Jaebok Park

According to our database, Jaebok Park authored at least 13 papers between 2004 and 2023.

Collaborative distances:

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

2023

A Method on Neural Network Optimization Deployment Frameworks for Lightweight Target Devices.

Jaebok Park, Changsik Cho, Kyunghee Lee, Jiyoung Kwak

Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

Neural Network Model Transformation Framework for On-Devices.

Kyung Hee Lee, Ji-Young Kwak, Jaebok Park, Hong Soog Kim, Seon-Tae Kim, Chang-Sik Cho

Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

2022

Deployment Framework Design Techniques for Optimized Neural Network Applications.

Jaebok Park, Kyung-Hee Lee, Ji-Young Kwak, Chang-Sik Cho

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Design of Neural Network Model Converting Framework based on NNEF.

Kyung-Hee Lee, Jaebok Park, Seon-Tae Kim, Ji-Young Kwak, Chang-Sik Cho

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

2021

Design of NNEF-PyTorch Neural Network Model Converter.

Kyung-Hee Lee, Jaebok Park, Seon-Tae Kim, Ji-Young Kwak, Chang-Sik Cho

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

2020

An Implementation of NNEF-Darknet Neural Network Model Converter.

KyungHee Lee, Jaebok Park, Seung-mok Yoo, Seok Jin Yoon, Chang-Sik Cho

Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

2019

Structure of Deep Learning Inference Engines for Embedded Systems.

Seung-mok Yoo, Chang-Sik Cho, KyungHee Lee, Jaebok Park, Seok Jin, Young-Woon Lee, Byung-Gyu Kim

Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019

2018

Neural Network Syntax Analyzer for Embedded Standardized Deep Learning.

Myungjae Shin, Joongheon Kim, Aziz Mohaisen, Jaebok Park, KyungHee Lee

Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning, 2018

2008

An Efficient Mobile Object Tracking Method based on Dynamic Clustering in Sensor Network.

Jaebok Park, Yoonhwan Park, Seunghae Kim, Gihwan Cho

Proceedings of the 2008 International Conference on Wireless Networks, 2008

2007

Automatic Power Model Generation for Sensor Network Simulator.

Jaebok Park, Hyunwoo Joe, Hyungshin Kim

Proceedings of the Embedded Software and Systems, [Third] International Conference, 2007

2005

Addressing complexity using distributed simulation: a case study in Spaceport modeling.

Jaebok Park, Reinaldo J. Moraga, Luis Rabelo, Jeffrey W. Dawson, Mario Marin, José A. Sepúlveda

Proceedings of the 37th Winter Simulation Conference, Orlando, FL, USA, December 4-7, 2005, 2005

2004

Implementing the High Level Architecture in the Virtual Test Bed.

José A. Sepúlveda, Luis C. Rabelo, Jaebok Park, Frank Riddick, Cary J. Peaden

Proceedings of the 36th conference on Winter simulation, 2004

Factors Affecting the Expectation of Casualties in the Virtual Range Toxicity Model.

José A. Sepúlveda, Luis C. Rabelo, Jaebok Park, Fred Gruber, Oscar Martínez Bonastre

Proceedings of the 36th conference on Winter simulation, 2004