Sejin Lee

According to our database, Sejin Lee authored at least 14 papers between 2014 and 2024.

Collaborative distances:

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

2024

Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot.

Sejin Lee, Dongha Kim, Min Song

CoRR, 2024

Segmentation of Respiratory Bubbles in Underwater Diver Image Using Pixel Coordinate Information and K-Means Clustering.

Mingyu Jeon, Sejin Lee

Proceedings of the 21st International Conference on Ubiquitous Robots, 2024

2022

Calibration of BRDF Based on the Field Goniometer System Using a UAV Multispectral Camera.

Minji Kim, Cheonggil Jin, Sejin Lee, Kyoung-Min Kim, Joongbin Lim, Chuluong Choi

Sensors, 2022

Development of Vehicle Detection Method on Water Surface Using LiDAR Data for Situation Awareness.

Eon-Ho Lee, Hyeon Jun Jeon, Jinwoo Choi, Hyun-Taek Choi, Sejin Lee

Proceedings of the 19th International Conference on Ubiquitous Robots, 2022

SPI(Spherical Point Indicator) : Point Feature Image Generation for Point-wise Classification and Dynamic Object Removal.

Chulhee Bae, Yu-Cheol Lee, Wonpil Yu, Sejin Lee

Proceedings of the 19th International Conference on Ubiquitous Robots, 2022

2021

Spherically Stratified Point Projection: Feature Image Generation for Object Classification Using 3D LiDAR Data.

Chulhee Bae, Yu-Cheol Lee, Wonpil Yu, Sejin Lee

Sensors, 2021

2020

Study on the Classification Performance of Underwater Sonar Image Classification Based on Convolutional Neural Networks for Detecting a Submerged Human Body.

Huu-Thu Nguyen, Eon-Ho Lee, Sejin Lee

Sensors, 2020

Multiple Object Detection Based on Clustering and Deep Learning Methods.

Huu-Thu Nguyen, Eon-Ho Lee, Chulhee Bae, Sejin Lee

Sensors, 2020

2019

A Deep Learning based Submerged Body Classification Using Underwater Imaging Sonar.

Sejin Lee, Byungjae Park, Ayoung Kim

Proceedings of the 16th International Conference on Ubiquitous Robots, 2019

2018

Deep Learning from Shallow Dives: Sonar Image Generation and Training for Underwater Object Detection.

Sejin Lee, Byungjae Park, Ayoung Kim

CoRR, 2018

Object Recognition Using Deep Belief Nets with Spherical Signature Descriptor of 3DPoint Cloud Data for Extended Kalman Filter based Simultaneous Localization and Mapping.

Chulhee Bae, Sejin Lee

Proceedings of the 15th International Conference on Ubiquitous Robots, 2018

2017

A New Comprehensive RSU Installation Strategy for Cost-Efficient VANET Deployment.

Donghyun Kim, Yesenia Velasco, Wei Wang, R. N. Uma, Rasheed Hussain, Sejin Lee

IEEE Trans. Veh. Technol., 2017

2016

Development of underwater terrain's depth map representation method based on occupancy grids with 3D point cloud from polar sonar sensor system.

Eon-Ho Lee, Sejin Lee

Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016

2014

Trade-off between Service Granularity and User Privacy in Smart Meter Operation.

Junggab Son, Donghyun Kim, Sejin Lee, Heekuck Oh, Alade O. Tokuta, Hayk M. Melikyan

Proceedings of the 10th International Conference on Mobile Ad-hoc and Sensor Networks, 2014