Do-Won Nam

23 papers C 1Journal 2Unranked 20
YearRankTypeTitle / Venue / Authors
2025 — conf
Developing an Automated Synthetic Korean Painting Dataset Generation System for AI Training.
ICACT
Sungwon Moon, Jiwon Lee, Do-Won Nam
2024 — conf
Comparison of Image-Based Cultural Heritage Recognition Techniques: Few-Shot Learning vs. Image Retrieval.
ICTC
Jiwon Lee, Sung-Won Moon, Do-Won Nam
2023 — conf
A Study on Few-shot Object Detection for Warships Based on Data Generation Using Image Outpainting.
ICTC
Sung-Won Moon, Do-Won Nam, Jiwon Lee, Wonyoung Yoo, Jungsoo Lee
2023 — conf
A Study on Military Object Detection in Panoramic View Using Stable Diffusion.
ICTC
Jiwon Lee, Sung-Won Moon, Do-Won Nam
2022 — conf
A Study on NeRF-based Synthetic Image Generation and Post-processing Method for Object Detection.
ICTC
Sung-Won Moon, Jiwon Lee, Jungsoo Lee, Do-Won Nam, Wonyoung Yoo
2021 — conf
A Study on American Football Player Tracking Based on Video Through Deep Learning and GPS Convergence.
ICTC
Jungsoo Lee, Sung-Won Moon, Do-Won Nam, Ji Won Lee, Ah Reum Oh, Wonyoung Yoo
2021 — conf
A Study on the Improvement of Fine-grained Ship Classification through Data Augmentation Using Generative Adversarial Networks.
ICTC
Sung-Won Moon, Ji Won Lee, Jungsoo Lee, Ah Reum Oh, Do-Won Nam, Won-young Yoo
2021 — conf
A study on the application of knowledge distillation in ship type classification model development.
ICTC
Ji Won Lee, Sung-Won Moon, Do-Won Nam, Jungsoo Lee, Ah Reum Oh, Won-young Yoo
2021 — conf
On Constructing Vessel Dataset Structure Using GAN-based Data Augmentation.
ICTC
Ah Reum Oh, Ji Won Lee, Sung-Won Moon, Jungsoo Lee, Do-Won Nam, Won-young Yoo
2020 — conf
A Comparative Study on the Maritime Object Detection Performance of Deep Learning Models.
ICTC
Sung-Won Moon, Ji Won Lee, Jungsoo Lee, Do-Won Nam, Won-young Yoo
2020 — conf
A Study on Sports Player Tracking based on Video using Deep Learning.
ICTC
Jungsoo Lee, Sung-Won Moon, Do-Won Nam, Ji Won Lee, Ah Reum Oh, Won-young Yoo
2020 — conf
A Study on the Composition of Image-Based Ship-type/class Identification System.
ICACT
Ji Won Lee, Do-Won Nam, Jungsoo Lee, Sung-Won Moon, Arum Oh, Wonyoung Yoo
2020 — conf
A Study on the Identification of Warship Type/Class by Measuring Similarity with Virtual Warship.
ICTC
Ji Won Lee, Sung-Won Moon, Do-Won Nam, Jungsoo Lee, Ah Reum Oh, Won-young Yoo
2020 — conf
Multi-object tracking system using dissimilar apparatus in video sequence.
ICTC
Ah Reum Oh, Ji Won Lee, Jungsoo Lee, Sung-Won Moon, Do-Won Nam, Won-young Yoo
2019 — conf
A Comparative Study on the Ship Classification Performance of the Deep Learning Model According to Dataset Difference.
ICTC
Sung-Won Moon, Yoonhyung Kim, Do-Won Nam, Won-young Yoo, Changick Kim
2018 — conf
3D convolutional neural networks for soccer object motion recognition.
ICACT
Ji Won Lee, Yoonhyung Kim, Minki Jeong, Changick Kim, Do-Won Nam, Jungsoo Lee, Sung-Won Moon, Wonyoung Yoo
2018 — conf
A comparative study on preprocessing methods for object tracking in sports events.
ICACT
Sung-Won Moon, Ji Won Lee, Do-Won Nam, Wonyoung Yoo, Wonjun Kim
2018 — conf
Basketball event recognition technique using Deterministic Finite Automata(DFA).
ICACT
Jungsoo Lee, Ji Won Lee, Sung-Won Moon, Do-Won Nam, Wonyoung Yoo
2018 J jnl
Multiple player tracking in soccer videos: an adaptive multiscale sampling approach.
Multim. Syst.
Wonjun Kim, Sung-Won Moon, Ji Won Lee, Do-Won Nam, Chanho Jung
2018 — conf
Soccer object motion recognition based on 3D convolutional neural networks.
FedCSIS (Communication Papers)
Ji Won Lee, Do-Won Nam, Won-young Yoo, Yoonhyung Kim, Minki Jeong, Changick Kim
2017 C conf
Soccer Event Recognition Technique based on Pattern Matching.
FedCSIS
Ji Won Lee, Do-Won Nam, Sung-Won Moon, Jungsoo Lee, Won-young Yoo
2016 J jnl
Revisiting the Regression between Raw Outputs of Image Quality Metrics and Ground Truth Measurements.
IEICE Trans. Inf. Syst.
Chanho Jung, Sanghyun Joo, Do-Won Nam, Wonjun Kim
1997 — conf
Discovery and Application of Inter-Classes Patterns in Database.
DEXA Workshop
Dong-Ha Lee, Dong-Yal Seo, Kang-Sik Moon, Jisook Chang, Do-Won Nam, Jeon-Yong Lee