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Published in ICIP, 2019
Recommended citation: Lee, S., Kim, S., Kim, H. G., Kim, M. S., Yun, S., Jeong, B., & Ro, Y. M. (2019, September). Physiological fusion net: Quantifying individual vr sickness with content stimulus and physiological response. In 2019 IEEE International Conference on Image Processing (ICIP) (pp. 440-444). IEEE.
Published in ICIP, 2020
Recommended citation: Kim, S., Lee, S., & Ro, Y. M. (2020, October). Estimating VR Sickness Caused By Camera Shake in VR Videography. In 2020 IEEE International Conference on Image Processing (ICIP) (pp. 3433-3437). IEEE.
Published in ECCV, 2020
Recommended citation: Lee, S., Kim, J. U., Kim, H. G., Kim, S., & Ro, Y. M. (2020, August). SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-based Symptom Relation Embedding. In European Conference on Computer Vision (pp. 170-186). Springer, Cham.
Published in AAAI, 2021
Recommended citation: Kim, H. G., Lee, S., Kim, S., Lim, H. T., & Ro, Y. M. (2021). Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents. arXiv preprint arXiv:2104.06780.
Published in AAAI, 2021
Recommended citation: Kim, H. G., Park, M., Lee, S., Kim, S., & Ro, Y. M. (2021). Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images. arXiv preprint arXiv:2104.06782.
Published in Transactions on Circuits and Systems for Video Technology (TCSVT), 2021
Recommended citation: Lee, S., Kim, S., Kim, H. G., & Ro, Y. M. (2021). Assessing Individual VR Sickness through Deep Feature Fusion of VR Video and Physiological Response. IEEE Transactions on Circuits and Systems for Video Technology.
Published in BMVC, 2021
Recommended citation: Kim, S., & Ro, Y. M. (2021, November). M-CAM: Visual Explanation of Challenging Conditioned Dataset with Bias-reducing Memory. In The 32nd British Machine Vision Conference, BMVC 2021. British Machine Vision Association (BMVA).
Published in Transactions on Image Processing (TIP), 2021
Recommended citation: Kim, J., Kim, S., Kim, S. T., & Ro, Y. M. (2021). Robust Perturbation for Visual Explanation: Cross-Checking Mask Optimization to Avoid Class Distortion. IEEE Transactions on Image Processing, 31, 301-313.
Published in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024, 2024
Recommended citation: Kim, S., Kim, H. I., & Ro, Y. M. (2024, March). Improving open set recognition via visual prompts distilled from common-sense knowledge. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 38, No. 3, pp. 2786-2794).
Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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