| Assessing Individual VR Sickness through Deep Feature Fusion of VR Video and Physiological Response S Lee, S Kim, HG Kim, YM Ro IEEE Transactions on Circuits and Systems for Video Technology, 2021 | 19 | 2021 |
| Physiological fusion net: Quantifying individual vr sickness with content stimulus and physiological response S Lee, S Kim, HG Kim, MS Kim, S Yun, B Jeong, YM Ro 2019 IEEE International Conference on Image Processing (ICIP), 440-444, 2019 | 15 | 2019 |
| Estimating VR Sickness Caused By Camera Shake in VR Videography S Kim, S Lee, YM Ro 2020 IEEE International Conference on Image Processing (ICIP), 3433-3437, 2020 | 9 | 2020 |
| Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images HG Kim, M Park, S Lee, S Kim, YM Ro Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1762-1770, 2021 | 8 | 2021 |
| Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents HG Kim, S Lee, S Kim, H Lim, YM Ro arXiv preprint arXiv:2104.06780, 2021 | 8 | 2021 |
| Robust Perturbation for Visual Explanation: Cross-Checking Mask Optimization to Avoid Class Distortion J Kim, S Kim, ST Kim, YM Ro IEEE Transactions on Image Processing 31, 301-313, 2021 | 6 | 2021 |
| SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-based Symptom Relation Embedding S Lee, JU Kim, HG Kim, S Kim, YM Ro European Conference on Computer Vision, 170-186, 2020 | 6 | 2020 |
| M-CAM: Visual Explanation of Challenging Conditioned Dataset with Bias-reducing Memory S Kim, YM Ro The 32nd British Machine Vision Conference, BMVC 2021, 2021 | 1 | 2021 |
