Sungjun Hong

According to our database, Sungjun Hong authored at least 20 papers between 2007 and 2026.

Collaborative distances:

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

2026

Domain Transfer of Generative AI for Estimating Electrophysiological Changes Through Hemodynamic Variations in Optical Blood Flow: Potential and Performance Evaluation Methodology.

Sanghoon Choi, Sungjun Hong, Hyo-Chang Seo

IEEE Access, 2026

2025

Development and Validation of Pneumonia Patients Prognosis Prediction Model in Emergency Department Disposition Time.

Sunjin Hwang, Sejin Heo, Sungjun Hong, Won Chul Cha, Junsang Yoo

Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

Making Mamba Vision Temporal: Leveraging TSM for Efficient Video Understanding.

Seung Woo Kwak, Sungjun Hong, Sangyun Lee

Proceedings of the International Conference on Electronics, Information, and Communication, 2025

2024

Making TSM better: Preserving foundational philosophy for efficient action recognition.

Seok Ryu, Sungjun Hong, Sangyun Lee

ICT Express, 2024

2022

Extended Siamese Convolutional Neural Networks for Discriminative Feature Learning.

Sangyun Lee, Sungjun Hong

Int. J. Fuzzy Log. Intell. Syst., December, 2022

2021

Novel On-Road Vehicle Detection System Using Multi-Stage Convolutional Neural Network.

Jisu Kim, Sungjun Hong, Euntai Kim

IEEE Access, 2021

2017

Efficient Pedestrian Detection at Nighttime Using a Thermal Camera.

Jeonghyun Baek, Sungjun Hong, Jisu Kim, Euntai Kim

Sensors, 2017

A New Automatic Gait Cycle Partitioning Method and Its Application to Human Identification.

Sungjun Hong, Euntai Kim

Int. J. Fuzzy Log. Intell. Syst., 2017

2016

Bayesian learning of a search region for pedestrian detection.

Jeonghyun Baek, Sungjun Hong, Jisu Kim, Euntai Kim

Multim. Tools Appl., 2016

Sensitivity Analysis of Width Representation for Gait Recognition.

Sungjun Hong, Euntai Kim

Int. J. Fuzzy Log. Intell. Syst., 2016

2013

Probabilistic gait modelling and recognition.

Sungjun Hong, Heesung Lee, Euntai Kim

IET Comput. Vis., 2013

2011

Probabilistic Background Subtraction in a Video-based Recognition System.

Heesung Lee, Sungjun Hong, Euntai Kim

KSII Trans. Internet Inf. Syst., 2011

2010

An efficient design of a nearest neighbor classifier for various-scale problems.

Heesung Lee, Sungjun Hong, Imran Fareed Nizami, Euntai Kim

Pattern Recognit. Lett., 2010

Automatic gait recognition based on probabilistic approach.

Imran Fareed Nizami, Sungjun Hong, Heesung Lee, Byungyun Lee, Euntai Kim

Int. J. Imaging Syst. Technol., 2010

2009

Neural network ensemble with probabilistic fusion and its application to gait recognition.

Heesung Lee, Sungjun Hong, Euntai Kim

Neurocomputing, 2009

A new genetic feature selection with neural network ensemble.

Heesung Lee, Sungjun Hong, Euntai Kim

Int. J. Comput. Math., 2009

A new probabilistic fuzzy model: Fuzzification-Maximization (FM) approach.

Sungjun Hong, Heesung Lee, Euntai Kim

Int. J. Approx. Reason., 2009

An Efficient Gait Recognition with Backpack Removal.

Heesung Lee, Sungjun Hong, Euntai Kim

EURASIP J. Adv. Signal Process., 2009

2008

An efficient gait recognition based on a selective neural network ensemble.

Heesung Lee, Sungjun Hong, Euntai Kim

Int. J. Imaging Syst. Technol., 2008

2007

Robust Camera Calibration using TSK Fuzzy Modeling.

Heesung Lee, Sungjun Hong, Eun-Tai Kim

Int. J. Fuzzy Log. Intell. Syst., 2007