GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data. - Seongwook Yoon; Sanghoon Sull (CVPR, 2020)

Transfer Learning using Transformation: Is Large Unlabeled Data Helpful at Segmentation? - Heejeong Lim; Seongwook Yoon; Sanghoon Sull (ICTC, 2020)

Depth estimation from stereo cameras through a curved transparent medium. - Seongwook Yoon; Taehyeon Choi; Sanghoon Sull (Pattern Recognit. Lett., 2020)

Deep 6-DOF Head Motion Prediction for Latency in Lightweight Augmented Reality Glasses. - Seongwook Yoon; Heejeong Lim; Jae Hyun Kim; Hong-Seok Lee; Yun-Tae Kim; Sanghoon Sull (ICCE, 2022)

Controllable Missingness from Uncontrollable Missingness: Joint Learning Measurement Policy and Imputation. - Seongwook Yoon; Jaehyun Kim; Heejeong Lim; Sanghoon Sull (CoRR, 2022)

Vision System of Curling Robots: Thrower and Skip. - Seongwook Yoon; Gayoung Kim; Myungpyo Hong; Sanghoon Sull (CoRR, 2022)

Inertial Guided Uncertainty Estimation of Feature Correspondence in Visual-Inertial Odometry/SLAM. - Seongwook Yoon; Jaehyun Kim; Sanghoon Sull (CoRR, 2023)

Noniterative Generalized Camera Model for Near-Central Camera System. - Taehyeon Choi; Seongwook Yoon; Jaehyun Kim; Sanghoon Sull (Sensors, 2023)

Unsupervised Video Anomaly Detection Based on Similarity with Predefined Text Descriptions. - Jaehyun Kim; Seongwook Yoon; Taehyeon Choi; Sanghoon Sull (Sensors, 2023)

RBF-Based Camera Model Based on a Ray Constraint to Compensate for Refraction Error. - Jaehyun Kim; Chanyoung Kim; Seongwook Yoon; Taehyeon Choi; Sanghoon Sull (Sensors, 2023)