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Kyongsik Yun
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2020 – today
- 2023
- [i15]Julia Briden, Changrak Choi, Kyongsik Yun, Richard Linares, Abhishek Cauligi:
Constraint-Informed Learning for Warm Starting Trajectory Optimization. CoRR abs/2312.14336 (2023) - 2022
- [i14]Daniel Lundström, Alexander Huyen, Arya Mevada, Kyongsik Yun, Thomas Lu:
Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations. CoRR abs/2201.05775 (2022) - [i13]Alex Sabol, Kyongsik Yun, Muhammad Adil, Changrak Choi, Ramtin Madani:
Machine Learning Based Relative Orbit Transfer for Swarm Spacecraft Motion Planning. CoRR abs/2201.12338 (2022) - [i12]Kyongsik Yun, Thomas Lu, Alexander Huyen, Patrick Hammer, Pei Wang:
Neurosymbolic hybrid approach to driver collision warning. CoRR abs/2203.15076 (2022) - [i11]Kyongsik Yun, Kyra Adams, John T. Reager, Zhen Liu, Caitlyn Chavez, Michael J. Turmon, Thomas Lu:
Remote estimation of geologic composition using interferometric synthetic-aperture radar in California's Central Valley. CoRR abs/2212.04813 (2022) - 2021
- [i10]Kyongsik Yun, Rishi Verma, Umaa Rebbapragada:
Time Series Comparisons in Deep Space Network. CoRR abs/2111.01393 (2021) - 2020
- [i9]Kyongsik Yun, Thomas Lu, Alexander Huyen:
Transforming unstructured voice and text data into insight for paramedic emergency service using recurrent and convolutional neural networks. CoRR abs/2006.04946 (2020) - [i8]Kyongsik Yun, Changrak Choi, Ryan Alimo, Anthony Davis, Linda Forster, Amir Rahmani, Muhammad Adil, Ramtin Madani:
Multi-Agent Motion Planning using Deep Learning for Space Applications. CoRR abs/2010.07935 (2020)
2010 – 2019
- 2019
- [i7]Kyongsik Yun, Luan Nguyen, Tuan Nguyen, Doyoung Kim, Sarah Eldin, Alexander Huyen, Thomas Lu, Edward Chow:
Small Target Detection for Search and Rescue Operations using Distributed Deep Learning and Synthetic Data Generation. CoRR abs/1904.11619 (2019) - [i6]Kyongsik Yun, Kevin Yu, Joseph Osborne, Sarah Eldin, Luan Nguyen, Alexander Huyen, Thomas Lu:
Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks. CoRR abs/1904.11620 (2019) - [i5]E. Natasha Stavros, Ali Agha, Allen Sirota, Marco B. Quadrelli, Kamak Ebadi, Kyongsik Yun:
Smoke Sky - Exploring New Frontiers of Unmanned Aerial Systems for Wildland Fire Science and Applications. CoRR abs/1911.08288 (2019) - 2018
- [c2]Kyongsik Yun
, Jessi Bustos, Thomas Lu:
Predicting Rapid Fire Growth (Flashover) Using Conditional Generative Adversarial Networks. IRIACV 2018: 1-4 - [i4]Kyongsik Yun, Jessi Bustos, Thomas Lu:
Predicting Rapid Fire Growth (Flashover) Using Conditional Generative Adversarial Networks. CoRR abs/1801.09804 (2018) - [i3]Kyongsik Yun, Joseph Osborne, Madison Lee, Thomas Lu, Edward Chow:
Automatic speech recognition for launch control center communication using recurrent neural networks with data augmentation and custom language model. CoRR abs/1804.09552 (2018) - [i2]Kyongsik Yun, Thomas Lu, Edward Chow:
Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks. CoRR abs/1805.00322 (2018) - [i1]Kyongsik Yun, Alexander Huyen, Thomas Lu:
Deep Neural Networks for Pattern Recognition. CoRR abs/1809.09645 (2018) - 2016
- [c1]Kyongsik Yun
, Adrian Stoica
:
Improved target recognition response using collaborative brain-computer interfaces. SMC 2016: 2220-2223
Coauthor Index
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