Physiological Fusion Net: Quantifying Individual VR Sickness with Content Stimulus and Physiological Response. - Sangmin Lee 001; Seongyeop Kim; Hak Gu Kim; Min Seob Kim; Seokho Yun; Bumseok Jeong; Yong Man Ro (ICIP, 2019)

SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-Based Symptom Relation Embedding. - Sangmin Lee 001; Jung Uk Kim; Hak Gu Kim; Seongyeop Kim; Yong Man Ro (ECCV (23), 2020)

Estimating VR Sickness Caused By Camera Shake in VR Videography. - Seongyeop Kim; Sangmin Lee 001; Yong Man Ro (ICIP, 2020)

Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents. - Hak Gu Kim; Sangmin Lee 001; Seongyeop Kim; Heoun-taek Lim; Yong Man Ro (AAAI, 2021)

Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images. - Hak Gu Kim; Minho Park 002; Sangmin Lee 001; Seongyeop Kim; Yong Man Ro (AAAI, 2021)

M-CAM: Visual Explanation of Challenging Conditioned Dataset with Bias-reducing Memory. - Seongyeop Kim; Yong Man Ro (BMVC, 2021)

Assessing Individual VR Sickness Through Deep Feature Fusion of VR Video and Physiological Response. - Sangmin Lee 001; Seongyeop Kim; Hak Gu Kim; Yong Man Ro (IEEE Trans. Circuits Syst. Video Technol., 2022)

Robust Perturbation for Visual Explanation: Cross-Checking Mask Optimization to Avoid Class Distortion. - Junho Kim; Seongyeop Kim; Seong Tae Kim 001; Yong Man Ro (IEEE Trans. Image Process., 2022)

Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge. - Seongyeop Kim; Hyung-Il Kim; Yong Man Ro (AAAI, 2024)

5G Positioning Performance Analysis with 3GPP Macro Cell Environment. - Seongyeop Kim; Hongseok Jung; Sunwoo Kim 001 (ICTC, 2024)

5G Localization with Blockage Detection Based on Beam RSRP Patterns in Urban Environment. - Seongyeop Kim; Hongseok Jung; Duhui Yang; Sunwoo Kim (ICAIIC, 2025)