Kyongsik Yun

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 17

Top Topics

Object Reconstruction

Data Generation

Search And Rescue Operations

Top Venues

Publications

Julia Briden, Changrak Choi, Kyongsik Yun, Richard Linares, Abhishek Cauligi
Constraint-Informed Learning for Warm Starting Trajectory Optimization. CoRR (2023)
Daniel Lundström, Alexander Huyen, Arya Mevada, Kyongsik Yun, Thomas Lu
Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations. CoRR (2022)
Kyongsik Yun, Thomas Lu, Alexander Huyen, Patrick Hammer, Pei Wang
Neurosymbolic hybrid approach to driver collision warning. CoRR (2022)
Kyongsik Yun, Kyra Adams, John Reager, Zhen Liu, Caitlyn Chavez, Michael Turmon, Thomas Lu
Remote estimation of geologic composition using interferometric synthetic-aperture radar in California's Central Valley. CoRR (2022)
Alex Sabol, Kyongsik Yun, Muhammad Adil, Changrak Choi, Ramtin Madani
Machine Learning Based Relative Orbit Transfer for Swarm Spacecraft Motion Planning. CoRR (2022)
Kyongsik Yun, Rishi Verma, Umaa Rebbapragada
Time Series Comparisons in Deep Space Network. CoRR (2021)
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 (2020)
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 (2020)
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 (2019)
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 (2019)
E. Natasha Stavros, Ali Agha, Allen Sirota, Marco Quadrelli, Kamak Ebadi, Kyongsik Yun
Smoke Sky - Exploring New Frontiers of Unmanned Aerial Systems for Wildland Fire Science and Applications. CoRR (2019)
Kyongsik Yun, Alexander Huyen, Thomas Lu
Deep Neural Networks for Pattern Recognition. CoRR (2018)
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 (2018)
Kyongsik Yun, Thomas Lu, Edward Chow
Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks. CoRR (2018)
Kyongsik Yun, Jessi Bustos, Thomas Lu
Predicting Rapid Fire Growth (Flashover) Using Conditional Generative Adversarial Networks. IRIACV (2018)
Kyongsik Yun, Jessi Bustos, Thomas Lu
Predicting Rapid Fire Growth (Flashover) Using Conditional Generative Adversarial Networks. CoRR (2018)
Kyongsik Yun, Adrian Stoica
Improved target recognition response using collaborative brain-computer interfaces. SMC (2016)