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2020 – today
- 2023
[j3]WonGeun Song, Younghwa Jung, Jihoon Cho, Hyunyoung Baek, Changwon Choi, Sooyoung Yoo
:
Development and validation of a prediction model for evaluating extubation readiness in preterm infants. Int. J. Medical Informatics 178: 105192 (2023)- [c5]Donghwi Jung, JaeKyung Cho, Younghwa Jung, Soohyun Shin, Seong-Woo Kim:
LoRCoN-LO: Long-term Recurrent Convolutional Network-based LiDAR Odometry. ICEIC 2023: 1-4 - [i1]Donghwi Jung, JaeKyung Cho, Younghwa Jung, Soohyun Shin, Seong-Woo Kim:
LoRCoN-LO: Long-term Recurrent Convolutional Network-based LiDAR Odometry. CoRR abs/2303.11853 (2023) - 2022
- [j2]Sanghoon Lee, Younghwa Jung, Young-Hoon Park, Seong-Woo Kim:
Design of V2X-Based Vehicular Contents Centric Networks for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(8): 13526-13537 (2022) - [c4]Chan Kim, JaeKyung Cho, Younghwa Jung, Seung-Woo Seo, Seong-Woo Kim:
Action-Conditioned Traffic Scene Prediction for Interactive Planning. ICEIC 2022: 1-4 - [c3]Younghwa Jung, Seung-Woo Seo, Seong-Woo Kim:
Fast Point Clouds Upsampling with Uncertainty Quantification for Autonomous Vehicles. ICRA 2022: 7776-7782 - 2021
- [c2]Younghwa Jung, Mingu Jeon, Chan Kim, Seung-Woo Seo, Seong-Woo Kim:
Uncertainty-Aware Fast Curb Detection Using Convolutional Networks in Point Clouds. ICRA 2021: 12882-12888 - 2020
- [j1]Younghwa Jung, Seung-Woo Seo, Seong-Woo Kim:
Curb Detection and Tracking in Low-Resolution 3D Point Clouds Based on Optimization Framework. IEEE Trans. Intell. Transp. Syst. 21(9): 3893-3908 (2020) - [c1]WonGeun Song, Hyunyoung Baek, Changwon Choi, Younghwa Jung, Sooyoung Yoo:
Predictive Modeling in Symbolic Vital Signs for Clinical Critical Events in the Neonatal Intensive Care Unit. AMIA 2020
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