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2020 – today
- 2021
[c4]Hak Gu Kim, Sangmin Lee, Seongyeop Kim, Heoun-taek Lim, Yong Man Ro:
Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents. AAAI 2021: 836-844- [i3]Hak Gu Kim, Sangmin Lee, Seongyeop Kim, Heoun-taek Lim, Yong Man Ro:
Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents. CoRR abs/2104.06780 (2021) - 2020
- [j3]Hak Gu Kim
, Heoun-taek Lim, Yong Man Ro:
Deep Virtual Reality Image Quality Assessment With Human Perception Guider for Omnidirectional Image. IEEE Trans. Circuits Syst. Video Technol. 30(4): 917-928 (2020)
2010 – 2019
- 2019
- [j2]Hak Gu Kim, Hyunwook Jeong, Heoun-taek Lim, Yong Man Ro:
Binocular Fusion Net: Deep Learning Visual Comfort Assessment for Stereoscopic 3D. IEEE Trans. Circuits Syst. Video Technol. 29(4): 956-967 (2019) - [j1]Hak Gu Kim, Heoun-taek Lim, Sangmin Lee, Yong Man Ro:
VRSA Net: VR Sickness Assessment Considering Exceptional Motion for 360° VR Video. IEEE Trans. Image Process. 28(4): 1646-1660 (2019) - 2018
- [c3]Heoun-taek Lim, Hak Gu Kim, Yang Man Ra:
VR IQA NET: Deep Virtual Reality Image Quality Assessment Using Adversarial Learning. ICASSP 2018: 6737-6741 - [i2]Hak Gu Kim, Wissam J. Baddar, Heoun-taek Lim, Hyunwook Jeong, Yong Man Ro:
Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder. CoRR abs/1804.03939 (2018) - [i1]Heoun-taek Lim, Hak Gu Kim, Yong Man Ro:
VR IQA NET: Deep Virtual Reality Image Quality Assessment using Adversarial Learning. CoRR abs/1804.03943 (2018) - 2017
- [c2]Hak Gu Kim, Wissam J. Baddar, Heoun-taek Lim, Hyunwook Jeong, Yong Man Ro:
Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder. VRST 2017: 36:1-36:7 - 2016
- [c1]Heoun-taek Lim, Hak Gu Kim, Yong Man Ro:
Learning based hole filling method using deep convolutional neural network for view synthesis. Image Processing: Machine Vision Applications 2016: 1-5
Coauthor Index
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