Taewon Jeong

According to our database, Taewon Jeong authored at least 7 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

DNN-Based Estimation for Misalignment State of Automotive Radar Sensor.

Junho Kim, Taewon Jeong, Seongwook Lee

Sensors, July, 2023

Resource-Efficient Range-Doppler Map Generation Using Deep Learning Network for Automotive Radar Systems.

Taewon Jeong, Seongwook Lee

IEEE Access, 2023

Determining Misalignment State of Automotive Radar Sensor Using DNN.

Junho Kim, Chanul Park, Seongwook Lee, Taewon Jeong

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

2021

Objective Bound Conditional Gaussian Process for Bayesian Optimization.

Taewon Jeong, Heeyoung Kim

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

A Bayesian Nonparametric Mixture Measurement Error Model With Application to Spatial Density Estimation Using Mobile Positioning Data With Multi-Accuracy and Multi-Coverage.

Youngmin Lee, Taewon Jeong, Heeyoung Kim

Technometrics, 2020

OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification.

Taewon Jeong, Heeyoung Kim

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Ladder Capsule Network.

Taewon Jeong, Youngmin Lee, Heeyoung Kim

Proceedings of the 36th International Conference on Machine Learning, 2019