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ORCIDJae Woo Kim
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2020 – today
- 2023
[c16]Soonchul Jung, Jae Woo Kim, Jin-Seo Kim, Yoon-Seok Choi:
A Deep Learning Approach Based on Image Patch Sets for Art Forgery Detection. ICTC 2023: 1828-1831- 2022
- [c15]Soonchul Jung, Jae Woo Kim, Yoon-Seok Choi, Hyeong-Ju Jeon, Jin-Seo Kim:
Synthesizing a Reference Image from the Macro Images of a Painting for Vignetting Correction. CSCI 2022: 1563-1565 - [c14]Yoon-Seok Choi, Jae Woo Kim, Soonchul Jung, Hyeong-Ju Jeon, Jin-Seo Kim:
Efficient Analytical Data Processing and Visualization Methods for Supporting Scientific Connoisseurship on Oil Paintings. ICTC 2022: 2373-2376 - 2021
- [c13]Soonchul Jung, Jae Woo Kim, Yoon-Seok Choi, Hyeong-Ju Jeon, Jin-Seo Kim:
Convolutional Neural Network for Implementing a 2D Median Filter. ICTC 2021: 290-292 - 2020
- [c12]Soonchul Jung, Jae Woo Kim, Yoon-Seok Choi, Hyeong-Ju Jeon, Jin-Seo Kim:
Generative Adversarial Network for Identifying Authors of Traced Images. ICTC 2020: 1299-1302 - [c11]Hyeong-Ju Jeon, Soonchul Jung, Yoon-Seok Choi, Jae Woo Kim, Jin-Seo Kim:
Object Detection in Artworks Using Data Augmentation. ICTC 2020: 1312-1314
2010 – 2019
- 2019
- [j4]Dae Hyun Bae, Jae Woo Kim, Jae-Pil Heo:
Content-Aware Focal Plane Selection and Proposals for Object Tracking on Plenoptic Image Sequences. Sensors 19(1): 48 (2019) - [c10]Soonchul Jung
, Taewon Choi, Yoon-Seok Choi, In-Su Jang, Jae Woo Kim, Jin-Seo Kim:
Multisensory Capture System for the Preservation of Traditional Painting. ICACT 2019: 467-470 - 2018
- [j3]Seung-Mok Lee, Jae Woo Kim, Hyun Myung:
Split-and-Merge-Based Genetic Algorithm (SM-GA) for LEGO Brick Sculpture Optimization. IEEE Access 6: 40429-40438 (2018) - [c9]Kyoung Min Kim, Yunmin Kim, Youngil Cho, Kwanyoung Moon, Tae-Jin Lee, Seunghyun Choi, Jae Woo Kim:
Performance Evaluation of Maritime VDES Networks with OPNET Simulator. CSNDSP 2018: 1-6 - 2017
- [c8]Seongjin Park, DoHyung Kim, Seong-Jun Bae, Jae Woo Kim, Ho Wook Jang:
Plenoptic image segmentation with region-based graph cut approach. GCCE 2017: 1-2 - 2016
- [c7]Yoon-Seok Choi, Soonchul Jung, Jae Woo Kim, Jin-Seo Kim:
3D stencil face relievo making system. SIGGRAPH Asia Posters 2016: 40 - 2015
- [c6]Jongwook Lee, JiHyung Lee, Jae Woo Kim, Kyung-Kyu Kang, Man Hee Lee, Boncheol Goo:
Time-based database for creation of Korean traditional wooden building. Digital Heritage 2015: 213-214 - [c5]Kyung-Kyu Kang, JiHyung Lee, Chang Joon Park, Jae Woo Kim, Man Hee Lee:
X-Top: An interactive exhibition for building experience with mini-components of stone pagoda. DigitalHERITAGE (1) 2015: 423-424 - [c4]Sangyeop Lee, Jinhyun Kim, Jae Woo Kim, Byung-Ro Moon:
Finding an Optimal LEGO® Brick Layout of Voxelized 3D Object Using a Genetic Algorithm. GECCO 2015: 1215-1222 - [c3]Seung-Mok Lee, Kwangyik Jung, Jae Woo Kim, Hyun Myung:
A novel genetic algorithm for autonomous assembly of structural LEGO bricks. URAI 2015: 151-152 - 2014
- [j2]Yoon-Seok Choi, Soonchul Jung, Jae Woo Kim, Bon-Ki Koo:
Real-time video photomosaics with optimized image set and GPU. J. Real Time Image Process. 9(3): 569-578 (2014) - 2013
- [c2]In-Su Jang, Jae Woo Kim, Jin-Seo Kim:
Makeup color reproduction based on spectrum data. FCV 2013: 233-236
2000 – 2009
- 2009
- [j1]Jae Woo Kim, Hesham Fouad, John L. Sibert, James K. Hahn:
Perceptually motivated automatic dance motion generation for music. Comput. Animat. Virtual Worlds 20(2-3): 375-384 (2009) - 2006
- [c1]Jae Woo Kim, Hesham Fouad, James K. Hahn:
Making Them Dance. AAAI Fall Symposium: Aurally Informed Performance 2006: 33-37
Coauthor Index
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