Sejin Lee

发表

Multiple Object Detection Based on Clustering and Deep Learning Methods

Huu Thu Nguyen, Eon-Ho Lee, Chul Hee Bae, 2020, Sensors.

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

Donghyun Kim, Wei Wang, Sejin Lee, 2017, IEEE Transactions on Vehicular Technology.

Deep learning of submerged body images from 2D sonar sensor based on convolutional neural network

Sejin Lee, 2017, 2017 IEEE Underwater Technology (UT).

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

Donghyun Kim, Alade O. Tokuta, Sejin Lee, 2014, 2014 10th International Conference on Mobile Ad-hoc and Sensor Networks.

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

Eon-Ho Lee, Sejin Lee, Huu-Thu Nguyen, 2019, Sensors.

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

Sejin Lee, Ayoung Kim, Byungjae Park, 2018, ArXiv.

Preliminary Study of Binarization Method for Obstacle Detection in Underwater Sonar Image via Gabor Filter Parameter Design

Sejin Lee, Sunwoong Paik, 2020, 2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV)(50043).

Development of Modified Spherical Signature Descriptor for Robust Object Recognition Using 3D Point Cloud Data via CNN

Sejin Lee, Eonho Lee, 2017, 2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).

Spherical Signature Description of Environmental Feature Learning b a3seDd Pooni nDt eCelpo uBde alinedf Nets for Urban Structure Classification

Sejin Lee, Donghyun Kim, Sejin Lee, 2016 .

A Deep Learning based Submerged Body Classification Using Underwater Imaging Sonar

Sejin Lee, Byungjae Park, Ayoung Kim, 2019, 2019 16th International Conference on Ubiquitous Robots (UR).

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

Sejin Lee, Eon-ho Lee, 2016, 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).

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

Sejin Lee, Chulhee Bae, 2018, 2018 15th International Conference on Ubiquitous Robots (UR).

Study on the Training Effectiveness of Deep Learning with Synthesized Underwater Sonar Image Using Pix2Pix and FCN

Sejin Lee, Hyesu Jang, Ayoung Kim, 2020, 2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV)(50043).

Special issue on recent advancements in simultaneous localization and mapping (SLAM) and its applications

Sejin Lee, Soon-Yong Park, Jong-Il Park, 2021, ETRI Journal.

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

Sejin Lee, Yu-Cheol Lee, Wonpil Yu, 2021, Italian National Conference on Sensors.

Development of Advanced Sonar Sensor Model for Underwater Terrain Mapping based on Occupancy Grids

Alade O. Tokuta, Sejin Lee, Donghyun Kim, 2015 .

Development of Underwater Terrain Map Building Method on Polar Coordinates by Using 3 D Sonar Point Clouds

Sejin Lee, Eon-ho Lee, 2016 .