| Deep video quality assessor: From spatio-temporal visual sensitivity to a convolutional neural aggregation network W Kim, J Kim, S Ahn, J Kim, S Lee Proceedings of the European conference on computer vision (ECCV), 219-234, 2018 | 129 | 2018 |
| A deep cybersickness predictor based on brain signal analysis for virtual reality contents J Kim, W Kim, H Oh, S Lee, S Lee Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 78 | 2019 |
| Virtual reality sickness predictor: Analysis of visual-vestibular conflict and vr contents J Kim, W Kim, S Ahn, J Kim, S Lee 2018 tenth international conference on quality of multimedia experience …, 2018 | 53 | 2018 |
| Enhancement of visual comfort and sense of presence on stereoscopic 3D images H Oh, J Kim, J Kim, T Kim, S Lee, AC Bovik IEEE Transactions on Image Processing 26 (8), 3789-3801, 2017 | 32 | 2017 |
| A deep motion sickness predictor induced by visual stimuli in virtual reality J Kim, H Oh, W Kim, S Choi, W Son, S Lee IEEE Transactions on Neural Networks and Learning Systems 33 (2), 554-566, 2020 | 23 | 2020 |
| Modern trends on quality of experience assessment and future work W Kim, S Ahn, AD Nguyen, J Kim, J Kim, H Oh, S Lee APSIPA Transactions on Signal and Information Processing 8, e23, 2019 | 8 | 2019 |
| Cnn-based blind quality prediction on stereoscopic images via patch to image feature pooling J Kim, S Ahn, H Oh, S Lee 2019 IEEE International Conference on Image Processing (ICIP), 1745-1749, 2019 | 6 | 2019 |
| Visual preference prediction for enhanced images on ultra-high-definition display S Ahn, W Kim, J Kim, J Kim, S Lee 2018 25th IEEE International Conference on Image Processing (ICIP), 3548-3552, 2018 | 1 | 2018 |
