling to reduce any spatial correlations among data, suggesting that the model has the potential to be generalized to other regions for indirect estimation of geologic composition.
no code implementations • 28 Mar 2022 • Kyongsik Yun, Thomas Lu, Alexander Huyen, Patrick Hammer, Pei Wang
(2) A mediated hybrid recognition system in which a system is created by combining independent modules that detect each semantic feature.
no code implementations • 15 Jan 2022 • Daniel Lundstrom, Alexander Huyen, Arya Mevada, Kyongsik Yun, Thomas Lu
It provides a set of explainability tools (ET) that opens the black box of a DNN so that the individual contribution of neurons to category classification can be ranked and visualized.
no code implementations • 2 Nov 2021 • Kyongsik Yun, Rishi Verma, Umaa Rebbapragada
It is recognized that it would be quite helpful to identify 10 similar historical tracks out of the huge database to quickly find and match anomalies.
no code implementations • 15 Oct 2020 • Kyongsik Yun, Changrak Choi, Ryan Alimo, Anthony Davis, Linda Forster, Amir Rahmani, Muhammad Adil, Ramtin Madani
State-of-the-art motion planners cannot scale to a large number of systems.
no code implementations • 12 Nov 2019 • E. Natasha Stavros, Ali Agha, Allen Sirota, Marco Quadrelli, Kamak Ebadi, Kyongsik Yun
Once this is completed for a single MAV, expanding the work to include many in a swarm would require further investment of distributed MAV autonomy and MAV swarm mechanics, but could greatly expand the breadth of application over large fires.
no code implementations • 25 Apr 2019 • Kyongsik Yun, Luan Nguyen, Tuan Nguyen, Doyoung Kim, Sarah Eldin, Alexander Huyen, Thomas Lu, Edward Chow
We compared the performance between the auto-detection system and the human eye.
no code implementations • 25 Apr 2019 • Kyongsik Yun, Kevin Yu, Joseph Osborne, Sarah Eldin, Luan Nguyen, Alexander Huyen, Thomas Lu
In summary, CycleGAN is used with synthetic data to improve the IR image conversion performance of visible images.
no code implementations • 25 Sep 2018 • 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 accuracy compared to conventional methods.
no code implementations • 24 Apr 2018 • Kyongsik Yun, Joseph Osborne, Madison Lee, Thomas Lu, Edward Chow
Transcribing voice communications in NASA's launch control center is important for information utilization.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 20 Apr 2018 • Kyongsik Yun, Thomas Lu, Edward Chow
We used a deep learning based on conditional generative adversarial networks to train associations between the various images of flammable and hazardous objects and their partially occluded counterparts.
no code implementations • 30 Jan 2018 • Kyongsik Yun, Jessi Bustos, Thomas Lu
A flashover occurs when a fire spreads very rapidly through crevices due to intense heat.