Reduction of Video Compression Artifacts Based on Deep Temporal Networks. - Jae Woong Soh; Jaewoo Park 005; Yoonsik Kim; Byeongyong Ahn; Hyun-Seung Lee; Young-Su Moon; Nam Ik Cho (IEEE Access, 2018)

PuVAE: A Variational Autoencoder to Purify Adversarial Examples. - Uiwon Hwang; Jaewoo Park 005; Hyemi Jang; Sungroh Yoon; Nam Ik Cho (IEEE Access, 2019)

Recognition of Assembly Instructions Based on Geometric Feature and Text Recognition. - Jaewoo Park 005; Isaac Kang; Junhyeong Kwon; Eunji Lee; Yoonsik Kim; Sujeong You; Sang Hoon Ji; Nam Ik Cho (UR, 2020)

Multi-Lingual Optical Character Recognition System Using the Reinforcement Learning of Character Segmenter. - Jaewoo Park 005; Eunji Lee; Yoonsik Kim; Isaac Kang; Hyung Il Koo; Nam Ik Cho (IEEE Access, 2020)

A Pseudo-Blind Convolutional Neural Network for the Reduction of Compression Artifacts. - Yoonsik Kim; Jae Woong Soh; Jaewoo Park 005; Byeongyong Ahn; Hyun-Seung Lee; Young-Su Moon; Nam Ik Cho (IEEE Trans. Circuits Syst. Video Technol., 2020)

Multistage Probabilistic Approach for the Localization of Cephalometric Landmarks. - Hyuk Jin Kwon; Hyung Il Koo; Jaewoo Park 005; Nam Ik Cho (IEEE Access, 2021)

DProST: 6-DoF Object Pose Estimation Using Space Carving and Dynamic Projective Spatial Transformer. - Jaewoo Park 005; Nam Ik Cho (CoRR, 2021)

DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation. - Jaewoo Park 005; Nam Ik Cho (ECCV (6), 2022)

Deep-learning and graph-based approach to table structure recognition. - Eunji Lee; Jaewoo Park 005; Hyung Il Koo; Nam Ik Cho (Multim. Tools Appl., 2022)

Multi-Reference Flow-Guided Cross-Domain Reconstruction For General Object 6D Pose Estimation. - Jaewoo Park 005; Jaeguk Kim; Nam Ik Cho (ICIP, 2024)

Leveraging Positional Encoding for Robust Multi-Reference-Based Object 6D Pose Estimation. - Jaewoo Park 005; Jaeguk Kim; Nam Ik Cho (CoRR, 2024)

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects. - Jaeguk Kim; Jaewoo Park 005; Keuntek Lee; Nam Ik Cho (CVPR, 2025)