Making Them Dance. - Jae Woo Kim; Hesham Fouad; James K. Hahn (AAAI Fall Symposium: Aurally Informed Performance, 2006)

Perceptually motivated automatic dance motion generation for music. - Jae Woo Kim; Hesham Fouad; John L. Sibert; James K. Hahn (Comput. Animat. Virtual Worlds, 2009)

Makeup color reproduction based on spectrum data. - In-Su Jang; Jae Woo Kim; Jin-Seo Kim (FCV, 2013)

Real-time video photomosaics with optimized image set and GPU. - Yoon-Seok Choi; Soonchul Jung; Jae Woo Kim; Bon-Ki Koo (J. Real Time Image Process., 2014)

X-Top: An interactive exhibition for building experience with mini-components of stone pagoda. - Kyung-Kyu Kang; JiHyung Lee; Chang Joon Park; Jae Woo Kim; Man Hee Lee (DigitalHERITAGE (1), 2015)

Time-based database for creation of Korean traditional wooden building. - Jongwook Lee; JiHyung Lee; Jae Woo Kim; Kyung-Kyu Kang; Man Hee Lee; Boncheol Goo (Digital Heritage, 2015)

Finding an Optimal LEGO® Brick Layout of Voxelized 3D Object Using a Genetic Algorithm. - Sangyeop Lee; Jinhyun Kim; Jae Woo Kim; Byung-Ro Moon (GECCO, 2015)

A novel genetic algorithm for autonomous assembly of structural LEGO bricks. - Seung-Mok Lee; Kwangyik Jung; Jae Woo Kim; Hyun Myung (URAI, 2015)

3D stencil face relievo making system. - Yoon-Seok Choi; Soonchul Jung; Jae Woo Kim; Jin-Seo Kim (SIGGRAPH Asia Posters, 2016)

Plenoptic image segmentation with region-based graph cut approach. - Seongjin Park; DoHyung Kim; Seong-Jun Bae; Jae Woo Kim; Ho Wook Jang (GCCE, 2017)

Performance Evaluation of Maritime VDES Networks with OPNET Simulator. - Kyoung Min Kim; Yunmin Kim; Youngil Cho; Kwanyoung Moon; Tae-Jin Lee 001; Seunghyun Choi; Jae Woo Kim (CSNDSP, 2018)

Split-and-Merge-Based Genetic Algorithm (SM-GA) for LEGO Brick Sculpture Optimization. - Seung-Mok Lee; Jae Woo Kim; Hyun Myung (IEEE Access, 2018)

Multisensory Capture System for the Preservation of Traditional Painting. - Soonchul Jung; Taewon Choi; Yoon-Seok Choi; In-Su Jang; Jae Woo Kim; Jin-Seo Kim (ICACT, 2019)

Content-Aware Focal Plane Selection and Proposals for Object Tracking on Plenoptic Image Sequences. - Dae Hyun Bae; Jae Woo Kim; Jae-Pil Heo (Sensors, 2019)

Object Detection in Artworks Using Data Augmentation. - Hyeong-Ju Jeon; Soonchul Jung; Yoon-Seok Choi; Jae Woo Kim; Jin-Seo Kim (ICTC, 2020)

Generative Adversarial Network for Identifying Authors of Traced Images. - Soonchul Jung; Jae Woo Kim; Yoon-Seok Choi; Hyeong-Ju Jeon; Jin-Seo Kim (ICTC, 2020)

Convolutional Neural Network for Implementing a 2D Median Filter. - Soonchul Jung; Jae Woo Kim; Yoon-Seok Choi; Hyeong-Ju Jeon; Jin-Seo Kim (ICTC, 2021)

Synthesizing a Reference Image from the Macro Images of a Painting for Vignetting Correction. - Soonchul Jung; Jae Woo Kim; Yoon-Seok Choi; Hyeong-Ju Jeon; Jin-Seo Kim (CSCI, 2022)

Efficient Analytical Data Processing and Visualization Methods for Supporting Scientific Connoisseurship on Oil Paintings. - Yoon-Seok Choi; Jae Woo Kim; Soonchul Jung; Hyeong-Ju Jeon; Jin-Seo Kim (ICTC, 2022)

A Deep Learning Approach Based on Image Patch Sets for Art Forgery Detection. - Soonchul Jung; Jae Woo Kim; Jin-Seo Kim; Yoon-Seok Choi (ICTC, 2023)

Local Attention Neural Network for Median Filtering: Enhancing Nonlinear Local Operations. - Soonchul Jung; Jae Woo Kim; Yoon-Seok Choi; Jin-Seo Kim (ICTC, 2024)