Yeji Choi

According to our database, Yeji Choi authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data.

Young-Jae Park, Minseok Seo, Doyi Kim, Hyeri Kim, Sanghoon Choi, Beomkyu Choi, Jeongwon Ryu, Sohee Son, Hae-Gon Jeon, Yeji Choi

CoRR, 2024

2023

Deterministic Guidance Diffusion Model for Probabilistic Weather Forecasting.

Donggeun Yoon, Minseok Seo, Doyi Kim, Yeji Choi, Donghyeon Cho

CoRR, 2023

Improved Flood Insights: Diffusion-Based SAR to EO Image Translation.

Minseok Seo, Youngtack Oh, Doyi Kim, Dongmin Kang, Yeji Choi

CoRR, 2023

Intermediate and Future Frame Prediction of Geostationary Satellite Imagery With Warp and Refine Network.

Minseok Seo, Yeji Choi, Hyungon Ry, Heesun Park, Hyungkun Bae, Hyesook Lee, Wanseok Seo

CoRR, 2023

Face Photo-Sketch Synthesis Via Domain-Invariant Feature Embedding.

Yeji Choi, Kwanghoon Sohn, Ig-Jae Kim

Proceedings of the IEEE International Conference on Image Processing, 2023

Explainable AI-Based Interface System for Weather Forecasting Model.

Soyeon Kim, Junho Choi, Yeji Choi, Subeen Lee, Artyom Stitsyuk, Minkyoung Park, Seongyeop Jeong, You-Hyun Baek, Jaesik Choi

Proceedings of the HCI International 2023 - Late Breaking Papers, 2023

2022

A 65 nm Duplex Transconductance Path Up-Conversion Mixer for 24 GHz Automotive Short-Range Radar Sensor Applications.

Tahesin Samira Delwar, Abrar Siddique, Manas Ranjan Biswal, Prangyadarsini Behera, Yeji Choi, Jee-Youl Ryu

Sensors, 2022

Pattern Classification Using Quantized Neural Networks for FPGA-Based Low-Power IoT Devices.

Manas Ranjan Biswal, Tahesin Samira Delwar, Abrar Siddique, Prangyadarsini Behera, Yeji Choi, Jee-Youl Ryu

Sensors, 2022

A Novel 65 nm Active-Inductor-Based VCO with Improved Q-Factor for 24 GHz Automotive Radar Applications.

Prangyadarsini Behera, Abrar Siddique, Tahesin Samira Delwar, Manas Ranjan Biswal, Yeji Choi, Jee-Youl Ryu

Sensors, 2022

Contrastive Multiview Coding With Electro-Optics for SAR Semantic Segmentation.

Keumgang Cha, Junghoon Seo, Yeji Choi

IEEE Geosci. Remote. Sens. Lett., 2022

A novel dual mode configurable and tunable high-gain, high-efficient CMOS power amplifier for 5G applications.

Tahesin Samira Delwar, Abrar Siddique, Manas Ranjan Biswal, Prangyadarsini Behera, Ahmed Nabih Zaki Rashed, Yeji Choi, Jee-Youl Ryu

Integr., 2022

Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift.

Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi

CoRR, 2022

Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network.

Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi

CoRR, 2022

2021

RAIN-F+: The Data-Driven Precipitation Prediction Model for Integrated Weather Observations.

Yeji Choi, Keumgang Cha, Minyoung Back, Hyunguk Choi, Taegyun Jeon

Remote. Sens., 2021

Rain-Type Classification From Microwave Satellite Observations Using Deep Neural Network Segmentation.

Yeji Choi, Seongchan Kim

IEEE Geosci. Remote. Sens. Lett., 2021

HPC cluster-based user-defined data integration platform for deep learning in geoscience applications.

Guohua Li, Yeji Choi

Comput. Geosci., 2021

K-FACE: A Large-Scale KIST Face Database in Consideration with Unconstrained Environments.

Yeji Choi, Hyunjung Park, Gi Pyo Nam, Haksub Kim, Heeseung Choi, Junghyun Cho, Ig-Jae Kim

CoRR, 2021

Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts.

Aleksandra Gruca, Federico Serva, Llorenç Lliso, Pilar Rípodas, Xavier Calbet, Pedro Herruzo, Jirí Pihrt, Rudolf Raevskiy, Petr Simánek, Matej Choma, Yang Li, Haiyu Dong, Yury Belousov, Sergey Polezhaev, Brian Pulfer, Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi, Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim, Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun, Bertrand Le Saux, Michael K Kopp, Sepp Hochreiter, David P. Kreil

Proceedings of the NeurIPS 2022 Competition Track, 2021

Rain-F: A Fusion Dataset for Rainfall Prediction Using Convolutional Neural Network.

Yeji Choi, Keumgang Cha, Minyoung Back, Hyunguk Choi, Taegyun Jeon

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Deep Learning-Based Distortion Sensitivity Prediction for Full-Reference Image Quality Assessment.

Sewoong Ahn, Yeji Choi, Kwangjin Yoon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Passive Microwave Precipitation Retrieval Algorithm With $A~Priori$ Databases of Various Cloud Microphysics Schemes: Tropical Cyclone Applications.

Yeji Choi, Dong-Bin Shin, Jiseob Kim, Minsu Joh

IEEE Trans. Geosci. Remote. Sens., 2020

Memetic algorithm for multivariate time-series segmentation.

Hyunki Lim, Heeseung Choi, Yeji Choi, Ig-Jae Kim

Pattern Recognit. Lett., 2020

GAN-Based Anomaly Detection and Localization of Multivariate Time Series Data for Power Plant.

Yeji Choi, Hyunki Lim, Heeseung Choi, Ig-Jae Kim

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2016

Effects of the Three-Dimensional Hydrometeor Distributions of Precipitating Clouds on Passive Microwave Rainfall Estimations.

Sung-Woo Kim, Dong-Bin Shin, Yeji Choi

IEEE Trans. Geosci. Remote. Sens., 2016

Considering multi-viewing directions to improve precipitation retrieval performance from off-nadir viewing passive microwave radiometers.

Dong-Bin Shin, Yeji Choi

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016